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<h3>Job Description</h3>
Job DescriptionAssistant Superinendent needed for ground up multifamily projects around Boston This Jobot Job is hosted by: Alex Hall Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $110,000 - $130,000 per year 
A bit about us:
 A top-tier GC with deep roots in New England is growing its multifamily division and hiring an Assistant Project Manager to support ground-up residential projects across the Boston area. If you’re looking to step into larger responsibilities with support from a collaborative, experienced team, this is a strong opportunity to level up your career. 
Why join us?
 
<ul>
<li>Join a fast-growing multifamily group within an already-established GC</li>
</ul>
 •Projects based in Boston—no travel, no out-of-state jobs •Excellent salary ($110K–$130K base) plus bonuses, full benefits, and promotion track •Work in a company culture that values mentorship, collaboration, and development If you’re ready to take the next step in your career and work on projects that matter, we’re hiring now. 
Job Details
 What You’ll Be Doing •Support PMs and Supers on large-scale multifamily projects (typically $25M–$75M) •Help manage submittals, RFIs, change orders, and day-to-day project documentation •Coordinate with field staff, design teams, and subcontractors •Assist with procurement, buyout, scheduling, and owner communications •Learn division processes and prepare for a future step into a PM role What You Bring •2–5 years of APM or PE experience in commercial or multifamily construction •Familiarity with wood frame, podium, or mixed-use residential projects •Strong organizational skills and ability to manage multiple project tasks •Experience using Procore, Microsoft Project, and Excel •A proactive attitude and interest in long-term career growth Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com. 
<h3>Company Description</h3>
Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Assistant Project Manager - Multifamily

<h3>Job Description</h3>
Job Description
We are seeking freelancers/consultants for on site IT Support in the Boston, MA area to join our team!
As a team member, you will assist our clients with resolving a range of computer-related issues and/or provide on-site support as needed.
Responsibilities:
<ul>
<li>Installation of workstations.</li>
<li>End-user support for executives, office personnel, and other key business stakeholders; this could include installation and configuration of hardware and software applications, as well as some security functions such as password resets, etc.</li>
<li>Experience with copying/restoring end user data files, migrating Windows 7 to Windows 10 utilizing tools such as Azure, SCCM, PXE boot, etc.</li>
<li>Basic networking, rack/stack/patch, remote hands support, etc.</li>
<li>Experience working with AD (active directory), domains, group policy, etc.</li>
<li>E-mail, A/V conferencing, VoIP device replace and configuration.</li>
<li>Support of enterprise solutions including Microsoft Office365, Exchange email, Anti-Virus software, etc.</li>
<li>Provide timely and efficient executive-level support.</li>
<li>Provide technical support on commonly used applications and devices (MFD network printers, O365 Applications, etc.)</li>
</ul>
Requirements:
<ul>
<li>5+ years support experience in an enterprise environment using Windows and some Apple/Mac hardware.</li>
<li>Application support for Microsoft Office365, Document Management, SharePoint Online and Exchange Online.</li>
<li>Working knowledge of Azure, Intune, and other cloud based services.</li>
<li>Operating Systems: Windows Server, Mac OS X (Server/Workgroup Manager), iOS and Windows 7 through 10.</li>
<li>Xerox, Canon, HP printer installation, local/network configuration and print management.</li>
<li>Excellent verbal and written communication skills.</li>
<li>Ability to effectively operate independently as well as in a team environment.</li>
<li>Ability to lift heavy objects up to 50 lbs.</li>
</ul>
We Offer:
<ul>
<li>Flexible work schedule! Hours/Shifts are on-demand - we'll work with your schedule &amp; availability!</li>
<li>Competitive compensation and 2hrs. minimum pay on all assignments.</li>
<li>Job related expense reimbursement.</li>
</ul>
Apply Today!
Company DescriptionTechmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations. 
<h3>Company Description</h3>
Techmate is a pioneering On-Demand, Technical Support Platform built for the distributed workforce. Our clients are some of the largest professional service firms, manufacturing, real estate and related brick and mortar companies who have nationwide and global office locations.

On Demand IT Support - Freelance/Consultant

<h3>Job Description</h3>
Job Description
Senior Data Engineer - Data Infrastructure and Architecture: C-4 Analytics
The ideal candidate understands the benefits of in-person teamwork and is available to work from our office a minimum of three days per week C-4 Analytics is a fast-growing, private, full-service digital marketing company that excels at helping automotive dealerships increase sales, increase market share, and lower cost per acquisition. C-4 Analytics is committed to developing innovative solutions for every dealer in every market and to providing the highest levels of accountability and customer service. We are currently hiring for a Senior Data Engineer as we look to expand our team and support our growing roster of local and national clients.
If you are unable to complete this application due to a disability, contact this employer to ask for accommodation or an alternative application process.
Who We're Looking For: Senior Data Engineer&nbsp;
Data Alchemy: Forging Insights from Information C-4 Analytics is looking for an Experienced Senior Data Engineer with expertise in data infrastructure and architecture to help shape the future of our data-driven digital marketing platforms. As a part of our growing Product, Engineering, and AI team, you’ll play a critical role in identifying and bringing together our diverse data sources and orchestrating intelligent systems. We need you to lead with an AI-forward mindset—designing and managing pipelines, platforms, and orchestration technologies that transform information into actionable insights.
We're not just processing data—we're transforming it into organizational intelligence. As our Data Engineering Virtuoso, you'll build enterprise-grade AI pipelines, turning unstructured data into decision-making gold by creating intelligent data platforms at scale.
Illuminate the Future of Marketing Intelligence The ideal candidate will have a strong background in ETL/ELT pipelines, data warehouse connectivity, data cleaning, normalization, database architecture, database optimization, and orchestration processes. This role will be responsible for orchestrating and delivering enterprise-grade AI pipelines. Connecting disparate data sources to Snowflake (our data warehouse), ensuring the cleanliness and normalization of data, and implementing database architecture best practices.
Your Canvas
<ul>
<li>Prototype the Impossible&nbsp;&nbsp;
<ul>
<li>Design, develop, and maintain proof-of-concepts using cutting-edge technologies, then refine them into production-ready solutions.&nbsp;</li>
</ul>
</li>
<li>Empower Through Innovation&nbsp;&nbsp;
<ul>
<li>Craft intuitive tools that elevate data scientists and analysts to their highest potential</li>
<li>Collaborate with cross-functional teams to ensure that data storage and organization align with business needs and objectives.</li>
</ul>
</li>
<li>Seamless Scaling &amp; Performance Optimization
<ul>
<li>Implement database architecture best practices, including database sharding, replication strategies, indexing, and optimization techniques to enhance data performance.</li>
</ul>
</li>
<li>Compose Data Symphonies&nbsp;&nbsp;
<ul>
<li>Orchestrate enterprise-grade AI pipelines for complex data flows that bring harmony to disparate sources through batch and streaming pipelines</li>
<li>Evaluate and optimize data storage and retrieval systems based on relationships, data access patterns, cost-effectiveness, and performance requirements.</li>
</ul>
</li>
<li>Blueprint Before Building&nbsp;&nbsp;
<ul>
<li>Design elegant solutions and document your vision so others can follow your path</li>
<li>Provide leadership and guidance on information architecture decisions, ensuring that data is stored, organized, and accessed in the most efficient and effective manner.</li>
</ul>
</li>
</ul>
Your Toolkit
<ul>
<li>The Languages You Speak: Python, SQL, the dialect of data</li>
<li>Libraries | Tools: Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena</li>
<li>Your Trusted Companions: Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes</li>
<li>Your AWS Kingdom: Lambda, Redshift, EC2, ELB, IAM, RDS, Route53, S3—the building blocks of cloud mastery</li>
<li>Your Philosophy: Continuous integration/deployments, (CI/CD) automation, rigorous code reviews, documentation as communication</li>
</ul>
Preferred Qualifications
<ul>
<li>Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few…</li>
<li>Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc.</li>
<li>Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi</li>
</ul>
What's important for us:
<ul>
<li>Academically Grounded: Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.</li>
<li>Seasoned Practitioner: 5+ years of experience in data engineering, with a focus on data infrastructure, architecture, and database management.</li>
<li>Code Craftsperson: Fluent in Python and SQL, expressing complex logic with elegant simplicity</li>
<li>Database Strategist: Understanding when to deploy relational, vector, graph, or document data models. Strong understanding of database architecture principles, including sharding, replication, indexing, and optimization techniques.</li>
<li>Data Driven: Proficiency in designing and developing ETL/ELT pipelines for data integration and transformation.</li>
<li>Cloud Navigator: Confidently guiding projects through the AWS ecosystem and hands-on experience with Snowflake or similar cloud-based data warehouse platforms.</li>
<li>Dynamic Collaborator: Adept Problem-Solver with keen attention to detail. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, collaborative environment. Your data and pipelines will directly power our most core platforms that our client teams rely on to make million-dollar decisions.”</li>
<li>Infrastructure Poet – Expressing infrastructure needs as clear, reproducible code. Packaging or containerizing applications for consistency across environments. Knowledge of information architecture best practices, data modeling, and data governance.</li>
<li>Question Seeker – Finding the right questions that others haven't thought to ask.&nbsp;</li>
</ul>
Brownie Points
<ul>
<li>Visualization Artist – Creating compelling visual narratives from complex data patterns</li>
<li>Statistical Thinker – Grounding engineering decisions in mathematical rigor</li>
<li>Framework Explorer – Experience with web frameworks that extend data's utility</li>
<li>Security Mindful – Navigating enterprise security with confidence and care</li>
</ul>
Compensation:
We offer a competitive compensation commensurate with experience and qualifications. The salary range for this position is $120,000.00 - $180,000.00. The final salary will be determined based on factors such as skills, knowledge, and demonstrated expertise.
Please note that the stated salary range is flexible and negotiable based on individual qualifications and fit for the role. We encourage candidates to discuss their salary expectations during the interview process.
Flexibility:
We have a strong preference for this position to reside in our Wakefield, MA office. The Senior Data Engineer may benefit from the flexibility to work in a way that suits them best. We offer the following working options:
<ul>
<li>Office-Based: Our modern and well-equipped office space provides a collaborative environment where you can work closely with your team, engage in face-to-face interactions, and foster a sense of community.</li>
<li>Hybrid: For those who prefer a balance between office and remote work, we offer a hybrid model. This allows you to divide your time between working in the office and remotely, providing the best of both worlds.</li>
</ul>
Working at C-4 Analytics
We provide our employees with a range of benefits, including career development programs, unlimited paid time off, and additional perks. All are welcome to visit our careers and culture page for more details.&nbsp; What our Employees Say:
Want to know what makes working at C-4 Analytics so rewarding? Take it from the true experts: our current teammates. Recent surveys about our workplace and culture suggest that our staff loves:&nbsp;
<ul>
<li>The People: It's not just a cliché; we have the best, hungriest and smartest team in the business.</li>
<li>The Culture: Teamwork. Camaraderie. Perseverance. We hire for these traits, and it shows.</li>
<li>The Growth: We place a real emphasis on training, development and career planning.</li>
<li>The Trust: Our managers empower their people and teams to thrive in their own ways.</li>
<li>The Challenge: We work in a competitive industry and a dynamic field. You'll never be bored!</li>
</ul>
In-Office Perks
<ul>
<li>Accelerated Growth via Osmosis and Coaching: Learn sales strategies and industry knowledge naturally by hearing colleagues handle calls and receive instant feedback and hands-on guidance from your manager and colleagues during in-person weekly one-on-ones.</li>
<li>Boosted Visibility and Networking: Build strong connections with your team, leaders, and mentors, increasing your visibility within the organization, which can lead to more opportunities for career advancement.</li>
<li>Soft Skills Mastery: Develop crucial soft skills in a group setting, such as communication, problem-solving, and teamwork, which are essential for long-term professional success.</li>
<li>Knowledge Transfer and Expertise: Benefit from informal knowledge sharing and mentorship, ensuring constant access to the information and guidance needed to become an expert in the automotive world.</li>
<li>Spark Innovation and Collaboration: Physical proximity facilitates spontaneous discussions and brainstorming sessions that spark innovative and creative solutions to problems.</li>
<li>Enjoy Daily Perks and Wellness: Fuel your day with cold brew on tap, free beverages, and a stocked snack pantry. Additionally, enjoy free weekly lunch and monthly wellness events like Yoga and Paint &amp; Sip.</li>
<li>Structured Work-Life Balance: Our Monday through Friday, 9:00 am to 5:30 pm schedule helps you separate work from home, reducing the risk of burnout.</li>
</ul>
More About C-4 Analytics
C-4 Analytics takes the guesswork out of advertising. We don’t over-promise: we over-deliver. We provide real value to our clients because we really value them as partners. We love Google and Facebook, but also love Instagram and Bing. We innovate, educate, and instigate. We are forward-thinking, but we learn from the past. We are results-driven, and our strategies drive results. We love the practical applications of psychology to marketing, but we aren’t above a good practical joke. We are team players, but we love to crush our competitors. We create an environment of respect, and we respect the environment. We are the brains and the good looks. We are very humble. We are nerds, but cool, likable nerds. We are never gonna give you up. Never gonna let you down. We are all work and all play. We calculated that only 15.8% of visitors who started this paragraph would actually read this far down. We are C-4 Analytics.
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PWjoJTvPSQ

Senior Data Engineer - Data Infrastructure and Architecture

<h3>Job Description</h3>
Job DescriptionCompany Overview Rhythm is a global, commercial-stage biopharmaceutical company committed to transforming the lives of patients and their families living with rare neuroendocrine diseases. We develop medicines for previously untreatable or undertreated diseases and provide meaningful support for healthcare providers and patients and their families. We recognize the courage it takes for patients and their caregivers to begin their journey of advocacy to find the answers they need. Their courage inspires us to challenge convention, ask bold questions and seek answers for them. Every day, we strive for excellence through our willingness to adapt, learn, and our tenacity to overcome barriers, together. Job Summary We are seeking a highly motivated and experienced Director of Data Science to lead data-driven initiatives in support of our clinical, regulatory, and scientific objectives. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for developing and implementing advanced data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic area. This role will work collaboratively with key inter-disciplinary stakeholders (e.g. biostatistics, clinical development and regulatory affairs) to drive the generation of actionable data insights to support enterprise-wide goals and initiatives. This position offers the opportunity to shape data strategy at a growing biotech and directly impact research, development, and regulatory decision-making. Responsibilities and Duties
<ul>
<li>Lead the design, development, and implementation of data analysis pipelines, predictive models, and statistical frameworks to support research, clinical, and regulatory programs.</li>
<li>Partner cross-functionally with Biostatistics, Clinical, Regulatory, and Market Access teams to ensure data insights align with organizational priorities.</li>
<li>Oversee data processing, curation, and integration from clinical trials, biomarker studies, and external datasets.</li>
<li>Translate complex data outputs into actionable insights to inform publications, protocol development, and regulatory submissions.</li>
<li>Ensure data quality, reproducibility, and compliance with company and industry standards.</li>
<li>Provide scientific and technical leadership for the use of statistical genetics, machine learning, and advanced analytics in biomarker and outcomes research.</li>
<li>Mentor and guide junior scientists and analysts in the use of SQL, Python, and R for statistical modeling, data visualization, and automation.</li>
<li>Collaborate with internal and external stakeholders to drive innovation in data science applications and contribute to the company’s broader data strategy.</li>
</ul>
 Qualifications and Skills
<ul>
<li>Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.</li>
<li>8+ years&nbsp;of industry experience in biotechnology, pharmaceuticals, or healthcare analytics, with demonstrated leadership in cross-functional projects.</li>
<li>Experience with obesity/metabolic-related biology and datasets</li>
<li>Strong programming and data manipulation skills in SQL, Python, and R.</li>
<li>Proven expertise in biostatistics, statistical genetics, and predictive modeling.</li>
<li>Experience integrating and analyzing clinical trial and biomarker datasets.</li>
<li>Experience handling population-scale genomics datasets (e.g., UKB, AoU); familiarity with the ACMG classification system; statistical analysis of rare variants. </li>
<li>Familiarity with real-world data, electronic medical records, omics analysis, and data visualization platforms.</li>
<li>Excellent communication skills with the ability to translate data findings into strategic insights for diverse stakeholders.</li>
<li>Demonstrated ability to work independently, prioritize effectively, and deliver high-quality results under deadlines.</li>
<li>Track record of innovation, scientific rigor, and collaboration across multidisciplinary teams.</li>
<li>Leadership experience in a matrixed environment or managing small teams.</li>
</ul>
 This role is based out of our corporate office in Boston, Massachusetts. Rhythm operates in a hybrid-work model. Candidates applying must be willing and able to be in the Boston office in coordination with their department and business needs. This role may involve&nbsp;some travel. The expected salary range for this position is $182,000 - $275,000. Actual pay will be determined based on experience, level, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and company performance. This role may be eligible for benefits and other compensation such as restricted stock units. More about Rhythm We are a dynamic and growing global team spanning more than a dozen countries. At Rhythm we are dedicated to transforming the lives of patients living with rare neuroendocrine diseases by rapidly advancing care and precision medicines that address the root cause.&nbsp; Our team is passionate about&nbsp;expanding access to reach more patients and developing novel therapies for other rare neuroendocrine diseases, including congenital hyperinsulinism. At Rhythm our core values are:
<ul>
<li>We are committed to advancing scientific understanding to improve patients’ lives</li>
<li>We are inspired to tackle tough challenges and have the courage to ask bold questions</li>
<li>We are eager to learn and adapt</li>
<li>We believe collaboration and ownership are foundational for our success</li>
<li>We value the unique contribution each individual brings to furthering our mission</li>
</ul>
 Rhythm is an equal employment opportunity employer and does not discriminate against any applicant because of race, creed, color, age, national origin, ancestry, religion, gender, sexual orientation, disability, genetic information, veteran status, military status, application for military service, or any other class protected by state or federal law. Headquartered in Boston, Rhythm is proud to have been named one of the Top Places to Work in Massachusetts. &nbsp;
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ntgvSgLhU4

Director, Data Science

<h3>Job Description</h3>
Job Description
Job Title: Data Engineer FLSA Classification: Exempt (Salaried)
Reports to: Senior Director of Business and Data Analytics

Position Summary 
The Data Engineer is responsible for developing and maintaining GBFB’s data warehouse and other data-related products including API management, data ingestion, data modeling, cost/activity monitoring and implementing best practice solutions to improve data reliability, efficiency, and quality. They will share the Business and Data Analytics team’s goal to grow GBFB’s data management program, empower self-service reporting, and drive data-informed insights &amp; action across GBFB.
 
Role &amp; Responsibilities
<ul>
<li>Develop data platforms including data warehouses, analytic products, data lakes, ETL, ML models, and data pipelines in collaboration with the Senior Director, data analysts, and subject matter experts.</li>
<li>Centralize, transform, and model data in Azure to enable powerful analysis and draw a more comprehensive picture of user flows throughout our system.</li>
<li>Enhance and optimize Azure data ingestion pipelines and automations.</li>
<li>Develop and manage Boomi, Power Automate, and other data extract/load pipelines.</li>
<li>Provide relational database expertise (Netsuite, Salesforce, SQL, etc.) to construct views and execute queries to be used in data visualization and analysis activities.</li>
<li>Develop data models that can be used to make predictions and answer questions for the overall business.</li>
<li>Develop self-service data solutions to provide a range of business leaders and functional areas insights into GBFB’s operations.</li>
<li>Leverage industry best practices to ensure data quality standards are met.</li>
<li>Apply and ensure adherence to IAM and Data Governance policies.</li>
<li>Promote updated code through DevOps through the development, pre-production, and production tiered environment.</li>
<li>Develop and execute tools to monitor and report on data warehouse activity, access and data quality and ensure optimized performance and cost efficiency. </li>
<li>Foster appreciation and adherence to the principles of data quality management.</li>
<li>Collaborate with Technology team in managing security mechanisms and data access governance.</li>
<li>Respond to data and product related inquiries to support business and technical teams.</li>
<li>Support the development and implementation of the Service Insights client data collection effort through API management, data ingestion and modelling; providing expertise to ensure quality data capture, analytic capabilities, and support the potential for changing business needs and future growth.</li>
<li>Act as backup to Data Analyst and Senior Data Analyst.</li>
<li>Maintain and develop departmental Standard Operating Procedures</li>
<li>Other duties as assigned.</li>
</ul>
 
Skills:
<ul>
<li>Deep understanding of database design, architecture, and management.</li>
<li>Knowledge of data warehousing architecture, concepts, methodologies, and best practices.</li>
<li>Knowledge of data governance, data quality management concepts, and data quality tools. </li>
<li>Proficient in SQL, Python, and some experience with other programming languages for cloud platform (e.g., Java/C#/Unix).</li>
<li>Ability to transform business requirements into technical requirements.</li>
<li>Ability to develop machine learning models.</li>
<li>Ability to analyze large and diverse data sets.</li>
<li>Strong critical thinking skills.</li>
<li>Excellent problem solving and troubleshooting skills.</li>
<li>Strong relationship building and interpersonal skills.</li>
<li>Strong communication skills both verbal and written.</li>
<li>Ability to create insightful and accessible data visualizations.</li>
<li>Ability to create professional and comprehensive reports and summaries.</li>
<li>Flexibility and adaptability to emerging and changing priorities.</li>
<li>Ability to multi-task and manage tight deadlines.</li>
<li>Sensitivity to issues affecting low-income, food insecure populations.</li>
</ul>
Qualifications:
<ul>
<li>MS in Computer Science, Engineering, or related field; BS in Computer Science, Engineering or related field and minimum of 3 years working in a Data Engineer or related role; or 5+ years of experience working in a Data Engineer role required.</li>
<li>Hands-on experience with big data application development and cloud data warehousing (e.g., Spark, Redshift, Snowflake, Azure SQL DW, BigQuery) required.</li>
<li>Knowledge of Azure Synapse and DevOps required; hands-on experience preferred.</li>
<li>2+ years of experience with SQL required.</li>
<li>2+ years of experience with scripting languages (Python, PowerShell) required.</li>
<li>2+ years of experience interacting with web service APIs (SOAP, REST) required.</li>
<li>2+ years of experience designing, implementing, testing, optimizing, and troubleshooting data ETL solutions preferred.</li>
<li>Experience with BI reporting tools required, Power BI preferred.</li>
<li>Experience with Boomi preferred.</li>
<li>Experience with Power Automate preferred. </li>
<li>Demonstrates the required digital competencies that result in the effective usage of the full range of digital technologies at GBFB.</li>
</ul>
Physical Demands:
<ul>
<li>Ability to work in an office environment.</li>
<li>Ability to work remotely both independently and collaboratively using connectivity tools like Zoom and MS Teams.</li>
<li>Ability to sit for up to 3 hours at a time.</li>
<li>Ability to lift up to 25 pounds with or without assistance.</li>
<li>Ability the use of hands for simple grasping and fine manipulations. </li>
<li>Ability to travel based on business needs. </li>
</ul>
Work Location: 
<ul>
<li>Hybrid: This role follows a hybrid schedule working in accordance with GBFB’s hybrid work policy on the team’s designated days. This schedule is subject to change based on the organization’s mission to end hunger.</li>
</ul>
Affirmative Action/EEO statement 
GBFB provides equal employment opportunities to all Team Members and applicants for employment without regard to race, creed, color, religion, national origin, citizenship status, gender, sexual orientation, marital status, age, disability, handicap, genetic information, protected veteran status or any other characteristic protected by applicable federal, state, and local laws. This applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, benefits, and training.

No Team Member or applicant will be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged in or may engage in any of the following: (1) filing a complaint of employment discrimination; (2) assisting or participating in an investigation, compliance review, hearing, or any other activity related to the administration of any federal, state or local law requiring equal opportunity; (3) opposing any act or practice made unlawful by any federal, state or local law requiring equal opportunity; or (4) exercising any other right protected by any federal, state or local law requiring equal opportunity.

Data Engineer

<h3>Job Description</h3>
Job Description
The company will not interview or hire any resumes/candidates who need sponsorships, i.e., H1BVs, only US Citizens, or Green card holders!
&nbsp;
Top Wealth Management firm needs someone who has experience in the financial services arena.. understands trading and backed up with a minimum of 5 years out of a Top Firm!!
You need to have investment management experience! This is a must!
Also must work onsite ...5 days a week! M-F.
&nbsp;
• Implementation of new and improvement of existing business applications.
• Work with various Investment teams, Trading and other business units to design, develop and maintain solutions that will enhance performance, automate workflows and reduce errors.
• Support existing systems.
&nbsp;
Qualifications and Technical Skills:
• Minimum of a bachelor’s degree in computer science or equivalent.
• Five plus years of software development experience with strong analysis, design, and modeling skills. Financial services industry preferred.
• Proficiency in SQL programming along with database modeling and design, primarily using Microsoft SQL Server.
<ul>
<li>Proficiency in using C# and/or Java for back-end development.</li>
<li>Experience with version control systems (Git, TFVC).</li>
<li>Excellent problem-solving and debugging skills.</li>
<li>Ability to work independently and as part of a team.</li>
<li>Strong communication and interpersonal skills.</li>
<li>Experience with one or more of the following will be considered a plus:</li>
<li>
<ul>
<li>Charles River Investment Management System</li>
<li>Markit EDM Platform</li>
<li>Data Warehouse Platforms</li>
<li>Front-end web frameworks like Angular/React</li>
<li>Large Language Models like GPT</li>
</ul>
</li>
</ul>
&nbsp;
In addition to a competitive base salary, a Bonus will be offered, along with full benefits!
&nbsp;
Company DescriptionGreat reputation and high employee morale! Well Established! 
<h3>Company Description</h3>
Great reputation and high employee morale! Well Established!

Software Engineer Analyst

<h3>Job Description</h3>
Job Description
Mission:
We are seeking a highly skilled and motivated Senior Data Analysis Engineer for our large-scale AI model and software evaluation framework – Ground Truth Regression. The ideal candidate will have a strong background in data engineering, machine learning principals and statistical analysis. 
At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. 
The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects &amp; long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI's. The team works together with all other perception and ML teams to develop the metrics and analyze results. 
What You'll Do:
<ul>
<li>Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI's for the validation of the autonomous vehicle performance.</li>
<li>Drive innovation by researching and developing new large scale data analysis systems.</li>
<li>Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.</li>
<li>Build high-quality datasets to improve ML products through training &amp; edge case validation.</li>
<li>Provide statistical depth on model performance &amp; generalization through rigorous error and change analysis.</li>
</ul>
What We're Looking For:
<ul>
<li>Bachelor's or Master's degree in Computer Science, Data Science, or a related field.</li>
<li>Strong programming skills in Python, SciPy, and related data analysis frameworks.</li>
<li>Experience in machine learning, data mining, and statistical analysis.</li>
<li>Experience with large-scale data processing and distributed computing technologies.</li>
<li>Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development. </li>
</ul>
Bonus Points:
<ul>
<li>Ph.D. in Computer Science or a related field.</li>
<li>Experience with cloud platforms such as AWS, Google Cloud, or Azure.</li>
<li>Experience with machine learning in the autonomous driving domain.</li>
<li>Publications or contributions to the AI/ML community.</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. 
Salary Range$159,000—$207,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Senior Data Engineer

<h3>Job Description</h3>
Job Description
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit <a href="http://www.CareAccess.com" target="_blank">www.CareAccess.com</a>.
How This Role Makes a Difference
We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. 
How You'll Make An Impact
Data Engineering Strategy and Architecture:  
<ul>
<li>Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.  </li>
<li>Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. </li>
<li>Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.  </li>
</ul>
Data Infrastructure and Performance Optimization:  
<ul>
<li>Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).  </li>
<li>Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.  </li>
<li>Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.  </li>
</ul>
Collaboration and Stakeholder Engagement: 
<ul>
<li>Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.  </li>
<li>Review and refine work completed by other team members, ensuring quality and performance standards are met.  </li>
<li>Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity</li>
</ul>
Technology and Tools: 
<ul>
<li>Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.  </li>
<li>Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.  </li>
<li>Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. </li>
</ul>
Other Responsibilities:
<ul>
<li>Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. </li>
</ul>
The Expertise Required
<ul>
<li>Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.  </li>
<li>Experience working with structured and semi-structured data from diverse domains.  </li>
<li>Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.  </li>
<li>Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. </li>
</ul>
Certifications/Licenses, Education, and Experience:
<ul>
<li>Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.  </li>
<li>5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.  </li>
</ul>
How We Work Together
<ul>
<li>This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. </li>
<li>This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. </li>
</ul>
The expected salary range for this role is $120,000-$160,000 USD per year. In addition to base pay, employees may be eligible for 401k, stock options, health and wellness benefits and paid time off.
Diversity &amp; Inclusion
We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. 
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Care Access is unable to sponsor work visas at this time.
If you need an accommodation to apply for a role with Care Access, please reach out to: <a href="mailto:TalentAcquisition@careaccess.com" target="_blank">TalentAcquisition@careaccess.com</a>

<h3>Job Description</h3>
Job DescriptionThe Company:Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built&nbsp;in our lifetimes, and we’re combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We’re seeking the thinkers, builders, and researchers who can help us deliver the future of automation.Job Summary:Are you tired of writing incremental code for massive CRUD web-apps? Do you want to build systems from the ground up that effect change in the physical world, not just the digital one? At Tutor, we are motivated by atoms not electrons: every line of code you write has a real world impact at the foundation of our global economy, solving the core technical problems to evolve humanity and society to the next level.Tutor Intelligence builds software to enable ordinary robots to achieve extraordinary things. As a platform engineer, your work lies at the center of this challenge, orchestrating real time robot code, machine learning systems, data labeling frontends, and optimizing compilers across a myriad of platforms.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We’re characterized by both technical excellence and next-level collaboration and respect.Responsibilities
<ul>
<li>Architecting and engineering core software across one or more of: robot software, backend services, ML services, cloud infrastructure / dev-ops</li>
<li>Involvement in new project planning</li>
</ul>
Prerequisites
<ul>
<li>Strong programming skills in Python</li>
<li>Software engineering tooling: git, unix shell, etc</li>
<li>Collaborative nature and social skill set</li>
<li>Interest in robotics, AI, solving hard problems, or improving the future of humanity</li>
<li>Passion for building things (and just getting stuff done)</li>
</ul>
Nice to Haves
<ul>
<li>Experience building web applications with React</li>
<li>Background or interest in ML or robotics</li>
<li>Experience leading teams and projects</li>
</ul>
All offers include generous equity, fully covered health + dental, and unlimited PTO.

Platform Software Engineer

<h3>Job Description</h3>
Job Description
Job Tittle: Data Engineer 
Location - Boston, MA (Need Local) Visa: USC, GC, H4-EAD, GC-EAD 
 
Must have: Spark, Scala, AWS, ETL, Python, lambda/glue/s3 
 Key responsibilities: AWS data engineers are responsible for designing and building data pipelines and developing ETL/ELT processes using tools such as AWS Glue, EMR, and Redshift to prepare data for analytics. They integrate data from various sources and create and maintain data models efficient for storage and analysis. Ensuring data quality, security, and compliance through implementing checks, validation processes, and security best practices is also crucial. The role involves monitoring and optimizing data processing jobs and databases for performance, collaborating with stakeholders to understand data requirements, and maintaining and operationalizing existing data solutions. 
Minimum Skills Required: At least 6+ years of relevant experience in design, development, complete end-end design of enterprise-wide big data solution.
<ul>
<li>Experience in designing &amp; developing a big data solution using Spark, Scala, AWS Glue, Lambda, SNS/SQS, Cloudwatch is a must. </li>
<li>Strong Application development experience in Scala/Python. </li>
<li>Strong Database SQL experience, preferably Redshift. </li>
<li>Experience in Snowflake is an added advantage. </li>
<li>Experience with ETL/ELT process and frameworks is a must. </li>
<li>Strong background in AWS cloud services like lambda, glue, s3, emr, sns, sqs, cloudwatch, redshift </li>
<li>Expertise in SQL and experience with relational databases like Oracle, MySql, PostgreSQL </li>
<li>Proficient in Python programming for data engineering tasks, automations </li>
<li>Experience with shell scripting in Linux/Unix environments. </li>
<li>Experience with Big Data – Hadoop, Spark </li>
<li>Financial Services experience required </li>
</ul>
Nice to have - knowledge in Machine Learning models, regression, validation If you are interested, please send your Updated Resume with the following info at the earliest. 
<ul>
<li>Full Legal Name: </li>
<li>Current City, State, Zip: </li>
<li>Interview Availability: </li>
<li>Start availability: </li>
<li>Work Authorization: </li>
<li>Phone No: </li>
<li>Hourly Rate: </li>
</ul>

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