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Weekend Data Engineering Jobs in Massachusetts (NOW HIRING)

Gradient AI

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity. How you ...

HackerOne

Manager, Data Engineering

Boston, MA · On-site

Manager, Data Engineering Remote Location: Boston, MA; Austin, TX; or Washington, DC Position Summary HackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne team. You will ...

hackerone

Manager, Data Engineering

Boston, MA

Manager, Data Engineering Remote Location: Boston, MA; Austin, TX; or Washington, DC Position Summary HackerOne is seeking a Manager to lead Applied Data Engineering on our DataOne team. You will ...

LingaTech

Manager of Data Engineering

Boston, MA · Hybrid

$124.40K - $149.40K/yr

Data Engineer Location: Boston, MA Position Type: Hybrid Hybrid Schedule: 4 days/week onsite Contract Length: 7 months, contract-to-hire Position Overview: This role involves designing, building, and ...

Magna

Manager Data Analytics & Engineering

Lowell, MA

$105.78K - $196.44K/yr

We are seeking a Manager Data Analytics & Engineering to lead the development of scalable data platforms, analytics systems, and data science solutions that enable intelligent, data-driven decision ...

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Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What are the most commonly searched types of Data Engineering jobs in Massachusetts? The most popular types of Data Engineering jobs in Massachusetts are:
Weekend Data Engineering jobs near you
Data Engineering Manager

Data Engineering Manager

Gradient AI

Boston, MA • On-site, Remote

$170K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Gradient AI:

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry's largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:

If you want to work on cutting edge technology with friendly, intelligent people in a highly collaborative environment, then Gradient AI is the right place for you. We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity.

How you will make an impact:

  • Grow, build, and lead a world-class engineering team
  • Participate in high-level design decisions and execute them
  • Work closely with data engineering, software engineering, and data science team members to create integrated automated processes that support a robust ML Ops workflow
  • Be a technical interface for our client implementation team and partners to implement clients

Skills needed to succeed:

  • 7+ years of experience with data engineering & software architecture in an enterprise commercial setting
  • 5+ years managing developers, helping grow their careers and improve their skills, ideally in a hybrid / remote setting
  • Strong understanding of data engineering processes and proven track record of facilitating and improving cross team / cross department collaboration
  • Familiarity with ML model deployment and ML Ops concepts— enough to partner effectively with data science teams
  • Strong experience with cloud technologies, specifically AWS
  • Familiar with databases (Postgres, MySQL) and application development (Python, Java)
  • Familiarity with orchestration tools (Airflow), big data processing tools (Databricks), and schema management tools

Bonus Points for:

  • Experience managing teams across multiple engineering disciplines, including both software and data engineering. 
  • Experience transitioning from client-driven development priorities to product roadmap priorities  
  • Experience working in Insurtech or on AI/ML products 

What We Offer:

  • A fun, team-oriented startup culture.
  • Generous stock options - we all get to own a piece of what we're building.
  • Unlimited vacation days.
  • Flexible schedule that supports working from home.
  • Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
  • Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $170,000-205,000 base salary annually.
This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.