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Remote 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 ...

Saviance

Senior Data Engineer

Boston, MA · Remote

$115.20K - $156.40K/yr

Remote - EST About BigRio BigRio is a Boston-based technology consulting firm specializing in AI/ML, data engineering, and digital transformation . We partner with leading organizations across ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124.40K - $149.40K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121.10K - $145.40K/yr

Enable data for AI/ML use cases by preparing feature-rich datasets, supporting feature engineering, and ensuring data consistency for model training and inference * Support deployment and ...

Intellisoft Technologies

Data Engineer

Waltham, MA · Remote

$58/hr

Yes 100% remote! EST hours Required Skills • Skilled in object-oriented programming (Python in ... Senior Data Engineer Location: Remote As a Senior Data Engineer, you will be part of a cross ...

Care Access

Senior Data Engineer

Boston, MA · Remote

$120K - $160K/yr

... engineering with a proven track record of building cloud-based, production-grade data pipelines.  How We Work Together * Location: This role requires 100% of work to be performed in a remote office ...

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Remote Data Engineering information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do remote data engineering jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data engineering in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Massachusetts? The most popular types of Data Engineering jobs in Massachusetts are:
What are popular job titles related to Remote Data Engineering jobs in Massachusetts? For Remote Data Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Massachusetts look for? The top searched job categories for Remote Data Engineering jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Engineering jobs? Cities in Massachusetts with the most Remote Data Engineering job openings:
Remote 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.