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Remote Data Engineer Jobs in Boston, MA (NOW HIRING)

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Axiom

Data Architect (Remote)

Boston, MA · On-site +1

$69.25 - $89/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... The Data Architect directly manages the Data Engineer and operates in close coordination with the ...

Roberts Recruiting

Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Specifically for this role we're looking for talented software engineers who know how to get data and information into the hands of people who need it. Our growth is driven by informed decisions in ...

Foley

Staff Data Engineer

Boston, MA · Remote

$160K - $210K/yr

We are looking for a Staff Data Engineer to help us design, build, and scale the data systems that ... This role is primarily remote (US-based) and operates in EST hours, with occasional travel for team ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

Architect Data Engineer - AI Platforms Experience Level: 10+ yrs Work Location ... US East/Canada (Remote) Role Overview: Lead the architectural vision for a next-generation data ...

New

Kemper

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Kemper is seeking a Data Engineer 4 to design, develop, and optimize enterprise data solutions that ... Remote working arrangements may be available to non-local candidates. The range for this position ...

Roberts Recruiting

Senior Data Engineer (Remote)

Boston, MA · Remote

$115K - $156K/yr

Sr. Data EngineerEngineering Boston, Massachusetts * This is a remote or work-from-home role ... Pursue high-standard engineering principles to build a scalable, reliable, and maintainable data ...

Fidelity Investments

Principal Data Engineer

Boston, MA · On-site +1

$141K - $166K/yr

... Data Engineer (or closely related occupation) developing ETL framework to transfer files, creating PL/SQL scripts, and creating implementation plan during production implementation. Or, alternatively ...

MFS

Software Engineering Sr. Data Engineer

Boston, MA · On-site +1

$98K - $141K/yr

THE ROLE In conjunction with the Investment Data Management Office, the Senior Data Engineer ... MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any ...

Motional

Senior Data Engineer

Boston, MA · On-site +1

$159K - $207K/yr

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 ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Boston, MA

Remote Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do remote data engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for remote data engineer in Boston, MA is $140,917.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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 in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Boston, MA? The most popular types of Data Engineer jobs in Boston, MA are:
What are popular job titles related to Remote Data Engineer jobs in Boston, MA? For Remote Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Boston, MA look for? The top searched job categories for Remote Data Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Remote Data Engineer jobs? Cities near Boston, MA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $140,917 per year, or $67.7 per hour.
Data Engineer

Data Engineer

Arbor

Boston, MA • Remote

$117K - $140K/yr

Full-time

Posted 2 days ago

Job description

About Arbor

Arbor is building an intelligent electricity marketplace to power an abundant electric future. As AI data centers drive a surge in electricity demand, millions of homes and businesses remain trapped with 20th century monopoly interfaces, overpaying by billions while cheap renewable energy goes to waste. Our AI-powered platform aggregates users to unlock wholesale pricing, automatically switches between the best rates, and optimizes usage to align with prices in real-time—delivering the same market advantages that were previously exclusive to Fortune 500 companies. We've raised over $20 million from leading investors and have saved over $12 million for more than 100,000 homes and businesses.

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and the insights that drive pricing decisions, marketplace performance, and customer outcomes. Our data stack is modern, consolidated, and still maturing — which means you'll have real ownership over how it evolves, not just tickets to close.

This is a high-impact, high-ownership role on a lean team. We move fast, and we expect you to bring the same AI-first development mindset we apply across the entire engineering organization.

What You'll Do

Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt transformation layer end-to-end — modeling energy market data, customer lifecycle events, marketplace results, and utility rate feeds into clean, reliable, and well-documented data assets.

You'll partner closely with engineering, operations, and leadership to deliver analytics that directly inform business decisions — rate monitoring, supplier pricing trends, customer switching patterns, and marketplace performance. You'll work in Hex to build and maintain dashboards that surface actionable intelligence for non-technical stakeholders, and you'll help define data contracts and schema standards that make our Snowflake environment trustworthy as we scale.

You'll also play a meaningful role in shaping how we use AI in our data workflows — whether that's automating data quality monitoring, accelerating development with AI-assisted SQL and Python, or surfacing anomalies in complex regulatory data feeds.

What You Bring

3–6+ years of experience in a data engineering or analytics engineering role, ideally at a high-growth startup or in a domain involving complex, real-time data (energy, fintech, marketplace, or similar).

Strong dbt fundamentals — you know how to design models that are maintainable, not just functional. You think about testing, documentation, and downstream consumers as part of the job, not afterthoughts. Solid SQL is a given; Python for pipeline development or data quality tooling is a plus.

Hands-on experience with Snowflake, including schema design, query performance, and understanding the cost/performance tradeoffs of how data is structured and accessed. Comfort with GCP data services (BigQuery, Cloud Storage, Pub/Sub) is a plus given our infrastructure footprint.

Experience building dashboards for business stakeholders in tools like Hex, Looker, or similar. You know the difference between a dashboard that gets used and one that doesn't.

Energy markets or regulated industry experience is not required, but genuine curiosity about how electricity pricing, competitive markets, and the grid work will make this role more interesting to you.

An AI-native approach to your own productivity — you're actively using AI tools to accelerate development and aren't waiting for someone to tell you to start.

Compensation & Work Setup Competitive salary + meaningful equity + benefits. We're flexible on location but value regular in-person collaboration with the team.