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Remote Data Engineer Jobs in Somerville, NJ (NOW HIRING)

Growth Engineer (Remote)

New York, NY · On-site +1

$120K - $130K/yr

  • Medical

  • Retirement

  • PTO

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the ... We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it.

Senior Data Engineer | Emerging Products

New York, NY · On-site +1

$116K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

Senior Data Engineer

New York, NY · On-site +1

$126K - $180K/yr

  • Medical

  • Retirement

Senior Data Engineer The Data team is responsible for designing and operating the data ... Employees who do not live near one of our hubs are part of our remote workforce. All employees ...

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Big Data Engineer

New York, NY · Remote

$57 - $75.50/hr

Does NOT want a machine learning engineer, wants a big data engineer Required Skills: * 5-10 years of experience * Python, Airflow, PySpark, Spark SQL, Spark Streaming, Scala, Relational/No SQL ...

Data Engineer II

New York, NY · Remote

$120K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineering Team is responsible for building the data infrastructure that underpins our data analytics and data products that are used cross-functionally inside the company (finance, sales ...

New

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Senior Data Engineer

New York, NY · Remote

$150K - $200K/yr

  • Medical

  • Retirement

Senior Data Engineer We're hiring a Data Engineer to join our team and help build the foundation of Verse's data infrastructure. This is a high-impact, zero-to-one role where you'll help design and ...

Senior Data Engineer

New York, NY · Remote

$165K - $220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As a Senior Data Engineer at Regard, you will own the design, development, and production deployment of the data services that power the Regard platform. From ingesting and standardizing clinical ...

Lead Java Spark, Bigdata Engineer

New York, NY · On-site +1

$61 - $80.75/hr

Position Lead Java Spark, Bigdata Engineer Location NYC NY ( Remote , prefer EST / CST Zone) * Design and implement efficient data handling system based of Java and Spark tech stack. * Perform and ...

What you will bring * 2+ years in data engineering or analytics engineering with proven ability to ... We are a tech-enabled remote healthcare company. We value the impact and significance of all team ...

Senior Staff Data Engineer

New York, NY · On-site +1

$270K - $338K/yr

  • Retirement

  • PTO

The Opportunity The role is part of the Data Engineering team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to ...

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process ...

Showing results 41-60

Remote Data Engineer information

See Somerville, NJ salary details

$45.6K

$132.8K

$181.8K

How much do remote data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineer in Somerville, NJ is $132,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,300.00 and $140,800.00 per year, depending on experience, location, and employer.

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 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.

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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.

What are the most commonly searched types of Data Engineer jobs in Somerville, NJ?

The most popular types of Data Engineer jobs in Somerville, NJ are:

What are popular job titles related to Remote Data Engineer jobs in Somerville, NJ?

For Remote Data Engineer jobs in Somerville, NJ, the most frequently searched job titles are:

What cities near Somerville, NJ are hiring for Remote Data Engineer jobs?

Cities near Somerville, NJ with the most Remote Data Engineer job openings:

Infographic showing various Remote Data Engineer job openings in Somerville, NJ as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,846 per year, or $63.9 per hour.

Growth Engineer (Remote)

Soda Data

New York, NY • On-site, Remote

$120K - $130K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago


Job description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a GTM Engineer to build the machinery that gets that message to the people who need it. You'll join the Growth team reporting to a co-founder, and build the systems the rest of the team runs on: content, visuals, videos, skills, agents- whatever the biggest constraint is that quarter. Your first and largest project is the content engine.
Requirements
We publish a lot - webinars, technical blogs, founder LinkedIn, product marketing - and most of it is still hand-made. Your job is to build a pipeline that turns a raw source into content a Staff Data Engineer or CDO with 20 years of experience would read and forward: real prompt engineering, a defined voice per author, evals that catch regressions, and the taste to kill output that's accurate and lifeless. Anti-slop is the point: an engine that ships slop faster has negative value. We build agentically here - Claude Code, MCP servers, and agent skills are the daily workflow.
What You'll Do
  • Build the content engine end-to-end: ingestion, theme extraction, drafting, evals, and the review step
  • Create content including webinars and product videos
  • Own and grow audience
  • Our team writes in distinct ways; the engine should sound like them, not like a model.
  • Make quality measurable.
  • Own the numbers - reach, engagement, pipeline influence - and cut what doesn't work.
  • Contribute the rest of the Growth stack as constraints move.
  • Work directly with the founders, customers, customer engineers, to lean and improve on how Soda talks about the category. Your opinion matters here.
You Should Have
  • 3+ years building things that go to market: growth engineering, marketing ops, technical content, RevOps, or a founder background. Titles vary; portfolios don't.
  • You can write, story tell, and you can tell good writing from bad: send us something you wrote that a technical audience read. The most important line in this ad.
  • Serious prompt engineering: multi-step LLM pipelines with structured outputs and evals, not chatting with a model. You know why the naive version produces slop.
  • Enough code to be autonomous: Python or TypeScript, APIs, webhooks, a database. Nothing should be blocked waiting for an engineer.
  • Generalist instinct: you find the constraint and fix it, and you'd rather build the workflow than do the task fifteen more times.
  • Enough data fluency to be credible: you can hold your own on pipelines, dbt, and warehouses.
  • Independence: you don't need hand-holding in a distributed, async team across 12+ countries.
  • Fluent English.
Good to Have
  • Marketing or growth in data, developer tools, or infrastructure.
  • You've grown a technical audience of your own: newsletter, blog, LinkedIn, open source.
  • Building agentic workflows: MCP servers, Claude skills, or tool-using agents shipped to real users.
  • Data quality, data management, or data observability industry experience.

Benefits
  • $120,000-$130,000 base salary + equity.
  • Fully remote (US-based), with our Brooklyn office available if you want one.
  • All the tokens you need, across all frontier models.
  • Real ownership, real impact, no micromanagement.
  • PTO, 401k, medical insurance.

Our Values
We value freedom with responsibility, transparency, and a growth mindset. We avoid politics, have no tolerance for dishonesty, and value open and direct communication without judgment. We proactively bring up and address potential issues before they become critical, and we overcommunicate frequently. Working at Soda, you will have full autonomy to make impactful decisions.
Why you will love to join Soda
  • You own a function, not a queue: the content engine is yours to design, and behind it is a list of things nobody here has built yet.
  • Direct line to the founders: how Soda talks about the category gets decided with you in the room.
  • Be part of a transformation: data quality is having its moment, and we're at the front of it.
  • Work on your own terms: fully remote, flexible hours, colleagues in 12+ countries.
What you might not love
  • Rapidly changing priorities: our roadmap can pivot quickly. It's a fast-paced environment with a LOT of work to be done.
  • New and broad: no playbook for this role yet, and you'll be judged on output, not architecture. An elegant pipeline nobody reads from is a failure.
Hiring Process
  1. Screening - send one piece of writing or video you're proud of, and one thing you've built with AI.
  2. 20-minute phone screen - with a founder
  3. Craft deep dive (90 min)
  4. Culture fit (1 hour)

We answer every application, and every candidate hears back within 3-5 days of each step. If it's not a hell yes, it's a no, and we'll tell you quickly and kindly.