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Remote Data Engineering Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... This is hands-on engineering position requiring the ability evaluate execution layer code. Data ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Document and refine data engineering change management policies, aligning with industry best ...

Paradigm

IT Data Engineer III - Remote

Lombard, IL · On-site +1

$115K - $140K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Document and refine data engineering change management policies, aligning with industry best ...

paradigm

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Document and refine data engineering change management policies, aligning with industry best ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

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 ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... About this Opportunity Spokeo is seeking a Data Engineering Manager to help build a ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Skillable

Manager, Data Engineering

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Skillable is a 100% remote and virtual tech company that's modernizing the world of training. Come ... The Manager, Data Engineering, is responsible for turning data architecture vision into reliable ...

FirstEnergy

Supervisor Data Engineering

Akron, OH · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Position is currently remote but may work at or visit a facility based on business need. This position is within FirstEnergy Service Company, a subsidiary of FirstEnergy Corp. The Data Engineering ...

Courier Newsroom, Inc.

Data Engineering Director

NY · Remote

  • Medical

  • Retirement

  • PTO

DATA ENGINEERING DIRECTOR Remote (U.S.-based) | Full-Time | $130K-$140K Join Courier Newsroom - an organization that drives journalism and empowers communities. AtCourier Newsroom, we're reinventing ...

Zillow

Director, Data Engineering - Business Data

$178K - $284K/yr

You will lead a team of engineers to build a modern data platform at the speed of the business ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Jobsultant Solutions

Remote Data Analyst

Dallas, TX · Remote

Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

Zillow

Director, Data Engineering - Business Data

$178K - $284K/yr

You will lead a team of engineers to build a modern data platform at the speed of the business ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

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Remote Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive as a remote data engineer?

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 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.

More about Remote Data Engineering jobs

What cities are hiring for Remote Data Engineering jobs?

Cities with the most Remote Data Engineering job openings:

What are the most commonly searched types of Data Engineering jobs?

The most popular types of Data Engineering jobs are:

What states have the most Remote Data Engineering jobs?

States with the most job openings for Remote Data Engineering jobs include:

What job categories do people searching Remote Data Engineering jobs look for?

The top searched job categories for Remote Data Engineering jobs are:

Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer IV (Remote)

ROI Agency

Spokane, WA • Remote

$117K - $140K/yr

Full-time

Re-posted 27 days ago

Job description

*Due to NERC regulations US Citizenship, Green Card Hold, or Permanent Residency is required for this role.*

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a team we have successfully supported for a few years.

This is hands-on engineering position requiring the ability evaluate execution layer code.


Data Engineer IV

Position Summary

The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform strategy, and governance standards. This role shapes how data is collected, modeled, processed, secured, and consumed across all applications and business domains, ensuring the long-term scalability, reliability, and performance of the organization’s data ecosystem.

Principal Data Engineers drive large-scale modernization, lakehouse and warehouse architecture, MDM adoption, metadata automation, Delta Lake strategy, multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy, this role engages with Directors, senior architects, and cross-functional leaders to guide decisions that impact enterprise systems, analytics, compliance, and technology investments.

This position is both strategic and hands-on when needed—solving the hardest technical problems, creating reusable frameworks, and mentoring senior engineers to elevate overall data engineering maturity across the enterprise.

Essential Functions:

  • Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers.
  • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains.
  • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations.
  • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams.
  • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups.
  • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues.
  • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform.
  • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy.·
  • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities.
  • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Basic Qualifications:

  • Bachelor’s degree in CS/IT/Data Science or equivalent experience (Master’s preferred).
  • 10+ years experience in data engineering, data architecture, or distributed systems engineering.
  • Proven track record designing and implementing enterprise-scale data platforms with Lakehouse/Delta architectures.
  • Expert-level proficiency with SQL, Spark, Python, Databricks, Delta Lake, Azure Data Factory, and distributed processing.
  • Deep understanding of data modeling (conceptual, logical, physical), governance frameworks, MDM, metadata catalogs, and lineage systems.
  • Experience leading multi-team engineering initiatives and influencing architectural decisions at the leadership level.
  • Strong grounding in security, compliance, data privacy, and regulatory data handling.

Requirements:
None