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Remote Data Engineering Jobs (NOW HIRING)

ROI Agency

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/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 ...

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 ...

Lovelytics

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... This role is open to remote candidates in the U.S. and Ontario, Canada. You're also welcome in any ...

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 ...

Jj

Manager Data Engineering

Raynham, MA · On-site +1

$118K - $142K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

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 ...

Jj

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Jj

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

West Chester, PA · On-site +1

$108K - $130K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Jj

Manager Data Engineering

Raritan, NJ · On-site +1

$117K - $140K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

New Brunswick, NJ · On-site +1

$118K - $141K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

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 ...

Jj

Manager Data Engineering

West Chester, PA · On-site +1

$108K - $130K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Jj

Manager Data Engineering

Palm Beach Gardens, FL · On-site +1

$108K - $130K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Johnson & Johnson

Manager Data Engineering

Raynham, MA · On-site +1

$118K - $142K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

Jj

Manager Data Engineering

Warsaw, IN · On-site +1

$110K - $132K/yr

Remote work may also be considered in certain situations. What's in it for you? As a Data Engineering Manager, you will play a pivotal role in shaping the data engineering strategy and technical ...

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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 Jul 29, 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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.

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.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 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. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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 July 2026, with employment types broken down into 70% Full Time, 6% Part Time, 6% Temporary, and 18% Contract. 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

$115K - $139K/yr

Full-time

Re-posted 6 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.

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