ZipRecruiter

Log In

2

Remote Data Engineer Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Seattle, WA · Remote

$117K - $140K/yr

Remote JD: Key Responsibilities • Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse, warehouse, sql) and Azure Data Factory. • Build and maintain a ...

Graham Technologies

Data Engineer

Upper Marlboro, MD · Remote

$117K - $140K/yr

Remote Key Responsibilities: * Collaborate with customer data practitioners and IT staff to develop ... Minimum 7+ years of experience in data engineering, cloud infrastructure, or enterprise data ...

InstantServe LLC

Azure Data Engineer

$117K - $140K/yr

Remote We are seeking an experienced Azure Data Engineer to design, build, and maintain scalable data solutions in Azure. The role involves working with data pipelines, data warehouses, and cloud ...

nimble

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable ...

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data Engineer to join our Data Engineering ...

Sparks Group

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Data Engineer (AI & Cloud Platforms) We are seeking a Data Engineer to support the design ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

VivSoft Technologies LLC

Data Engineer

Herndon, VA · On-site +1

$117K - $141K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

VivSoft Technologies

Data Engineer

Herndon, VA · Remote

$117K - $140K/yr

Data Engineer Location: Remote, USA Clearance: Top-Secret Type: Full-time, W2 About VivSoft We are a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and ...

Surgery Partners

Data Engineer - Hybrid / Remote

Brentwood, TN · On-site +1

$108K - $130K/yr

Data Engineer - Hybrid / Remote Opportunity * Hybrid for candidates in Nashville and surrounding areas. * Remote option available for candidates outside of surrounding areas. This role requires a ...

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable ... Flexible work environment and remote work options. Join us and be part of a team building ...

Ascent

Data Engineer

$117K - $140K/yr

Enjoy a flexible blend of remote and on-site work * Contribute to Accelerators: Help evolve Ascent ... Data Engineering architecture. Building up blueprints and guides when implementing solutions. Where ...

Lorven Technologies

Data Engineer - Remote

Dallas, TX · On-site +1

$105K - $126K/yr

Role: Data Engineer Location: Dallas, TX Duration: 12+ Months Contract * Bachelor's degree in Computer Science, Data Engineering, or a related field * 3+ years of experience in data engineering ...

Williammary

$108K - $130K/yr

Remote Work - Virginia Primary Job Posting Location: William & Mary Summary: The Data Engineer is a junior level role that helps build and maintain the data pipelines that power William and Mary's ...

Nimble Solutions

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Job Type Full-time Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare ...

Redolent, Inc

Data Engineer

Bentonville, AR · On-site +1

$100K - $120K/yr

Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required skills - Spark, Cassandra, GCP, Kafka ( experience with data pipelines ) Description: Designs, develops, and implements Hadoop ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer Jobs

Remote Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do remote data engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote data engineer 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 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 cities are hiring for Remote Data Engineer jobs? Cities with the most Remote Data Engineer job openings:
What are the most commonly searched types of Data Engineer jobs? The most popular types of Data Engineer jobs are:
What states have the most Remote Data Engineer jobs? States with the most job openings for Remote Data Engineer jobs include:
What job categories do people searching Remote Data Engineer jobs look for? The top searched job categories for Remote Data Engineer jobs are:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in the United States as of June 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Cleared) - DoD Program - Remote

BizFirst

Leesburg, AL • Remote

$55 - $56/hr

Full-time

Posted 14 days ago

Job description

This is a remote position.

Summary:

· Job Title: Data Engineer (Cleared) - DoD Program

· Clearance: Active Top Secret (TS) clearance required to start; TS/SCI preferred

· Work Location Type: Remote (United States)

· Work Type: Contract; 1099 and Corp-to-Corp.

· Openings: 2



Data Engineer (Cleared) - DoD Program - Remote

BizFirst is assisting our client with recruiting two Data Engineers (Cleared) - Remote. These positions will support mission-critical systems for a program within the United States Department of Defense.

These roles are ideal for engineers with strong backend development fundamentals who can design, build, and maintain scalable data solutions in secure enterprise environments. The work will involve data integration, backend services, data pipelines, system modernization, and collaboration across cloud, DevOps, and application teams.

This is a fully remote opportunity supporting systems tied to national security, defense operations, and mission readiness.


What will you do

As a Data Engineer, you will design, develop, and maintain data pipelines, integrations, and backend services supporting DoD systems. You will focus on data processing, data movement, interoperability, performance, and secure solution delivery while supporting modernization, automated deployment, and cloud migration initiatives.


Responsibilities:

· Design, develop, and maintain data pipelines, integrations, and backend services supporting DoD systems.

· Work with structured and semi-structured data across secure enterprise environments.

· Build and optimize ETL/ELT processes, data workflows, and data movement solutions.

· Collaborate with backend, DevOps, cloud, and application teams to support scalable system architecture.

· Develop APIs, services, and integrations that support data access and system interoperability.

· Troubleshoot, debug, and optimize data processing and backend performance issues.

· Ensure data quality, reliability, security, and compliance with federal standards.

· Participate in full SDLC activities including requirements, design, development, testing, and deployment.

· Support modernization and cloud migration initiatives, including AWS, Azure, or GovCloud environments.

· Contribute to CI/CD pipelines, automation, and deployment processes where applicable.


Requirements:

· U.S. Citizen.

· Active Top Secret (TS) clearance required to start; TS/SCI or SCI eligibility preferred.

· 8+ years of professional experience in software engineering, data engineering, backend development, or related technical roles.

· Bachelors degree required

· Strong backend engineering fundamentals.

· Experience designing and building data pipelines, integrations, or data processing workflows.

· Strong SQL skills and experience working with relational databases such as PostgreSQL, Oracle, MySQL, or similar.

· Programming experience with one or more backend/data engineering languages such as Python, Java, Scala, or similar.

· Experience working with Git-based version control systems.

· Understanding of Agile/Scrum development practices.

· Ability to work independently in a remote, cleared technical environment.


Preferred Qualifications:

· TS/SCI clearance or SCI eligibility.

· Prior experience supporting DoD, federal, or national security programs.

· Experience with cloud platforms such as AWS, Azure, or GovCloud.

· Familiarity with data engineering tools and frameworks such as Spark, Airflow, Kafka, dbt, NiFi, or similar.

· Experience with Docker, Kubernetes, or containerized environments.

· Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or similar.

· Experience developing REST APIs, microservices, or backend services.

· Familiarity with federal cybersecurity frameworks such as NIST, FISMA, or related standards.

· Experience supporting system modernization, data migration, or cloud migration initiatives.


Work Authorization/ Clearance:

· U.S. Citizen; active Top Secret (TS) clearance required to start. TS/SCI or SCI eligibility preferred.


Schedule:

· Monday to Friday


Work Location:

· Remote (United States).