ZipRecruiter

Log In

2

Remote Data Engineering Jobs (NOW HIRING)

Software Technology Inc

REMOTE - Data Architect

$65.25 - $84/hr

Systems Engineer The Systems Engineer will design data model solutions and ensure alignment between business and IT strategies, operating models, guiding principles, and software development with a ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site +1

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

DivIHN

Senior Data Developer (Remote)

Remote Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be ... Required Qualifications * 7+ years of experience in data engineering, ETL development, or cloud ...

DSC Resources

Principal Data Engineering

Louisville, CO · Remote

$180K - $205K/yr

Remote Principal Software Engineer - Data Architecture and Engineering US-based only | No visa sponsorship | No third-party agencies We're seeking a Principal Engineer to establish data architecture ...

BECU

Director, Data Engineering

OR · On-site +1

$155K - $288K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our ... Build, mentor, and empower a high-performing team of data engineers and data professionals ...

Paylocity

Manager Engineering (Data Engineering)

This is a fully remote position, allowing you to work from home or location of record within the U ... Manager Engineering (Data Engineering) Position Overview This role manages a team of data engineers ...

Astrana Health, Inc.

$140K - $160K/yr

Data - Engineering Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $140,000 - $160,000 / year Description We are seeking a highly motivated ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · Remote

Director of Data Engineering We are seeking an experiencedDirector of Data Engineering responsible ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal ...

next page

Showing results 1-20

All JobsRemote Data Engineering Jobs

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 Jun 27, 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.

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 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

Data Engineer (Cleared) - DoD Program - Remote

BizFirst

Leesburg, AL • Remote

$55 - $56/hr

Full-time

Posted 25 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).