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Remote Data Engineering Jobs (NOW HIRING)

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 ...

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 ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Director of Data Engineering We are seeking an experienced Director 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 ...

Franciscan Health

Manager Data Engineering

Work From Home Work From Home Work From Home, Indiana 46544 The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that ...

Life360

Director, Data Engineering (AI Native)

$216K - $318K/yr

Life360 is a Remote First company, which means a remote work environment will be the primary ... Data engineering at Life360 is a strategic partner, not a service org. You'll be embedded in ...

Noblesoft Technologies

Data Engineer

Minneapolis, MN · Remote

$117K - $140K/yr

... Location - Minneapolis, MN(Remote) Job Details: Candidate should be proficient in Data engineering skills : Data Bricks, ADF, Python, Pyspark, Azure services Data Engineer : Python, PySpark ...

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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 9, 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 72% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Manager - Data Engineering

Astrana Health, Inc.

Alhambra, CA • On-site, Remote

$140K - $160K/yr

Full-time

Re-posted 23 days ago

Job description

Description
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 candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:  
  • Put Patients First  
  • Empower Entrepreneurial Provider and Care Teams  
  • Operate with Integrity & Excellence  
  • Be Innovative  
  • Work As One Team  

What You'll Do
  • Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. 
  • Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. 
  • Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. 
  • Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. 
  • Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery. 
  • Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements. 
  • Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives. 
  • Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing. 

Qualifications
  • Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred. 
  • At least 5 years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. 
  • At least 2 years of experience with medical claims in healthcare and/or managed care. 
  • Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). 
  • Advanced proficiency with SQL and scripting/programming languages such as Python or Spark. 
  • Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts. 
  • Experience working with Databricks or similar distributed computing platforms preferred. 
  • Familiarity with BI tools such Power BI. 
  • Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing. 
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. 
You're a great fit for this role if you: 
  • Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges. 
  • Are passionate about mentoring and growing the next generation of data engineering talent. 
  • Have a bias for action and a commitment to delivering high-quality solutions with measurable impact. 
  • Bring a collaborative, team-first mindset to everything you do. 

Environmental Job Requirements and Working Conditions
  • This position is remotely based in the U.S. 
  • The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation. 
Additional Information: 
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.