Remote Data Engineer Jobs
Remote Data Engineer jobs are available nationwide at employers like CVS Health, Speechify, and Alvarez & Marsal and other distributed teams, at every experience level. See the openings below and apply to the ones that match your experience.
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INTRODUCTION
Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
Optum Government Solutions (OGS) partners with federal and state agencies to modernize health and human services programs through data, analytics, and technology. OGS supports large scale Medicaid Enterprise Data Warehouse (EDW), analytics, and federal reporting programs that enable program integrity, regulatory compliance, and data driven decision making for state agencies.
Optum is seeking a hands on Senior Data Engineer (ETL / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining scalable data ingestion and transformation pipelines that support Medicaid analytics, federal reporting, and enterprise decision support.
The ideal candidate brings solid ETL and Python engineering expertise, Teradata experience as well as experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit sensitive environment. This is a delivery focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud based platforms.
You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
PRIMARY RESPONSIBILITIES:
- Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python based frameworks
- Build and optimize scalable data processing solutions using Python, Spark, and Databricks
- Support Medicaid analytics and federal reporting initiatives (e.g., T MSIS, PERM, MARS, Quality of Care)
- Develop robust data validation, reconciliation, and audit traceable data pipelines
- Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server
- Participate in cloud migration and modernization initiatives within Azure based architectures
- Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness
- Follow data engineering best practices for performance, reliability, reusability, and security
- Support production operations, incident resolution, and root cause analysis
- Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
REQUIRED QUALIFICATIONS:
- 5+ years of data engineering experience with a focus on enterprise data warehousing
- 5+ years of hands on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools
- 5+ years of Python development for data engineering and automation
- 5+ years of Teradata experience
- 3+ years of experience with Spark based processing frameworks (Databricks or equivalent)
- Solid SQL expertise and experience with relational databases (such as Snowflake, Oracle, SQL Server)
- Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD)
- Proven solid analytical, problem solving, and troubleshooting skills
- Ability to travel periodically based on project or customer needs
PREFERRED QUALIFICATIONS:
- Azure certifications related to data engineering or analytics
- Experience supporting State Medicaid EDW or MMIS analytics environments
- Healthcare or public sector analytics experience (Medicaid / Medicare preferred)
- Data modeling experience in enterprise data warehouse environments
- Scripting experience (PowerShell, Bash) for automation and orchestration
- Experience designing or consuming APIs (REST) within data platforms
- Familiarity with data quality frameworks, reconciliation, and audit support
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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Find Remote Data Engineer JobsRemote Data Engineer Job Market
Who's Hiring
- CVS Health89

- Speechify75

- Alvarez & Marsal26

- Humana16

- IT Labs15I
Top Industries Hiring
- Technology & Software227
- Healthcare & Medical Services144
- Consulting & Professional Services80
- Insurance41
- Investment & Asset Management28
What Employers Look For
The qualifications that appear most often in remote data engineer jobs.
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience with cloud data platforms like AWS, GCP, or Azure
- Experience building and maintaining ETL or ELT pipelines in production
- Familiarity with orchestration tools such as Apache Airflow or Prefect
- Bachelor's degree in computer science, engineering, or a related technical field
- Experience with columnar or distributed data warehouses such as Snowflake, BigQuery, or Redshift
Tips for Your Remote Data Engineer Job Search
Tailor your resume to the stack
Data engineer job descriptions vary significantly by stack. Rewrite your resume bullets to mirror the tools listed in each posting, whether that's Spark, dbt, Airflow, or Snowflake, so your experience reads as a direct match rather than a general fit.
Show pipeline work, not just queries
Hiring managers want to see that you build and maintain data infrastructure, not just consume it. Highlight projects where you designed ingestion workflows, handled schema evolution, or reduced pipeline latency, with specific outcomes wherever you can name them.
Apply early to roles that fit
Migrate Mate lists data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target companies by data maturity stage
A startup building its first warehouse and a Fortune 500 modernizing legacy ETL need very different skills. Read job descriptions for clues about data maturity, such as greenfield builds versus migrations, and lead your cover note with experience that matches that stage.
Prepare a systems design answer for the interview
Most data engineer interviews include at least one open-ended design question, like architecting a batch pipeline or a real-time event stream. Practice walking through trade-offs out loud, covering ingestion, transformation, storage, and orchestration choices, not just the final architecture.
Negotiate with competing offer context
If you hold more than one offer, share that fact during negotiation. Compensation for data engineers varies by specialization and cloud platform, so a competing offer in a similar stack gives you grounded leverage without needing to justify a number from scratch.
Remote Data Engineer Jobs: Frequently Asked Questions
How do I get a remote data engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote data engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote data engineers?
Companies hiring remote data engineers include CVS Health, Speechify, and Alvarez & Marsal, based on current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote data engineer roles.
Can you get a remote data engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote data engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote data engineer jobs?
Not always. Many employers hire remote data engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote data engineer roles.
Which industries hire the most remote data engineers?
Most remote data engineer openings sit in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire data engineers remotely most consistently.
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