Remote Data Manager Jobs
Remote Data Manager jobs are open across the U.S. in sectors from healthcare and financial services to SaaS, e-commerce, and nonprofit organizations, at both remote-first companies and established enterprises running distributed teams. Roles range from entry-level data coordinator positions to senior data manager roles overseeing large-scale pipelines and governance programs, and employers hiring remotely right now include ABB, Speechify, and CVS Health. Find a role that fits below and apply directly.
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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.
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 Manager JobsRemote Data Manager Job Market
Who's Hiring
- ABB72
- Speechify64
- CVS Health64
- Alvarez & Marsal20
- Akumin18
Top Industries Hiring
- Technology & Software219
- Healthcare & Medical Services144
- Consulting & Professional Services102
- Manufacturing96
- Insurance55
What Employers Look For
The qualifications that appear most often in remote data manager jobs.
- Bachelor's degree in information management, computer science, or a related field
- Proficiency in SQL and at least one major database platform such as Oracle, SQL Server, or PostgreSQL
- Experience designing and enforcing data governance policies and data quality standards
- Familiarity with ETL tools and data pipeline management such as Informatica or Talend
- Strong understanding of data security, access controls, and regulatory compliance requirements
- Ability to translate business requirements into data architecture decisions for non-technical stakeholders
Tips for Your Remote Data Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote data manager openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through non-remote listings. Applying within the first few days of a posting going live increases your chances before the applicant pool grows.
Show async communication in your application
Remote data manager hiring panels look for candidates who write clearly and make decisions without constant back-and-forth. Include a brief, well-structured cover note that shows you can document your thinking, explain data findings in plain language, and move work forward independently.
Build a portfolio of documented data projects
Remote employers can't observe your day-to-day work, so your portfolio does the proving. Document at least two or three projects showing your data pipeline, governance approach, or quality improvement work, and make them readable to a non-technical hiring manager.
Target remote-first companies in your sector
Remote-first firms in healthcare data, SaaS, and fintech have built data infrastructure around distributed teams, which means clearer remote workflows and fewer expectations that you'll ever come on-site. Look for companies that post all roles as remote by default, not just a handful.
Prepare for remote-style technical interviews
Remote data manager interviews often include a take-home case study or async technical screen before any live call. Practice walking through a data quality problem or governance scenario in writing so your reasoning is clear without the benefit of whiteboard conversation.
Remote Data Manager Jobs: Frequently Asked Questions
How do I get a remote data manager job?
Target companies that already operate distributed teams, such as remote-first SaaS firms, digital health platforms, and cloud-native financial services companies, because they have established workflows for remote data roles. Remote employers screen heavily for self-direction, clear written communication, and proficiency with collaborative tools like Jira, Confluence, and cloud data platforms. Candidates who document their data governance work, demonstrate async decision-making, and show ownership of past data projects without close supervision stand out.
Which companies hire remote data managers?
Companies hiring remote data managers right now include ABB, Speechify, and CVS Health, based on current remote listings on Migrate Mate as of June 2026. Remote data manager roles are especially common at remote-first technology firms, distributed healthcare organizations, and enterprise software companies that manage large volumes of data across geographically spread teams.
Can you get a remote data manager job with no experience?
Yes, but remote entry-level data manager roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. Your best path is to target smaller remote-first startups and nonprofits, which hire junior data roles more openly. Showing a portfolio of personal or freelance data projects, familiarity with SQL and data quality tools, and strong written communication skills can offset a thin resume.
Do you need a degree for remote data manager jobs?
Not always. Many remote employers weigh demonstrated data skills, tool proficiency, and a track of real project outcomes more heavily than a specific credential. A bachelor's degree in a data-adjacent field is common in job postings, but candidates who can show hands-on experience with database management, data governance frameworks, and reporting pipelines frequently move past the screening stage without a four-year degree.
Which industries hire the most remote data managers?
Remote data manager roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of June 2026. Those sectors hire data managers remotely because their operations depend on large, constantly updated datasets managed by distributed teams who collaborate across time zones without a central office.
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