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Remote Healthcare Data Engineer Jobs in Tulsa, OK

Senior Data Engineer

Tulsa, OK ยท Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... a fully remote environment. Preferred Qualifications * Experience with healthcare claims ...

Senior Data Engineer

Tulsa, OK ยท Remote

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... a fully remote environment. Preferred Qualifications * Experience with healthcare claims ...

Engineer II (ILI Data Analysis)

Tulsa, OK ยท On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday ... Job Profile Summary The ILI Engineer II is responsible for analyzing and validating ILI data in ...

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

IT Developer

Tulsa, OK ยท Remote

$80/hr

Hybrid - onsite and remote Hours: 40.0 Security Clearance: Not specified Overview We have an ... Work on ETL Projects for the Enterprise Data Solutions team, ingesting data from multiple sources.

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Showing results 1-20

Remote Healthcare Data Engineer information

See Tulsa, OK salary details

$40.6K

$118.5K

$162.1K

How much do remote healthcare data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote healthcare data engineer in Tulsa, OK is $118,479.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $125,600.00 per year, depending on experience, location, and employer.

What does a remote healthcare data engineer do?

A Remote Healthcare Data Engineer designs, builds, and maintains data systems that collect, store, and process healthcare data, all while working from a remote location. They ensure that large volumes of medical records, patient information, and other healthcare-related data are organized and secure. Their work supports healthcare providers and researchers in making data-driven decisions, improving patient outcomes, and ensuring compliance with privacy regulations. Remote Healthcare Data Engineers often collaborate with data scientists, analysts, and IT teams to create efficient and scalable data pipelines tailored to the unique needs of healthcare organizations.

What skills and qualifications are needed to thrive as a remote healthcare data engineer?

To thrive as a Remote Healthcare Data Engineer, you need expertise in data architecture, database management, and healthcare data standards, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (e.g., AWS or Azure), and knowledge of healthcare-specific systems such as HL7 or FHIR is crucial. Strong problem-solving skills, attention to detail, and effective remote communication are standout soft skills in this role. These competencies ensure secure, accurate handling of sensitive health information and support effective data-driven decisions in healthcare organizations.

How does a remote healthcare data engineer collaborate with clinical and IT teams to ensure data accuracy and security?

Remote Healthcare Data Engineers frequently work cross-functionally with clinical staff, IT professionals, and data analysts to design, implement, and maintain secure data pipelines. They participate in virtual meetings to understand data requirements, clarify data definitions, and ensure compliance with healthcare regulations such as HIPAA. Collaboration tools and secure communication platforms are essential to share updates, resolve issues, and document workflows. This teamwork helps ensure that data is accurate, accessible, and protected, ultimately supporting improved patient outcomes and operational efficiency.

What is the difference between Remote Healthcare Data Engineer vs Remote Healthcare Data Analyst?

AspectRemote Healthcare Data EngineerRemote Healthcare Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization
Work EnvironmentDevelops data infrastructure, manages pipelines, collaborates with engineersInterprets data, creates reports, supports decision-making
Industry UsageDesigns data systems for healthcare organizations, research institutionsAnalyzes healthcare data for insights, reporting, and compliance
Common Search/ComparisonOften compared for technical roles in healthcare data managementRelated but focuses on analysis rather than infrastructure

The main difference is that Remote Healthcare Data Engineers build and maintain data systems and pipelines, while Remote Healthcare Data Analysts interpret data and generate reports. Both roles require healthcare industry knowledge, but engineers focus on data infrastructure, whereas analysts focus on data insights.

What are popular job titles related to Remote Healthcare Data Engineer jobs in Tulsa, OK?

For Remote Healthcare Data Engineer jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Remote Healthcare Data Engineer jobs in Tulsa, OK look for?

The top searched job categories for Remote Healthcare Data Engineer jobs in Tulsa, OK are:

What cities near Tulsa, OK are hiring for Remote Healthcare Data Engineer jobs?

Cities near Tulsa, OK with the most Remote Healthcare Data Engineer job openings:

Senior Data Engineer

SmartLight Analytics

Tulsa, OK โ€ข Remote

$108K - $147K/yr

Full-time

Re-posted 20 days ago


Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization’s BI and reporting tool.
Required Skills and Qualifications
  • Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.
 

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