Remote Healthcare Data Analyst Jobs
Remote Healthcare Data Analyst jobs are open across the U.S. in health insurance, hospital systems, digital health, and health IT consulting, with distributed teams at companies like Zeta Global, Guidehouse, and Tiger Analytics actively hiring from entry-level to senior roles. Find a role that fits below and apply directly.
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Position Summary
The Senior Data Engineer / Healthcare Lakehouse Architect is a senior technical contributor responsible for implementing, optimizing, and supporting Cibolo Health's enterprise healthcare data platform and cloud-based lakehouse architecture.
Working under the strategic direction of Cibolo Health's data and analytics leadership, this role provides deep technical expertise in healthcare data engineering, cloud architecture, interoperability, and enterprise data integration across Clinical Integration Networks (CINs), Accountable Care Organizations (ACOs), rural hospitals, payers, health information exchanges, and implementation partners.
The Senior Data Engineer partners closely with leadership to translate enterprise data strategy into scalable technical solutions by developing cloud infrastructure, healthcare data pipelines, interoperability frameworks, governance capabilities, and analytics-ready data assets that support population health, quality improvement, value-based care, and enterprise reporting.
Essential Duties and Responsibilities
Lakehouse Platform Engineering
- Design, implement, and optimize technical components of Cibolo Health's enterprise healthcare lakehouse platform in alignment with organizational strategy.
- Develop scalable data pipelines, ingestion frameworks, transformation processes, and orchestration workflows.
- Build and maintain Databricks, Delta Lake, and AWS-based solutions that support enterprise reporting and analytics.
- Continuously improve platform performance, reliability, scalability, and cost efficiency.
Healthcare Data Integration
- Implement integrations with EHRs, HIEs, payers, laboratories, remote patient monitoring platforms, and third-party vendors.
- Develop and maintain pipelines supporting HL7, FHIR, CCD/CCDA, ADT, claims, and quality reporting data.
- Collaborate with implementation partners to ensure reliable, high-quality data integration.
Architecture & Technical Standards
- Recommend technical architecture improvements and engineering best practices.
- Support metadata management, data cataloging, monitoring, and platform documentation.
- Collaborate with leadership to implement enterprise data governance and interoperability standards.
Security & Compliance
- Implement secure engineering practices that support HIPAA and organizational security requirements.
- Support HITRUST, SOC 2, audit, and compliance initiatives through secure platform design and documentation.
- Maintain appropriate data access controls, monitoring, and technical safeguards.
Collaboration & Technical Leadership
- Serve as the primary technical engineering resource for lakehouse implementation activities.
- Partner with Data & Analytics leadership, project leadership, implementation partners, and vendors to execute technical workstreams.
- Provide technical guidance during implementation, testing, troubleshooting, optimization, and production support.
- Mentor future engineers and contribute to development of engineering standards as the team grows.
Qualifications
Education and Experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (Master's preferred).
- Minimum of seven (7) years of healthcare data engineering, interoperability, enterprise analytics, or platform architecture experience.
- Demonstrated experience implementing modern cloud-based healthcare data platforms.
- Experience supporting complex healthcare environments involving multiple organizations, vendors, and stakeholders.
Technical Qualifications
- Advanced SQL and Python
- Databricks, Apache Spark, and Delta Lake
- AWS cloud services
- HL7, FHIR, CCD/CCDA
- Healthcare claims, clinical, and ADT datasets
- Healthcare interoperability and data governance
- CI/CD, DevOps, and infrastructure automation preferred
HIPAA Responsibilities
- Protect PHI in accordance with HIPAA Privacy and Security Rules.
- Access, use, and disclose PHI only as permitted by organizational policy.
- Implement and maintain appropriate technical safeguards for healthcare data.
- Support organizational security and compliance initiatives.
Pay: $170,000.00 - $185,000.00 per year
Experience:
- healthcare data engineering/analytics/platform architecture: 7 years (Preferred)
Work Location: Remote
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Find JobsRemote Healthcare Data Analyst Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
What Employers Look For
The qualifications that appear most often in remote healthcare data analyst jobs.
- Proficiency in SQL for querying relational databases and clinical data warehouses
- Experience with data visualization tools such as Tableau, Power BI, or Qlik
- Familiarity with EHR systems including Epic, Cerner, or Meditech
- Bachelor's degree in health informatics, statistics, computer science, or a related field
- Knowledge of healthcare terminology, ICD-10 coding, and claims data structures
- Experience with Python or R for data manipulation and statistical analysis
Tips for Your Remote Healthcare Data Analyst Job Search
Show async work output in your portfolio
Remote healthcare data analyst hiring managers want proof you can deliver without daily check-ins. Include documented analyses, annotated SQL queries, or written summaries of findings from claims or EHR data that a reviewer can evaluate on their own time.
Apply early to remote roles that fit
Migrate Mate lists remote healthcare data analyst openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Sharpen written communication for distributed teams
Remote health data teams communicate through written updates, not hallway conversations. Practice writing concise, structured summaries of your analytical findings, because remote employers screen for written clarity as seriously as technical skills in this role.
Target companies with distributed data teams
Health insurers, digital health platforms, and health IT consulting firms maintain permanent distributed analyst teams, making them more likely to have stable remote infrastructure and async workflows compared to hospital systems piloting remote work for the first time.
Remote Healthcare Data Analyst Jobs: Frequently Asked Questions
How do I get a remote healthcare data analyst job?
Remote healthcare data analyst roles go to candidates who can demonstrate self-direction and clear written communication alongside technical skills, because distributed teams can't rely on in-person oversight. Health insurers, digital health platforms, and health IT vendors are the most active remote hirers. Strong SQL, working knowledge of claims or EHR data, and experience documenting your analysis process for async review all give you a real edge.
Which companies hire remote healthcare data analysts?
Companies hiring remote healthcare data analysts right now include Zeta Global, Guidehouse, and Tiger Analytics, based on current remote listings on Migrate Mate as of August 2026. Remote-first health insurers, digital health startups, and distributed health IT consulting firms make up the largest share of remote openings in this role.
Can you get a remote healthcare data analyst job with no experience?
Yes, but remote entry roles are harder to land because employers expect you to work independently from day one. Digital health startups and smaller health IT firms are more open to junior remote hires than large hospital systems. A portfolio showing claims data cleaning, EHR analysis, or a public health dataset project signals you can produce results without hand-holding, which is what remote hiring managers look for.
Do you need a degree for remote healthcare data analyst jobs?
Not always. Many remote employers weigh demonstrated skills in SQL, Python, and healthcare data systems over a specific degree, particularly at health tech companies and digital health platforms. A portfolio of real analysis work using claims, clinical, or public health data carries weight, and certifications in health informatics or data analytics can reinforce your technical credibility when you don't have a traditional four-year background.
Which industries hire the most remote healthcare data analysts?
Most remote healthcare data analyst openings sit in Technology & Software and Healthcare & Medical Services, per current remote listings on Migrate Mate as of August 2026. These sectors rely on distributed analyst teams to process high volumes of claims, clinical, and operational data across geographically spread organizations.
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