Mid Level Medical Data Analyst Jobs
Mid level medical data analyst jobs go to analysts ready to own end-to-end data projects, guide junior teammates, and deliver insights that shape clinical or operational decisions without constant oversight. 14% of openings are remote or hybrid, with roles concentrated across Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing and employers like Deloitte, Capital One, and 4P Consulting hiring at this level now.
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The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.Overview
Humana is seeking a Senior Forward Deployed Engineer to support our mission of improving the health and well-being of our consumers. This role will focus on building scalable, secure, data & analytics solutions that power analytics, clinical insights, and business decision-making across the enterprise. As a Forward Deployed Engineer, this individual will work directly alongside business and analytics stakeholders, translating real-world problems into working solutions quickly and driving adoption across the enterprise. The ideal candidate will have strong experience with cloud-based data platforms, Databricks, PostgreSQL, and healthcare data, with a passion for delivering high-quality, trusted data solutions in a regulated environment.
Key Responsibilities
Data & ML Engineering
- Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services
- Build and optimize ETL/ELT workflows for ingesting structured and unstructured healthcare data (claims, clinical, provider, and consumer data)
- Develop and maintain data models in enterprise data warehouses
- Support Lakehouse architecture leveraging Databricks, Delta Lake, and cloud storage
Advanced Data Processing
- Build real-time and batch pipelines for analytics and operational use cases
- Develop data transformations using PySpark and SQL within Databricks
- Integrate data from APIs, third-party vendors, and internal systems
AI & Advanced Analytics (Databricks Genie)
- Leverage Databricks Genie (AI/BI capabilities) to enable natural language querying and democratize data access for business stakeholders
- Design and optimize semantic layers and governed datasets that power Genie-driven insights with trusted, high-quality data
- Collaborate with stakeholders to translate business questions into AI-assisted analytics workflows using Databricks
- Ensure AI outputs are accurate, explainable, and compliant with healthcare data governance and HIPAA requirements
Technical Leadership
- Lead design and architecture discussions for enterprise scale solutions
- Establish and enforce best practices in data & ML engineering, testing, and CI/CD
Collaboration & Customer-Facing Delivery
- Serve as the embedded, customer-facing engineer for assigned business or analytical teams, working directly with end users, to understand existing capabilities & workflows, pain points, and success criteria
- Lead requirements discovery end-to-end: run working sessions and discovery workshops, translate ambiguous, evolving business problems into concrete technical specifications and delivery plans
- Rapidly prototype, configure, and demo solutions to stakeholders to validate direction early and de-risk larger investments
- Act as a trusted technical advisor to business and clinical stakeholders, balancing engineering rigor with pragmatic, fast-turnaround delivery to accelerate time-to-value and drive adoption of new tools and datasets
- Drive post-launch adoption by training end users, gathering hands-on usage feedback, and iterating quickly on delivered solutions in response to that feedback
- Blend engineering, product discovery, and solution delivery skills, partnering with product, UX, and business SMEs to identify and ship solutions rapidly
Healthcare Data & Compliance
- Work with healthcare datasets, including producer/agent, broker, commission, and distribution data, ensuring proper ingestion, normalization, and optimization for analytics and reporting
- Ensure compliance with HIPAA, HITECH, and enterprise data governance policies
- Implement data security, encryption, masking, and access controls
- Maintain data lineage, auditability, and regulatory reporting readiness
Use your skills to make an impact
Required Qualifications
- Bachelor's in Computer Science, Engineering, or related field
- 5+ years of experience in building cloud-native Data & ML engineering solutions
- 5+ years of programming experience in Python (PySpark) and SQL
- 3+ years of experience in deploying data & feature pipelines, model training, and inferencing within the Databricks stack
-
3+ years of hands-on experience with:
- Databricks
- PostgreSQL
- Distributed data processing frameworks (Apache Spark)
- Databricks ML stack including MLflow, Databricks Notebook, Runtime ML, etc.
- Demonstrated ability to communicate technical concepts clearly to non-technical business and clinical stakeholders, and to rapidly translate ambiguous, in-the-field requirements into a working solution
Preferred Qualifications
- Experience in healthcare or insurance industry (payer experience strongly preferred)
- Familiarity with healthcare standards (e.g., FHIR, HL7)
- Prior experience in a customer-facing, consulting, solutions engineering, or forward-deployed engineering role, engaging directly with end users to gather requirements, run demos, and deliver solutions on tight timelines
- Experience with:
- Delta Lake / Lakehouse architecture
- Orchestration tools (Airflow, Azure Data Factory)
- Streaming (Kafka, Event Hubs)
- Knowledge of DevOps and CI/CD pipelines (Azure DevOps, GitHub Actions)
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Become a part of our caring community
The Senior Data Engineer Designs, builds, and maintains data processing architectures and solutions enabling the efficient conversion of structured and unstructured data to insights at enterprise scale. The Senior Data Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.Overview
Humana is seeking a Senior Forward Deployed Engineer to support our mission of improving the health and well-being of our consumers. This role will focus on building scalable, secure, data & analytics solutions that power analytics, clinical insights, and business decision-making across the enterprise. As a Forward Deployed Engineer, this individual will work directly alongside business and analytics stakeholders, translating real-world problems into working solutions quickly and driving adoption across the enterprise. The ideal candidate will have strong experience with cloud-based data platforms, Databricks, PostgreSQL, and healthcare data, with a passion for delivering high-quality, trusted data solutions in a regulated environment.
Key Responsibilities
Data & ML Engineering
- Develop scalable and cost-efficient Data & ML solutions using Databricks (Spark) and cloud-native services
- Build and optimize ETL/ELT workflows for ingesting structured and unstructured healthcare data (claims, clinical, provider, and consumer data)
- Develop and maintain data models in enterprise data warehouses
- Support Lakehouse architecture leveraging Databricks, Delta Lake, and cloud storage
Advanced Data Processing
- Build real-time and batch pipelines for analytics and operational use cases
- Develop data transformations using PySpark and SQL within Databricks
- Integrate data from APIs, third-party vendors, and internal systems
AI & Advanced Analytics (Databricks Genie)
- Leverage Databricks Genie (AI/BI capabilities) to enable natural language querying and democratize data access for business stakeholders
- Design and optimize semantic layers and governed datasets that power Genie-driven insights with trusted, high-quality data
- Collaborate with stakeholders to translate business questions into AI-assisted analytics workflows using Databricks
- Ensure AI outputs are accurate, explainable, and compliant with healthcare data governance and HIPAA requirements
Technical Leadership
- Lead design and architecture discussions for enterprise scale solutions
- Establish and enforce best practices in data & ML engineering, testing, and CI/CD
Collaboration & Customer-Facing Delivery
- Serve as the embedded, customer-facing engineer for assigned business or analytical teams, working directly with end users, to understand existing capabilities & workflows, pain points, and success criteria
- Lead requirements discovery end-to-end: run working sessions and discovery workshops, translate ambiguous, evolving business problems into concrete technical specifications and delivery plans
- Rapidly prototype, configure, and demo solutions to stakeholders to validate direction early and de-risk larger investments
- Act as a trusted technical advisor to business and clinical stakeholders, balancing engineering rigor with pragmatic, fast-turnaround delivery to accelerate time-to-value and drive adoption of new tools and datasets
- Drive post-launch adoption by training end users, gathering hands-on usage feedback, and iterating quickly on delivered solutions in response to that feedback
- Blend engineering, product discovery, and solution delivery skills, partnering with product, UX, and business SMEs to identify and ship solutions rapidly
Healthcare Data & Compliance
- Work with healthcare datasets, including producer/agent, broker, commission, and distribution data, ensuring proper ingestion, normalization, and optimization for analytics and reporting
- Ensure compliance with HIPAA, HITECH, and enterprise data governance policies
- Implement data security, encryption, masking, and access controls
- Maintain data lineage, auditability, and regulatory reporting readiness
Use your skills to make an impact
Required Qualifications
- Bachelor's in Computer Science, Engineering, or related field
- 5+ years of experience in building cloud-native Data & ML engineering solutions
- 5+ years of programming experience in Python (PySpark) and SQL
- 3+ years of experience in deploying data & feature pipelines, model training, and inferencing within the Databricks stack
-
3+ years of hands-on experience with:
- Databricks
- PostgreSQL
- Distributed data processing frameworks (Apache Spark)
- Databricks ML stack including MLflow, Databricks Notebook, Runtime ML, etc.
- Demonstrated ability to communicate technical concepts clearly to non-technical business and clinical stakeholders, and to rapidly translate ambiguous, in-the-field requirements into a working solution
Preferred Qualifications
- Experience in healthcare or insurance industry (payer experience strongly preferred)
- Familiarity with healthcare standards (e.g., FHIR, HL7)
- Prior experience in a customer-facing, consulting, solutions engineering, or forward-deployed engineering role, engaging directly with end users to gather requirements, run demos, and deliver solutions on tight timelines
- Experience with:
- Delta Lake / Lakehouse architecture
- Orchestration tools (Airflow, Azure Data Factory)
- Streaming (Kafka, Event Hubs)
- Knowledge of DevOps and CI/CD pipelines (Azure DevOps, GitHub Actions)
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
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Find JobsMid Level Medical Data Analyst Job Market
Who's Hiring
- Deloitte20
- Capital One6
- 4P Consulting4
- Amazon Web Services2
- Freedom Technology Solutions Group2
Top Industries Hiring
- Consulting & Professional Services21
- Investment & Asset Management20
- Accounting & Auditing19
- Technology & Software12
- Distribution & Wholesale4
Mid Level Medical Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level medical data analyst job?
Position yourself around ownership, not just execution. Highlight projects where you led the analysis from data pull to stakeholder presentation, tools you've mastered independently, and decisions your work directly influenced. Mid level hiring managers want to see that you can run a project without close supervision, so concrete examples of scope and impact carry more weight than credentials alone.
Which companies hire mid level medical data analysts?
Companies hiring mid level medical data analysts right now include Deloitte, Capital One, and 4P Consulting, based on current listings on Migrate Mate as of November 2026. At this level, you'll find openings across health systems, insurance carriers, pharmaceutical companies, and healthcare technology firms, all of which need analysts who can work with minimal supervision.
Are there remote mid level medical data analyst jobs?
Yes, though availability varies by employer and role type. About 14% of mid level medical data analyst openings are remote or hybrid as of November 2026, reflecting strong demand from health tech companies and insurers who operate nationally and don't require on-site presence for data work.
How do I move up to a mid level medical data analyst role?
The move from entry to mid level comes from depth and demonstrated ownership over time. Focus on building fluency in SQL, Python, or R alongside healthcare-specific tools like EMR systems or claims data platforms. Take on projects where you own the full analysis cycle, document measurable outcomes, and show you can communicate findings to both technical and clinical stakeholders independently.
Which industries hire the most mid level medical data analysts?
Mid Level medical data analyst roles concentrate in Consulting & Professional Services, Investment & Asset Management, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors generate large volumes of patient, claims, and operational data that require experienced analysts capable of translating complex datasets into actionable insights without close supervision.