Proterahealth

Data Engineer, Healthcare Claims (US Based)

Remote, United States · Remote · Posted today

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Salary
Not listed
Job type
Full-time
Work mode
Remote
Source
Ashby (employer's hiring system)

Skills mentioned

BigQuery, GCP, SQL, PostgreSQL, Data Engineering, Data Modeling, Terraform, Accounting

About the role

How Protera Health recruits:

  • All Protera Health recruiting comes from an @http://proterahealth.com email address.

  • We do not use any other domain. We will never ask you for payment, bank details, a Social Security number, or a copy of your ID before a written offer is made.

  • Interviews are scheduled through Google Meet, never through Microsoft Teams.

If you receive a message claiming to be from Protera Health from any other domain, do not reply and do not join the meeting. Forward it to care@proterahealth.com and we will confirm.

Protera Health

Data Engineer, Healthcare Claims (US Based)

About Protera Health

Protera Health is a fast-growing digital health company reimagining musculoskeletal care. Founded by orthopedic surgeons and value-based care experts, we combine technology, evidence-based clinical pathways, and personalized human care team support to help patients with back, neck, and joint conditions improve function, reduce pain, and live better lives.

Our multidisciplinary virtual care team includes medical providers, physical therapists, health coaches, and other healthcare professionals. Our aim is simple: treat patients as we would our own loved ones.

Position Summary

Protera Health is seeking a Data Engineer, Healthcare Claims for a 3-6 month contract engagement with potential for full-time extension focused on building the claims data infrastructure that supports our medical economics, actuarial analysis, client reporting, and value-based care programs.

Candidates must have significant hands-on experience transforming raw health plan medical claims data and enrollment files into reliable, normalized datasets that Protera can use to evaluate healthcare utilization, medical expenditures, savings, and financial performance.

You will be responsible for mapping partner-specific formats, fields, codes, and definitions into a standardized Protera claims model. The goal is to create a common reporting layer that supports consistent analysis across partners without rebuilding complex claims logic for every report.

This is a hands-on role. You will design the claims architecture, build production-ready pipelines and data models, validate the results, and perform claims analytics in Google BigQuery directly. You will work closely with Protera’s Chief Actuary and collaborate with our Technology, Finance, Clinical, and Operations teams.

Key Responsibilities

Claims Processing and Data Quality

  • Build reliable processes for ingesting and validating historical and incremental medical and pharmacy claims along with related enrollment files.

  • Process full data refreshes, recurring files, and retroactive claims activity accounting for adjusted, reversed and replacement claims

  • Reconcile incoming claims against previously processed data and investigate discrepancies.

  • Implement automated checks for completeness, duplicates, schema changes, unexpected volumes, financial reconciliation, and data freshness.

Claims Normalization and Data Modeling

  • Design a standardized claims data model that can support multiple health plans and employer partners.

  • Map partner-specific file structures, fields, values, and definitions into Protera’s common claims structure.

  • Connect claims with member eligibility, attribution, enrollment, provider, and clinical data.

  • Maintain reusable classification logic for ICD-10, CPT, HCPCS, DRG, revenue, place-of-service, and pharmacy codes.

  • Document source-to-target mappings, business rules, assumptions, data lineage, and partner-specific exceptions.

Medical Economics and Reporting

  • Translate actuarial and medical economics requirements into scalable datasets and reporting logic.

  • Apply Protera’s MSK inclusion and exclusion criteria consistently across health plan populations incorporating customer service type and exclusion criteria definitions.

  • Ensure reported results are traceable to source data and supported by clearly documented methodologies.

Cross-Functional Execution

  • Serve as a technical subject-matter expert for health plan claims and enrollment data.

  • Partner with Protera’s Chief Actuary to translate actuarial requirements into reliable technical solutions.

  • Collaborate with Protera’s data and operational teams on shared definitions for member identity, eligibility, attribution, and enrollment.

  • Explain complex claims methodologies and findings clearly to technical and nontechnical stakeholders.

  • Support the evaluation of claims data requirements for current and prospective health plan partnerships.

Required Qualifications

  • Bachelor’s degree in Computer Science, Health Informatics, Information Systems or a related technical discipline.

  • 7+ years of experience in healthcare claims data engineering supporting medical economics and actuarial departments.

  • Strong understanding of claims adjudication, including adjusted, replacement, reversed, denied, and voided claims.

  • Experience integrating claims with member eligibility, attribution, and enrollment data.

  • Knowledge of healthcare coding systems, including ICD-10, CPT, HCPCS, DRG, revenue, place-of-service, and pharmacy codes.

  • Experience with BigQuery, Google Cloud Platform, Cloud Storage, PostgreSQL, and Terraform.

  • Advanced SQL skills.

  • Experience designing and validating analytical data models for large healthcare datasets.

  • Ability to translate actuarial, financial, and reporting requirements into production-ready technical solutions.

  • Strong judgment, organization, communication, and problem-solving skills.

  • Comfortable working independently in a fast-moving environment where priorities and responsibilities evolve.

  • Hands-on, accountable, collaborative, and willing to personally investigate and resolve data problems.

Preferred Qualifications

  • Experience with musculoskeletal, orthopedic, rehabilitation, or pain-related claims analysis.

  • Experience developing episodes-of-care methodologies.

  • Experience supporting shared-savings, case-rate, bundled-payment, or full-risk contracts.

  • Background in digital health, healthcare analytics, or a risk-bearing provider organization.

Logistics

  • Engagement Type: Independent contractor.

  • Work Environment: Fully remote, requiring a private, professional workspace and reliable high-speed internet.

  • Engagement Length and Weekly Hours: To be determined based on the final scope of work.

  • Compensation: Hourly or project-based compensation based on experience and the final scope of the engagement.

  • Travel: Occasional travel may be required for company or project meetings.

  • Work Location: Must be located in and authorized to work in the United States.

Why Protera

  • Build the claims infrastructure that will shape how Protera measures and demonstrates its value.

  • Help create scalable systems for growing health plan and value-based care partnerships.

  • Work directly with experienced actuarial, clinical, operational, and technology leaders.

  • Take meaningful ownership of work that affects client relationships, financial performance, and patient care.

  • Work remotely from your home or another private, secured location.

  • Be part of a mission-driven company focused on delivering the care we would want for our own families.

Note: This description is intended as a guideline and may evolve based on organizational needs. The final scope, deliverables, timeline, compensation, confidentiality requirements, data-security obligations, and intellectual-property terms will be established in a written consulting agreement.

Protera Health is an equal opportunity organization. We encourage respect and harmony among team members and prohibit harassment or discrimination of any kind.

Job ID ab-proterahealth-d18d72ad-6b1a-4022-8720-bbd4e0834570 · Original posting ↗