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Hire Dedicated Clinical Data Engineers in the USA

A clinical data engineer is not a generic data engineer with HIPAA training. The healthcare data stack — FHIR R4, HL7 v2, OMOP CDM, OHDSI, de-identification pipelines, and the bidirectional flow between EHRs and analytics warehouses — is its own discipline. Generic data engineers spend their first six months learning what FHIR _revinclude means before they ship anything useful.

Taction Software’s clinical data engineers have built FHIR-first data lakes, OMOP CDM warehouses, real-world evidence pipelines, and analytics platforms for hospital systems, payers, CROs, and digital health companies. Every engineer has worked under a BAA on PHI-bearing data. Engagements start at $8,000 per engineer per month with a 14-day onboarding window and a Business Associate Agreement signed before any PHI touches our systems.

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Trusted Partners

Trusted by Industry Leaders Worldwide

Industries and Use Cases We Have Delivered

Hospital systems — clinical data lakes for analytics and AI
Payers — claims and clinical data unified warehouses
CROs and pharma — RWE pipelines and OMOP CDM warehouses
Digital health — FHIR-first analytics for product and operations
Recognition

Awards & Recognitions

Clutch AI Award
Top Clutch Developers
Top Software Developers
Top Staff Augmentation Company
Clutch Verified
Clutch Profile

Why Clinical Data Engineering Is a Distinct Specialty

Featured

What We Screen For Before Placement

  • Production clinical data pipeline experience
  • FHIR R4 + HL7 v2 fluency
  • OMOP CDM or analogous research data model
  • HIPAA-grade engineering habits including de-identification

What a Taction Clinical Data Engineer Does on Day One

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Week One and Two Deliverables

  • Map your data sources, targets, and clinical semantics requirements
  • Stand up FHIR Bulk Data ingestion against your primary EHR
  • Implement initial transformation to your warehouse schema (OMOP, custom, or hybrid)
  • Wire de-identification at the appropriate stage
  • Wire data-lineage logging

Technologies Our Clinical Data Engineers Ship in Production

  1. 01

    Data Models

    • FHIR R4
    • HL7 v2.3, v2.5, v2.5.1
    • OMOP CDM v5.4
    • PCORnet
    • Sentinel CDM
    • Custom clinical schemas
  2. 02

    Pipeline Infrastructure

    • AWS HealthLake, Azure Health Data Services, Google Cloud Healthcare API
    • Snowflake, Databricks, BigQuery
    • dbt for clinical transformations
    • Airflow, Dagster, Prefect for orchestration
    • Spark and PySpark for large-scale clinical data
  3. 03

    Clinical Terminologies

    • SNOMED CT, LOINC, ICD-10-CM, ICD-10-PCS, CPT, HCPCS, RxNorm, NDC
  4. 04

    De-identification

    • HIPAA Safe Harbor de-identification
    • Expert Determination paths
    • Tokenization for re-identification with key escrow
    • k-anonymity, l-diversity, differential privacy

    For background, read about our healthcare data engineering service, the healthcare data warehouse solutions page, and our work on healthcare data lake architecture.

Engagement Models and Pricing for Clinical Data Engineers

  1. 01

    Dedicated Clinical Data Engineer

    $8,000 per engineer per month with a 3-month minimum.

  2. 02

    Clinical Data Pod

    $24,000 to $60,000 per month for a pod of 3 to 6 engineers including a lead architect.

HIPAA Compliance Baseline

  • BAA executed with all data subprocessors
  • De-identification patterns audited
  • Audit logging at the data-access layer
  • Encryption at rest with AES-256 and in transit with TLS 1.3

When to Hire a Clinical Data Engineer (and When Not To)

01

Use a Dedicated Clinical Data Engineer When

  • You are building a FHIR-first clinical data lake or warehouse
  • You are building an OMOP CDM research warehouse
  • You are running real-world evidence pipelines for pharma or regulators
  • You are consolidating clinical data across multiple EHR sources

The 14-Day Process

FAQs

Frequently Asked Questions About Hiring Clinical Data Engineers

$8,000 per engineer per month with a 3-month minimum.

14 days from discovery to engineer-on-team.

Yes. OMOP CDM v5.4 is part of the screening criteria. We have built OMOP warehouses for research and RWE use cases.

Yes. Both paths are standard work. We have shipped de-identification pipelines using regex, ML-based NER, tokenization, and k-anonymity.

Snowflake, Databricks, BigQuery, AWS HealthLake, Azure Health Data Services, Google Cloud Healthcare API.

Yes. Bidirectional warehouse-to-FHIR patterns are standard.

Yes. Every engagement begins with a BAA.

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What's Next?

Our expert reaches out shortly after receiving your request and analyzing your requirements.

If needed, we sign an NDA to protect your privacy.

We request additional information to better understand and analyze your project.

We schedule a call to discuss your project, goals. and priorities, and provide preliminary feedback.

If you're satisfied, we finalize the agreement and start your project.