Avanciers
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer/Solution Architect in the healthcare domain, offering a long-term remote contract. Required skills include Azure Databricks mastery, advanced SQL, and data modeling. US healthcare expertise is preferred. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 9, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Quality #Security #Spark (Apache Spark) #FHIR (Fast Healthcare Interoperability Resources) #GIT #Data Architecture #SQL (Structured Query Language) #Data Modeling #Compliance #Metadata #Data Lineage #Azure #Data Pipeline #Data Profiling #Azure Databricks #Data Engineering #PySpark #Complex Queries #Azure DevOps #Databricks #Data Analysis #Delta Lake #Datasets #ML (Machine Learning) #AI (Artificial Intelligence) #ADF (Azure Data Factory) #Data Integrity #Data Governance #ADLS (Azure Data Lake Storage) #DevOps #Scala #DataOps #Azure Data Factory
Role description
Avanciers is seeking a highly skilled Senior Data Engineer /Solution Architect – Healthcare Domain to join our team for an exciting Long-term contract role with one of our esteemed Fortune 500 clients, based in US. This is a REMOTE role
Position: Senior Data Engineer /Solution Architect
Location: US (REMOTE)
Duration: Long Term Contract
Job Description:
Key Responsibilities
• Architecture & Solution Design: Define and implement scalable, cost-optimized end-to-end Lakehouse architectures using Azure Databricks, Delta Lake (Medallion pattern), ADF, and ADLS. Guide engineering teams on Spark optimization and pipeline design patterns.
• Data Analysis & Mapping: Lead complex data profiling and create rigorous Source-to-Target Mapping (STM) documents. Define canonical models, business rules, and dimensional schemas across healthcare domains (Claims, Member, Provider).
• Governance, Security & Compliance: Enforce data governance, quality SLAs, and metadata tracking using Unity Catalog or Purview. Ensure absolute architectural compliance with HIPAA, HITRUST, and RBAC standards.
• Engineering & Platform Alignment: Collaborate with Data, Platform, and AI/ML engineering teams to standardize CI/CD, DataOps, and MLOps practices.
• Business Engagement: Act as the strategic bridge between business stakeholders, SMEs, and technical teams. Translate ambiguous intake requirements into technical blueprints and lead architecture reviews (ARB).
Technical & Domain Requirements
Required
• Azure Databricks Mastery: Deep hands-on experience with PySpark, Delta Lake, and Azure Data Factory (ADF).
• Advanced SQL: Expert-level capability in writing and optimizing complex queries for data validation and profiling.
• Data Modeling: Proven expertise in OLTP, OLAP, dimensional modeling, and semantic layer design.
• DevOps/DataOps: Strong experience with Git and Azure DevOps CI/CD pipelines.
Preferred
• US Healthcare Expertise: Deep understanding of healthcare data structures, financial coding standards, and use cases (Payment Integrity, Risk Adjustment).
• Advanced Standards: Familiarity with FHIR, HL7, and AI/ML data architectures (feature stores).
Key Success Metrics
• Velocity: Faster ingestion and onboarding of new healthcare datasets with minimal manual engineering effort.
• Data Integrity: High-quality, reconciled, and audited data pipelines with automated data quality SLAs.
Compliance: 100% adherence to HIPAA/HITRUST with transparent, end-to-end data lineage.
Avanciers is seeking a highly skilled Senior Data Engineer /Solution Architect – Healthcare Domain to join our team for an exciting Long-term contract role with one of our esteemed Fortune 500 clients, based in US. This is a REMOTE role
Position: Senior Data Engineer /Solution Architect
Location: US (REMOTE)
Duration: Long Term Contract
Job Description:
Key Responsibilities
• Architecture & Solution Design: Define and implement scalable, cost-optimized end-to-end Lakehouse architectures using Azure Databricks, Delta Lake (Medallion pattern), ADF, and ADLS. Guide engineering teams on Spark optimization and pipeline design patterns.
• Data Analysis & Mapping: Lead complex data profiling and create rigorous Source-to-Target Mapping (STM) documents. Define canonical models, business rules, and dimensional schemas across healthcare domains (Claims, Member, Provider).
• Governance, Security & Compliance: Enforce data governance, quality SLAs, and metadata tracking using Unity Catalog or Purview. Ensure absolute architectural compliance with HIPAA, HITRUST, and RBAC standards.
• Engineering & Platform Alignment: Collaborate with Data, Platform, and AI/ML engineering teams to standardize CI/CD, DataOps, and MLOps practices.
• Business Engagement: Act as the strategic bridge between business stakeholders, SMEs, and technical teams. Translate ambiguous intake requirements into technical blueprints and lead architecture reviews (ARB).
Technical & Domain Requirements
Required
• Azure Databricks Mastery: Deep hands-on experience with PySpark, Delta Lake, and Azure Data Factory (ADF).
• Advanced SQL: Expert-level capability in writing and optimizing complex queries for data validation and profiling.
• Data Modeling: Proven expertise in OLTP, OLAP, dimensional modeling, and semantic layer design.
• DevOps/DataOps: Strong experience with Git and Azure DevOps CI/CD pipelines.
Preferred
• US Healthcare Expertise: Deep understanding of healthcare data structures, financial coding standards, and use cases (Payment Integrity, Risk Adjustment).
• Advanced Standards: Familiarity with FHIR, HL7, and AI/ML data architectures (feature stores).
Key Success Metrics
• Velocity: Faster ingestion and onboarding of new healthcare datasets with minimal manual engineering effort.
• Data Integrity: High-quality, reconciled, and audited data pipelines with automated data quality SLAs.
Compliance: 100% adherence to HIPAA/HITRUST with transparent, end-to-end data lineage.
