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Data Engineer

• Posted 21 hours ago • Updated 1 hour ago

Contract Corp To Corp

ADDSOURCE

Fitment

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Job Details

Skills

Amazon Web Services
Microsoft Azure
PySpark
automation
data Processing
GDPR
Data Architecture
architecture
Apache Spark
data quality
interoperability
data modelling
Governance
airflow
Data Pipelines
Medical Records
SQL Databases
Computer Programming
Python (Programming Language)
Software Debugging
Scalability
Health Care
Extract Transform Load (ETL)
Medical Billing and Coding
Clinical Data Repository
Clinical Works
Systematized Nomenclature of Medicine
Fast Healthcare Interoperability Resources
Health Insurance Portability and Accountability Act Compliance
Health Level Seven International
Insurance Claim Processing
Database Queries
Freeform SQL
ICD-10 Medical Classification
Data Lakehouse
Distributed Computing Environment
Health Informatics
Privacy Law
Workflow Management Systems

Summary

Job Title: Senior Data Engineer (Healthcare & Interoperability)- REMOTE USA

Role Overview

We are seeking a highly skilled Data Engineer with a deep specialization in the Healthcare domain. The ideal candidate will be responsible for building and maintaining robust data pipelines that handle sensitive medical data using Medallion Architecture. You will bridge the gap between raw clinical data (HL7/FHIR) and actionable insights, ensuring high performance, scalability, and strict compliance.

Key Responsibilities

Pipeline Development: Design and implement end-to-end ETL/ELT pipelines using Python and Spark to process large-scale healthcare datasets.
Healthcare Interoperability: Lead the ingestion and transformation of clinical data standards, specifically HL7 (v2/v3) and FHIR (Fast Healthcare Interoperability Resources).
Architecture Management: Implement and optimize a Medallion Architecture (Bronze, Silver, Gold layers) to ensure data quality, lineage, and governance.
Data Modeling: Create complex SQL queries and data models optimized for healthcare analytics, ensuring consistency across clinical and claims data.
Optimization: Performance tune Spark jobs and SQL queries to handle high-velocity healthcare data streams efficiently.

Mandatory Qualifications & Skills

Domain Expertise: Minimum 10 years of experience specifically within the Healthcare industry (Payer, Provider, or Health Tech).
Interoperability Standards: Hands-on experience working with HL7 and FHIR is a must-have. Candidates must understand resources, profiles, and bundles.
Technical Core:
- Spark: Advanced proficiency in PySpark for distributed data processing.
- Python: Strong programming skills for data manipulation and automation.
- SQL: Expert-level ability to write, debug, and optimize complex queries.
Data Architecture: Proven experience implementing Medallion Architecture (Data Lakehouse patterns).

Preferred Qualifications

Experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
Familiarity with healthcare privacy regulations (HIPAA, GDPR, or HITRUST).
Experience with workflow orchestration tools like Airflow or Dagster.
Knowledge of medical coding systems (ICD-10, LOINC, SNOMED).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91122967
Position Id: 2026-4267
Posted 21 hours ago

Company Info

About ADDSOURCE

AddSource is a premier staffing and workforce solutions partner headquartered in Delaware, USA, with operations in Alberta, Canada under the brand name AddSource.

We specialize in connecting top-tier talent with leading organizations across diverse industry sectors.

With a strong commitment to excellence, our mission is to deliver innovative, customized staffing solutions that empower clients to achieve their goals while helping candidates advance their careers.

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