Healthcare Data Engineer FHIR

  • Posted 6 hours ago | Updated 3 hours ago

Overview

Remote
Accepts corp to corp applications
Contract - long term

Skills

Scrum
Java
API
Microservice
DEV OPS
Data Integration
Kubernetes
Kafka
Containerization
Agile
Azure Devops
data conversion
Docker
finance
Data Pipelines
Problem-Solving
Mentoring
Real-Time

Job Details

Data Engineer
Remote

What is in it for you?

As a Data Engineer, you will be part of an Agile team focused on building healthcare applications and implementing new features while following the best coding and development standards.

Responsibilities

  • 10+ years of experience in data engineering roles

  • Strong hands-on experience with Python, PySpark, Spark SQL, JSON, XML

  • Expertise in processing EDI (837/835), HL7/CCDA, or FHIR bundles

  • Proven ability to work with cloud-native data platforms (preferably Oracle Cloud Infrastructure (OCI))

  • Experience designing and implementing data ingestion and transformation pipelines at scale

  • Skilled in building metadata-driven data pipelines

  • Solid understanding of data lineage, auditability, and governance

  • Experience with data pipeline orchestration

  • Knowledge of DataOps, Git, CI/CD pipelines, Terraform

  • Hands-on experience with Delta Lake, Parquet

  • Knowledge of data modeling, particularly healthcare CDMs

  • Familiarity with clinical terminologies (LOINC, SNOMED, ICD, CPT, RXNORM)

Experience

  • 10+ Years

Location

  • Remote

Educational Qualifications

  • Engineering Degree BE/ME/BTech/MTech/BSc/MSc

  • Technical certifications in multiple technologies are desirable

Mandatory Skills

  • Python, PySpark, Spark SQL, EDI, FHIR, Healthcare

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.