Job Title: Azure Data Engineer with Databricks & Snowflake
Location: US Remote
Work Arrangement: Remote
Employment Type: Contract
Duration: 12+ Months
Domain: Healthcare & Life Sciences - Data Engineering
Pay Rate: $49.00/hr W2 | $60.00/hr C2C
Application Deadline: August 24, 2026
SKILLS REQUIRED
Primary (Must-Have):
• Python / PySpark | Strong SQL
• Microsoft Fabric / Azure Data Factory / Snowflake / Databricks / Synapse | REST APIs & JSON
Secondary (Good to Have):
• Dell Boomi | Healthcare Data Exposure (FHIR, HL7, EDI) | Dynamics 365 / Dataverse
POSITION OVERVIEW
Seeking an experienced Data Engineer within the Data Engineering Department reporting to the Director of Data Architecture to develop scalable ETL/ELT pipelines across clinical, claims, and operational systems. This role solves complex integration and medallion architecture challenges to ensure high-performance data ingestion and reliability for healthcare analytics.
ROLES & RESPONSIBILITIES
• Develop data ingestion pipelines from APIs, SFTP feeds, Snowflake, and flat files utilizing Python, PySpark, and SQL within a medallion architecture.
• Build and maintain robust ETL/ELT workflows across clinical, claims, and operational systems using Azure cloud services, Azure Data Factory, or Databricks.
• Consume REST APIs and parse complex JSON payloads while integrating diverse data sources into modern cloud data platforms.
• Utilize Git-based version control and CI/CD pipelines in Azure DevOps for code reviews, pull requests, and automated deployment of data pipelines.
• Partner with US-based teams, participate in daily standups, and deliver Power BI semantic models supporting enterprise reporting.
BENEFITS
Medical | Dental | Vision | 401(k)
EEOC Compliance:
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.
DISCLAIMER
AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.
