Azure Data Engineer with Databricks & Snowflake

• 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.