Senior Data Engineer – Python ETL (Data Quality, Spark/Databricks)

Company: MSR Technology Group

Location: Location not specified (Remote)

Type: Contract

Remote: Yes

Posted: 2026-06-19

About this role

Senior Data Engineer – Python ETL (Data Quality, Spark/Databricks)

Remote - US Based

12+ Month Contract

*Not Open to Third Party Firms*

We are seeking a hands-on Senior Data Engineer (ETL / Python Developer) to support an enterprise data warehouse and analytics program within a regulated healthcare environment. This role focuses on designing, building, and modernizing large-scale data ingestion and transformation pipelines that support analytics, reporting, and compliance-driven data initiatives.

The ideal candidate has strong Python-based data engineering experience and deep exposure to enterprise ETL environments, including legacy modernization and cloud-based platforms. This is a delivery-focused engineering role, not a QA or orchestration-only position.

Key Responsibilities

  • Design, develop, and maintain enterprise ETL pipelines supporting large-scale data platforms
  • Build and optimize Python-based data transformation logic (data A → B implemented in Python)
  • Develop scalable data processing solutions using Spark and Databricks
  • Support enterprise analytics and regulated reporting initiatives
  • Implement data validation, reconciliation, and audit-traceable pipelines
  • Write and optimize complex SQL across enterprise data platforms (Snowflake, Oracle, SQL Server, Teradata)
  • Participate in legacy ETL modernization initiatives (e.g., Informatica or shell to Python conversions)
  • Support cloud-based data architectures within Azure environments
  • Collaborate with architects, analysts, QA, and reporting teams to ensure data quality and accuracy
  • Participate in CI/CD, code reviews, and source control using Azure DevOps and GitHub
  • Support production operations, incident resolution, and root-cause analysis

Required Qualifications

  • 5+ years of enterprise data engineering experience
  • 5+ years of hands-on ETL development (Informatica PowerCenter, Azure Data Factory, or similar tools)
  • 5+ years of Python development focused on data engineering and...

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