Data Engineer 3

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer 3 based in the United States.

As a Data Engineer 3, you will design, develop, and maintain scalable data pipelines and analytics solutions supporting large-scale healthcare data processing. You will work extensively with CMS and Medicaid datasets, leveraging cloud-based technologies, particularly Databricks, to deliver reliable, secure, and high-performance data solutions. Using Python, PySpark, and SQL, you will build sophisticated ETL/ELT workflows and distributed data processing systems. You will play an important role in ensuring data quality, consistency, governance, and compliance with healthcare privacy requirements. Working closely with analytics, engineering, and DevOps teams, you will help strengthen data platform capabilities and support critical reporting and operational needs. This opportunity is ideal for an experienced data engineering professional interested in applying modern cloud technologies to meaningful healthcare data challenges.

Accountabilities In this role, you will build and optimize data infrastructure, develop reliable processing workflows, and ensure that healthcare data is accessible, accurate, and secure. Your main responsibilities will include:

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Design, develop, and implement scalable data pipelines for ingesting, transforming, and processing healthcare datasets.

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Build and maintain ETL/ELT workflows supporting the integration and processing of CMS and Medicaid data.

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Develop and manage data processing workflows using Databricks and distributed computing technologies.

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Create data transformation and analytics solutions using Python, PySpark, and SQL.

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Ensure data quality, consistency, integrity, and governance across multiple systems and platforms.

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Optimize data pipeline performance and large-scale processing workloads to improve efficiency and reliability.

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Collaborate with analytics, engineering, and DevOps teams to support data platform operations and continuous improvements.

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Maintain clear technical documentation covering data architecture, data models, pipeline processes, and workflows.

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Implement appropriate security practices and support compliance with healthcare data privacy and protection requirements.

Requirements

The ideal candidate is an experienced data engineering professional with strong programming skills, cloud analytics expertise, and practical knowledge of healthcare data environments. The following qualifications and capabilities are required:

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Bachelor's degree with at least 5 years of relevant professional experience, or a Master's degree with at least 3 years of relevant experience.

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