Jobs in the United States

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NC
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Robert Half

Data Engineer

Remote, United States

Apply on roberthalf.com About employer

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Job details

Apply by: Dec 11, 2026
Posting language: English
Posted: Nov 10, 2026

Original job description

We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.

Responsibilities:

Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.
Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.
Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.
Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.
Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.
Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.
Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.
Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
Strong hands-on experience in data engineering with deep knowledge of Python or SQL, and preferably strength in both.
Proven experience working with Azure data platforms, with Azure Databricks strongly preferred.
Proficiency with distributed data processing technologies such as Apache Spark; experience with Hadoop or Kafka is beneficial.
Demonstrated background building ETL processes and scalable data pipelines in cloud environments.
Experience working with healthcare, clinical, patient-quality, or other regulated data domains is highly preferred.
Familiarity with Epic Clarity and the ability to investigate source tables for reporting and analytics needs.
Solid understanding of data quality, governance, and compliance considerations in regulated environments.

Apply on roberthalf.com About employer

More about this job

Skills

Microsoft Azure
Data engineering
Python
SQL
Process data
Reporting
Databricks
Apache Spark
Regulatory compliance
FTP
Apache Hadoop
Apache Kafka
EPIC

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Work requirements

Jobs in the United States