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# Data Engineer

- **Company:** Robert Half
- **Location:** Philadelphia, PA, United States
- **Contract:** Contract
- **Skills:** Microsoft Azure, Big Data, Data Validation, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Systems, Distributed Computing Environment, Electronic Data Interchange (EDI), Apache Hadoop, Python (Programming Language), SQL Databases, File Transfer Protocol (FTP), Cloud Platform System, Azure Data Factory, Apache Spark, Apache Kafka, Epic Clarity, Data Pipelines, Databricks
- **Published:** November 12, 2026
- **Apply:** https://www.dice.com/job-detail/fbddee6d-2960-403d-b14d-4e1fd968a53c

## About the Role

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., All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

## 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., 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.