Data Engineer

We are looking for a Data Engineer to support healthcare data initiatives for ambulatory operations in Philadelphia, Pennsylvania. This Long-term Contract position will focus on designing and maintaining scalable data pipelines, improving data accessibility, and enabling reliable reporting across clinical and operational environments. The role suits someone who communicates effectively, works well with cross-functional teams, and brings strong experience with modern cloud data platforms and healthcare data systems.

Responsibilities:

• Build and optimize end-to-end data pipelines using Databricks, Snowflake, Azure, and related cloud technologies to support ambulatory operational data needs.
• Develop ETL and ELT workflows that ingest, transform, and validate data from healthcare platforms, including Epic Ambulatory and other enterprise sources.
• Collaborate with analysts, operational stakeholders, and technical teams to translate business needs into dependable data solutions and well-structured datasets.
• Create and maintain data integrations using tools such as Azure Data Factory, Azure Data Lake, Apache Spark, Kafka, Hadoop, and AWS Glue where appropriate.
• Ensure data quality, consistency, and performance by monitoring pipeline execution, troubleshooting issues, and implementing scalable engineering practices.
• Support the development of a core data engineering function for the team by establishing reusable frameworks, standards, and documentation.
• Partner with healthcare and hospital-based stakeholders to deliver data assets that improve operational visibility and decision-making.
• Contribute to architecture discussions, code reviews, and process improvements while communicating clearly with both technical and non-technical audiences.
• Hands-on experience as a Data Engineer working with cloud-based data platforms and large-scale data processing environments.
• Strong proficiency in Python and Apache Spark for data transformation, pipeline development, and automation.
• Experience with Azure technologies, including Azure Data Factory, Azure Data Lake, and Azure Databricks.
• Working knowledge of Snowflake and ETL or ELT design principles for building efficient and reliable data workflows.
• Familiarity with distributed data tools such as Apache Hadoop, Apache Kafka, and AWS Glue.
• Background supporting hospital or healthcare data environments, with experience related to Epic Ambulatory strongly preferred.
• Ability to communicate clearly, collaborate effectively, and adapt within a growing team environment.