Data Engineer

We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.Responsibilities:• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.