Data Engineer

Data Engineer (T1459142-PHI) Wayne, Pennsylvania Salary: USD115000 - USD125000 per year Location: Hybrid Wayne, PA (2 days on site/week required) We are seeking a Data Engineer with strong hands‑on experience in Azure Databricks and modern data pipeline development. This role will focus on building and optimizing data pipelines, developing scalable data solutions, and working with structured and semi‑structured data in cloud environments. Key Responsibilities Design, develop, and maintain data pipelines using Azure Databricks and related Azure services Build and optimize ETL/ELT workflows to support data ingestion, transformation, and processing Work with large datasets using PySpark and Databricks notebooks to deliver efficient data solutions Implement data transformations, validations, and performance optimizations across pipelines Collaborate with data architects, analysts, and business stakeholders to understand data requirements Assist in troubleshooting data pipeline issues and improving system reliability and performance Support integration with Azure Data Factory for orchestration and pipeline workflows Ensure data quality, consistency, and accuracy across datasets and downstream systems Participate in code reviews and contribute to best practices for data engineering standards Required Qualifications 3+ years of data engineering experience Hands‑on experience with Azure Databricks Strong SQL skills for querying, transformation, and data validation Experience with Python and PySpark for data processing Familiarity with Azure Data Factory for pipeline orchestration Experience working with data pipelines beyond simple ingestion (transformations, optimization, scaling) Ability to pass a hands‑on coding assessment in Databricks / PySpark / SQL #J-18808-Ljbffr Beacon Hill