Data Engineer

Position: Data Engineer Experience: 7+ years Locations: Pittsburgh, PA Notice Period: Immediate Joiners Job Overview This position is part of the Enterprise Data & Analytics Capability team under the Global Technology Organization. In this role, you will lead the design, development, and optimization of large-scale data solutions on the Databricks platform. Key responsibilities • Design, build, and maintain scalable data pipelines on Databricks (using Spark, Delta Lake, etc.) • Write clean, efficient, and maintainable PySpark or SQL code for data transformation • Design robust data models for analytics and reporting • Ensure data quality, consistency, and governance • Handle batch and streaming data workflows • Provide architectural guidance and support in platform usage • Drive best practices in data engineering across the team • Monitor and optimize performance of Spark jobs and cluster usage • Ensure compliance with security and data privacy standards Essential skills • Bachelor’s degree in Computer Science, Engineering, or a related field • Minimum of 5 years’ programming experience which includes at least one year working with a big data platform; experience in data engineering domain, Python, SQL, and cloud platforms such as Azure • Familiarity with relevant systems, tools, languages, and business domain which includes Data Lakehouse principles, relational and Kimball data models (required) • Experience with CI/CD pipelines and version control tools (required) • Knowledge of data visualization tools and BI platforms (preferred) • Certification in Databricks or relevant cloud platforms (preferred) • Good communication (verbal and written) • Experience in managing client stakeholders