Data Engineer (SQL, PySpark and Python)Location: Pittsburgh, PA Hybrid (3 to 4 days from office) 6-12+ Months Contract (Possible Extension)Design, develop, and optimize data pipelines and big data applications using SQL, PySpark, and Python.Key Responsibilities:This role is pivotal in enabling organizations to process, analyze, and manage large datasets efficiently on modern enterprise data platforms.Develop and maintain complex SQL queries and stored procedures for data extraction, transformation, and loading (ETL).Build and optimize scalable data pipelines and data processing workflows using PySpark and Python.Collaborate with data engineers, scientists, and analysts to understand and fulfill data requirements.Ensure data quality, integrity, and consistent performance across big data environments.Debug, monitor, and fine-tune data jobs for optimal performance.Document code and processes; adhere to best practices for coding and performance.
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