Senior Data Engineer (Full-Time)

Location: Pittsburgh, PA (Hybrid – 3 days onsite per week)

Prequel Solutions is seeking a Senior Data Engineer for a full-time, salaried opportunity with a leading financial services organization in the Pittsburgh area. This role offers a hybrid work schedule (three days onsite weekly) and a full suite of health, retirement, and paid time off benefits.

Important Notes

• Full-time, direct hire position (no contract)
• Candidates must be based in the Pittsburgh area
• U.S. Citizen or Green Card required – sponsorship is not available for this role

Role Overview

The Senior Data Engineer will join an enterprise data and analytics team responsible for building and optimizing scalable data solutions within a modern cloud-based big data environment. This role focuses on designing high-performance data pipelines, improving data quality, and supporting enterprise analytics initiatives.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using modern big data technologies
• Build and optimize data transformation processes using Python (PySpark) and SQL
• Develop and support data models for analytics and reporting (relational and dimensional/Kimball)
• Ensure data quality, integrity, governance, and security across the data platform

Technical Qualifications

• 10+ years of software or data engineering experience
• Hands-on experience with big data platforms such as Databricks, Spark, Snowflake, or similar
• Strong proficiency in Python and SQL
• Experience working in a cloud environment (Azure preferred)
• Experience with data pipeline development, ETL/ELT processes, and large-scale data environments