Data Engineer (Full-Time)

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

Prequel Solutions is seeking a 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 Data Engineer will join an enterprise data and analytics team supporting the development and optimization of scalable data solutions within a cloud-based big data environment. This role focuses on building reliable data pipelines, supporting data modeling efforts, and contributing to enterprise data initiatives.

Key Responsibilities

Build and maintain data pipelines using modern big data technologies

Develop data transformation processes using Python (PySpark) and SQL

Support data modeling for analytics and reporting (relational and dimensional/Kimball)

Ensure data quality, integrity, and reliability across data workflows

Technical Qualifications

5+ years of software or data engineering experience

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 ETL/ELT development and large-scale data environments