Data Engineer
Build the Data Foundation Behind Smarter Decisions
Pittsburgh, PA | Full-Time | Primarily On-Site
Our client is seeking a hands-on Data Engineer who loves turning complex, disconnected data into reliable intelligence. This is an opportunity to make a visible impact on a growing industrial organization - building the pipelines and warehouse foundations that power meaningful reporting and better business decisions.
Why This Opportunity Stands Out
- Own critical data pipelines from source systems to analytics-ready datasets.
- Work closely with a business intelligence team on high-impact reporting initiatives.
- Bring your SQL and Oracle expertise to real operational challenges in a manufacturing-oriented environment.
What You’ll Do
- Design, build, and optimize ETL/ELT pipelines feeding an enterprise data warehouse.
- Integrate data from Oracle, Ross ERP, Microsoft Dynamics 365 Finance & Operations, and other systems.
- Write and tune complex SQL queries, stored procedures, and scripts for performance and reliability.
- Monitor data loads, diagnose failures, and resolve discrepancies independently.
- Strengthen data quality through validation, logging, and error handling.
- Partner with BI developers, analysts, and business stakeholders to deliver trusted reporting data.
- Document data flows and transformation logic; contribute to warehouse architecture, dimensional modeling, and code reviews.
What You Bring
- 5+ years in data engineering, ETL development, or a closely related role.
- Strong hands-on SQL development and performance-tuning skills.
- Experience with Oracle databases and sound ETL/ELT and data warehousing fundamentals.
- Ability to troubleshoot pipeline failures and data accuracy issues with minimal direction.
- Bachelor’s degree in a related discipline or equivalent professional experience.
Extra Experience We’d Love to See
- WhereScape RED or TimeXtender; Microsoft Fabric, Lakehouse, or Dataverse.
- D365 Finance & Operations, SSIS, Informatica, Power BI, or DBA experience.
- Dimensional modeling and manufacturing, mining, or industrial data environments.
Work Arrangement
This position is based on-site in Pittsburgh, with two remote days per month available after the initial ramp-up period.