Get a reply from this employer
Your resume and cover letter, tailored to exactly what they’re hiring for.
Red Seal Recruiting Ltd. is seeking a hands-on Data Engineer in Pittsburgh, PA to design, build, and optimize ETL/ELT pipelines feeding an enterprise data warehouse.
You will integrate data from Oracle, Ross ERP, Microsoft Dynamics 365 Finance & Operations, and other systems to support reporting and decision-making. You will write and tune complex SQL queries, monitor data loads, and troubleshoot discrepancies while collaborating with BI developers and business stakeholders.
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.
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.
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.
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.
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.
This position is based on-site in Pittsburgh, with two remote days per month available after the initial ramp-up period.