Data Engineer

Red Seal Recruiting Ltd.

Pittsburgh (Allegheny County)

Hybrid

USD 110,000 - 160,000

Full time

2 days ago
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Job summary

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.

Qualifications

  • 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 solid ETL/ELT and data warehousing fundamentals.
  • Ability to troubleshoot pipeline failures and data accuracy issues with minimal direction.

Responsibilities

  • 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.

Skills

SQL development
Performance tuning
Data warehousing fundamentals
Troubleshooting pipelines

Education

Bachelor’s degree or equivalent

Tools

Oracle database
Ross ERP
Microsoft Dynamics 365 Finance & Operations
WhereScape RED
TimeXtender
Power BI
SSIS

Job description

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.

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