Data Engineer

Professional Recruiting Consultants, Inc.

Pittsburgh (Allegheny County)

Hybrid

USD 90,000 - 140,000

Full time

2 days ago
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Job summary

Professional Recruiting Consultants, Inc. is seeking a hands-on Data Engineer in Pittsburgh to turn complex, disconnected data into reliable intelligence.

This role builds the pipelines and warehouse foundations that power reporting and better business decisions for a growing industrial organization. You will own critical ETL/ELT pipelines, integrate Oracle and ERP data, write and tune SQL, monitor loads, and collaborate with BI teams to deliver trusted data assets.

Qualifications

  • 5+ years in data engineering or closely related roles.
  • Strong SQL development and performance-tuning skills.
  • Experience with Oracle databases and data warehousing fundamentals.

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
ETL/ELT development
Data warehousing fundamentals
Oracle databases
Troubleshooting pipelines
Bachelor's degree

Education

Bachelor's degree or equivalent

Tools

Oracle DBMS
SSIS
Informatica
Power BI
WhereScape RED
TimeXtender
Microsoft Fabric
Dataverse
D365 Finance & Operations

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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