Data Engineer

Talent With Heart; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Talent With Heart is seeking a hands-on Data Engineer to build and own ETL/ELT pipelines and an analytics-ready data warehouse in a Pittsburgh, PA environment. You will turn disconnected data into reliable intelligence and support reporting that drives business decisions.

You'll work closely with BI teams, optimize SQL queries, integrate Oracle, Ross ERP, and Dynamics 365 Finance & Operations, and contribute to data quality, governance, and warehouse design in a manufacturing-oriented setting.

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 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.

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

ETL/ELT design

Data warehousing fundamentals

Problem solving

Education

Bachelor's degree or equivalent

Tools

Oracle

WhereScape RED

TimeXtender

Microsoft Fabric

Power BI

SSIS

Informatica

Dataverse

D365 Finance & Operations

Lakehouse

Ross ERP

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.