Data Engineer

Rare Bird Recruiting, LLC; Pittsburgh (Allegheny County); Híbrido; USD 110 000 - 160 000; Tempo integral

Resumo da oferta

Rare Bird Recruiting, LLC is seeking a hands-on Data Engineer in Pittsburgh, PA to build and optimize data pipelines and a robust data warehouse. You’ll transform disparate data into reliable analytics for smarter decisions and partner with BI to deliver trusted reporting data.

The role emphasizes SQL development, Oracle experience, and manufacturing-oriented data environments. On-site with two remote days per month after ramp-up, full-time employment.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

Data engineering

SQL development

ETL/ELT

Data warehousing

Problem solving

Formação académica

Bachelor's degree or equivalent

Ferramentas

Oracle DB

WhereScape RED

TimeXtender

SSIS

Informatica

Power BI

DBA experience

D365 Finance & Operations

Dataverse

Lakehouse

Microsoft Fabric

Descrição da oferta de emprego

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.