- JennChem
- Pittsburgh, PA
- Full-Time
- 31 days ago
Data Engineer.
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Data Engineer: our view in 3 lines...
- The Role:This role focuses on building and maintaining data integration pipelines that move information into a data warehouse so it can be used for analytics and reporting.
- The Person:The person will design, build, and maintain ETL/ELT pipelines, extract and load data from source systems into the data warehouse, monitor and resolve ETL job failures, and document data flows and transformation logic.
- Requirements:The ideal candidate has hands-on SQL development and tuning experience, Oracle database experience, a solid understanding of ETL/ELT concepts, data warehousing principles, data integration best practices, and dimensional modeling.
About the role
JOB SUMMARY:
The Data Engineer will design, build, and maintain ETL/ELT pipelines that support Jennmar’s reporting and analytics environment. Works within the BI team to extract, transform, and load data from Ross, D365 F&O, and other source systems into the data warehouse, ensuring data is accurate, timely, and well-structured for downstream Power BI reporting. Builds and optimizes pipelines for performance and reliability; writes and tunes complex SQL; monitors and resolves ETL job failures; maintains data quality through validation, error handling, and logging; documents data flows and transformation logic; and supports data warehouse architecture and dimensional modeling. Position is onsite full time at PITCORP, with two remote days per month after the initial ramp period.
EDUCATION/EXPERIENCE:
- Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- 5+ years of experience as a Data Engineer, ETL Developer, or in a similar data engineering role.
- Strong hands-on SQL development and tuning experience.
- Oracle database experience.
QUALIFICATIONS:
- Solid understanding of ETL/ELT concepts, data warehousing principles, and data integration best practices.
- Ability to independently troubleshoot data discrepancies and diagnose pipeline failures.
- Preferred experience with WhereScape RED or TimeXtender.
- Preferred experience with Microsoft Fabric, Lakehouse, and Dataverse.
- Preferred experience with D365 Finance & Operations.
- Preferred DBA experience.
- Preferred experience with dimensional modeling, SSIS, and Power BI.
- Preferred experience in a manufacturing or industrial environment.
RESPONSIBILITIES:
- Design, build, maintain, and optimize ETL/ELT pipelines supporting reporting and analytics.
- Extract, transform, and load data from Ross, D365 F&O, and other source systems into the data warehouse.
- Ensure data is accurate, timely, reliable, and well-structured for downstream reporting.
- Write, optimize, and tune complex SQL queries and processes.
- Monitor ETL jobs and troubleshoot and resolve pipeline failures.
- Implement data validation, error handling, and logging to maintain data quality.
- Document data flows, transformation logic, and integration processes.
- Support data warehouse architecture and dimensional modeling.
- Collaborate with the BI team to support Power BI reporting and analytics needs.
- Build and optimize data pipelines for performance, scalability, and reliability.
*Excellent benefits include medical with a standard PPO plan with deductibles as low as $1,500 and wellness credit up to $750; free concierge primary care; voluntary 401k plan currently matching up to 12%; voluntary dental and vision plans; free telemedicine services; basic life, long and short-term disability coverage.
EOE M/F/D/V
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