Data Engineer

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