Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Pittsburgh, PA, US
Live, first seen by us 30 days agoDesign, build, and maintain ETL/ELT pipelines for reporting and analytics
Extract, transform, and load data from Ross, D365 F&O and other sources into the warehouse
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
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.
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.
Solid understanding of ETL/ELT concepts, data warehousing principles, and data integration best practices.
Ability to independently troubleshoot data discrepancies and diagnose pipeline failures.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 30
Similar jobs usually come down between day 6 and day 54.
From 11,184 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
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:
- 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.
- 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.
- Strong hands-on SQL development and tuning experience. - Oracle database experience. QUALIFICATIONS:
- Preferred DBA experience. - Preferred experience with dimensional modeling, SSIS, and Power BI. - Preferred experience in a manufacturing or industrial environment.
- 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.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
QUALIFICATIONS:
RESPONSIBILITIES:
*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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Pittsburgh, PA, US
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:
No clear work-authorization passage found. Eligibility is unconfirmed.