Sr. Quality Engineer

Imperial Brady is a leading North American distributor and solutions provider for cleaning and facility care, foodservice, and packaging. With more than 13,000 employees and a broad supply chain network, we deliver national scale with local expertise. Built on strong customer relationships and deep industry knowledge, we go beyond distribution—delivering Supplies + Support through expertise, service, and a commitment to making every customer touchpoint a plus. #i

You will:
• Build automated tests that exercise Fabric pipelines, notebooks, and transformation logic, proving that a pipeline runs end to end, handles failure and retry correctly, and produces the expected result from controlled test input.
• Build automated checks that validate structural changes to materialized lake views (MLVs), lakehouse tables, and semantic models: expected columns and data types, key definitions, dependency chains, and view refresh behavior after a change.
• Test the incremental load behavior our pipelines depend on: watermarking, idempotency, restart and rerun safety, late arriving records, and full reload versus delta paths.
• Automate environment parity verification across Dev, UAT, and Prod, covering object inventory, schema, configuration, and dependency structure, and report drift as soon as it appears rather than at reconciliation time.
• Act as the technical authority on testing for the team. Mentor developers on writing their own tests and set the direction the function follows as it grows beyond one person.
• Help stand up the testing and deployment practice against the Fabric Well-Architected Framework, which the team is adopting as its governance baseline. Much of that alignment is still ahead of us and this role contributes to defining it.
• Report on engineering quality with real numbers: automated coverage, test pass rate, build failure rate, and defect escape rate by stage.

You have:
• Five or more years in test automation, software engineering in test, or data engineering with a heavy testing component, including time spent building a test framework rather than only working inside one. Manual QA experience alone is not a fit for this role.
• Strong Python, including building and maintaining real test suites with a framework such as pytest, and comfort working in PySpark or notebook-based data processing.
• Strong SQL, at the level of writing the query that proves a transformation produced what the specification called for.
• Demonstrated experience testing ETL or ELT pipelines and dimensional models, with a working understanding of fact and dimension tables, grain, incremental loads, and slowly changing dimensions.
• Practical Git and CI/CD experience: branching, pull requests, and building automated checks that run inside a deployment pipeline.
• Experience defining and enforcing technical acceptance criteria as part of an Agile sprint process, including holding a release gate when a change is not ready.
• Clear written communication, since a large part of this role is documenting what is covered by automation and what is not.