Sr. Quality Engineer

Reposted Yesterday
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Jersey City, NJ, USA
In-Office
120K-140K Annually
Senior level
Food • Logistics • Industrial
The Role
Build and lead automated quality engineering for Microsoft Fabric data pipelines, notebooks, transformations, lakehouse structures, semantic models, and deployment environments. Develop test frameworks and regression suites, validate incremental loads and environment parity, integrate automated checks into CI/CD, define technical acceptance criteria, mentor developers, and report engineering quality metrics. This role focuses on engineering testing before UAT rather than manual QA or business data validation.
Summary Generated by Built In

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. #imperialbradyjobs

 

**All correspondence will come directly from Imperial Brady and not a personal email address.**

 

Senior Quality Engineer
Imperial Brady is building a single enterprise data platform out of the merged Imperial Dade and BradyPlus data estates. The EDW team delivers that platform on Microsoft Fabric, and every change we ship moves through Dev, UAT, and Prod on a three-week sprint cycle.
We are hiring our first dedicated Quality Engineer, at a senior level. This is an engineering role. The person in this seat writes and runs automated tests that prove our pipelines, transformations, and architecture changes behave correctly before anything is handed to the business. Their work happens during the development weeks, inside the code and the deployment pipeline, not at the end of the sprint.
To be explicit about the boundary: this role is not UAT testing, and it is not data quality validation. The business units own data quality and acceptance during the UAT week, and they produce the reconciliation evidence that gates a release. This role exists so that by the time a Story reaches UAT, the business is evaluating whether the numbers are right, not discovering that the build is broken. There is no test framework, no automated regression suite, and no QA function today. You are being hired to build them.

Compensation Range: $120,000 to $140,000 + Bonus

Salary range reflects the Jersey City, NJ market & compensation may vary based on geographic location

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.

We offer a dynamic environment for our more than 13,000 employees to work, learn, and grow professionally. We value our people and strive to create rewarding career opportunities by offering competitive salaries and benefits (medical, dental, vision), a 401(k) program with company match, life insurance, a generous paid time off package, educational reimbursement, paid family leave, and adoption assistance. We are excited to invite talented individuals with a passion for excellence to join our team.

 

Imperial Brady is an EEO Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, pregnancy, status as a parent, national origin, age, disability (physical or mental), family medical history, or genetic information, political affiliation, military service, or other non-merit-based factors.

 

Our company is a Fair Chance employer, committed to providing opportunities for qualified individuals with past justice system involvement. We believe in assessing candidates based on their skills and experience. A conditional offer of employment will be contingent upon the successful completion of a background check, consistent with applicable federal, state, and local laws.

 

MASSACHUSETTS APPLICANTS:

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Skills Required

  • Five or more years of experience in test automation, software engineering in test, or data engineering with substantial testing experience
  • Experience building a test framework and automated test suites; manual QA experience alone is insufficient
  • Strong Python skills, including maintaining test suites with a framework such as pytest
  • Experience with PySpark or notebook-based data processing
  • Strong SQL skills for validating data transformations
  • Experience testing ETL or ELT pipelines and dimensional models
  • Understanding of fact and dimension tables, data grain, incremental loads, and slowly changing dimensions
  • Practical Git and CI/CD experience, including branching, pull requests, and automated deployment checks
  • Experience defining and enforcing technical acceptance criteria in Agile sprints
  • Ability to hold release gates when changes are not ready
  • Clear written communication and documentation skills
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The Company
HQ: Jersey City, NJ
7,500 Employees
Year Founded: 1935

What We Do

Imperial Dade is an independently owned North American distributor of foodservice packaging, janitorial supplies, commercial cleaning products, and industrial packaging. It provides customized supply-chain solutions to business customers across restaurants, grocery stores, healthcare, sports and entertainment, and cruise lines. Founded in 1935 and headquartered in New Jersey, the company serves more than 120,000 customers through over 130 branches across North America.

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