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Open nowPosted 5 days ago

QA Automation Engineer with Databricks

Kaufman Hall212 open roles

Where
Chicago IL 60607
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Your applicationOpen nowQA Automation Engineer with DatabricksKaufman Hall · Chicago IL 60607

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Kaufman Hall's own form.

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The clock on this job

Early applications get read.

8.0% of postings close within 7 days. Measured by our own scanner across the market. Kaufman Hall postings stay open a median of 29 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 8.0%7 days
  4. 15.0%14 days
  5. 34.2%30 days
This job: posted 5 days ago

Kaufman Hall median: 29 days open

The posting

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Responsibilities:

Required Responsibilities

  • Develop and maintain automated test suites for Databricks jobs, Delta tables, views, data transformations, and ETL pipelines.
  • Validate metric calculations, business rules, aggregations, derived values, and source-to-target data transformations within Databricks.
  • Perform source-to-target reconciliation and validate data completeness, accuracy, consistency, timeliness, and referential integrity across systems.
  • Develop automated tests for full and incremental loads, updates, deletes, retries, exception handling, and recovery scenarios.
  • Create test data, SQL validation queries, reusable utilities, and reconciliation frameworks to improve testing efficiency and coverage.
  • Integrate automated data tests into CI/CD pipelines and enhance test automation frameworks and processes.
  • Perform functional, integration, regression, and end-to-end testing across large-scale data solutions.
  • Analyze test failures, conduct root cause analysis, document defects, and collaborate with data engineering and platform teams to resolve issues.

Preferred Responsibilities

  • Validate data and integrations involving Stardog, knowledge graph platforms, and other data technologies.
  • Test knowledge graph structures, ontologies, relationships, mappings, SPARQL queries, data lineage, and provenance.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $88,900.00 to $155,500.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

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