Sr. QA Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

Offered From the posting source checked Jun 20, 2026

Verification

Not verified

Salary

$125K-$145K From the posting source checked Jun 20, 2026

401(k) match

Reported not verified - source not recorded; source URL not recorded; timestamp not recorded

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

16% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. QA Engineer Denver, CO (Greenwood Village) Job Description The STARZ Data Products & Engineering team is seeking a Senior QA Data Engineer who is passionate about ensuring data quality, integrity, and trust at scale. In this role, you will design and build data testing frameworks-primarily using Snowflake and supporting scripting pipelines-to ensure our ETL/ELT processes deliver timely, accurate, and reliable data products across the organization. You will work across a diverse data ecosystem, validating data ingestion and transformation from database systems, vendor-supplied files, API endpoints, and AWS S3. Partnering closely with Data Engineering and Business Intelligence teams, you will embed data quality checks early in the development lifecycle and help establish consistent QA standards that scale across teams. Our data pipelines support the entire organization, making data integrity a critical and highly visible responsibility. Strong experience with Snowflake or equivalent cloud data platforms is preferred. Responsibilities Design, develop, test, and maintain automation-first, scalable, and reliable data QA and validation processes Implement testing practices, integrating data quality checks early in pipeline design and development Validate data accuracy, completeness, and consistency across complex, high-volume datasets from multiple internal and external sources Analyze and interpret entity-relationship diagrams, relational models, and dimensional (star/snowflake) schemas Write, review, and optimize complex SQL queries in Snowflake (or equivalent platforms) Create and execute detailed test cases based on business and technical requirements, including interpretation of data mapping documents Define and document test strategies, test plans, and test summary reports Partner closely with Data Engineers and BI teams

Read the full description at starz.wd5.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.