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Starz · 9 hours ago

Sr. QA Engineer

Greenwood Village, CO

Full-time

Onsite

Mid, Senior Level

$125K/yr - $145K/yr

6+ years exp

STARZ is the leading premium entertainment destination for women and underrepresented audiences, and they are 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 to ensure ETL/ELT processes deliver timely, accurate, and reliable data products across the organization.

Digital EntertainmentFilmMedia and EntertainmentService IndustrySubscription Service

H1B Sponsor Likely

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 to clarify requirements, provide actionable feedback, and communicate testing results

Build and maintain reusable regression testing frameworks to continuously ensure data quality across evolving pipelines

Mentor team members and influence best practices for data testing, automation, and quality standards across the data engineering organization

Proactively identify data quality risks and recommend improvements to pipeline design, testing approaches, and tooling

Qualification

SnowflakeSQLETL/ELT workflowsData ModelingPython scriptingAWSAzureGoogle CloudData LakesSplunkMatillionJSONXMLYAMLTypeScriptLinux shell scriptingRedshiftAuroraDynamoDBPostgreSQLRedisSnowpipesSparkSpark StreamingKafkaKinesisPandasAirflowEC2ECS

Required

6+ years of experience in a senior-level QA role on a technical team, preferably within data engineering or analytics

Bachelor's degree in Information Management, Computer Science, Mathematics, Statistics, or a related technical field (or equivalent experience)

QA experience with ETL/ELT workflows or data migrations

Strong SQL skills; experience with Snowflake, SQL Server, Oracle, or MySQL

Solid understanding of relational and dimensional (star) schemas

Python scripting for writing test cases