S
Sr. QA Engineer
Accepting applicationsStarz · Greenwood Village, CO
Full-Time Senior AiMentorPythonaiate
Posted
3d ago
Category
Test
Experience
Senior
Country
United States
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 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
Education / Work Experience Requirements
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)
Required Skills
Data Warehousing & Pipelines: QA experience with ETL/ELT workflows or data migrations
Databases: Strong SQL skills; experience with Snowflake, SQL Server, Oracle, or MySQL
Data Modeling: Solid understanding of relational and dimensional (star) schemas
Programming: Python scripting for writing test cases
Nice To Have Skills
Cloud Platforms: AWS, Azure, or Google Cloud
Data Architectures: Data Lakes, AWS S3
Data Logging: Splunk
Orchestration & Integration: Matillion
Data Formats & Scripting: JSON, XML, YAML, TypeScript, Linux shell scripting
Additional Databases: Redshift, Aurora, DynamoDB, PostgreSQL, Redis
Data Processing & Streaming: Snowpipes, Spark, Spark Streaming, Kafka, Kinesis, Pandas, Airflow
AWS & DevOps: EC2, ECS, Lambda, Step Functions, EKS, EMR, Docker, CloudFormation, CDK
Compensation
$125,000 - $145,000
About STARZ
STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning “We’re All Adults Here.” Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.
Our Benefits
Full Coverage – Medical, Vision, and Dental
Annual discretionary bonus and merit increase
Work/Life Balance – generous sick days, vacation days, holidays, and wellness days
401(k) company matching
Tuition Reimbursement (up to graduate degree)
EEO Statement
Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.
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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 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
Education / Work Experience Requirements
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)
Required Skills
Data Warehousing & Pipelines: QA experience with ETL/ELT workflows or data migrations
Databases: Strong SQL skills; experience with Snowflake, SQL Server, Oracle, or MySQL
Data Modeling: Solid understanding of relational and dimensional (star) schemas
Programming: Python scripting for writing test cases
Nice To Have Skills
Cloud Platforms: AWS, Azure, or Google Cloud
Data Architectures: Data Lakes, AWS S3
Data Logging: Splunk
Orchestration & Integration: Matillion
Data Formats & Scripting: JSON, XML, YAML, TypeScript, Linux shell scripting
Additional Databases: Redshift, Aurora, DynamoDB, PostgreSQL, Redis
Data Processing & Streaming: Snowpipes, Spark, Spark Streaming, Kafka, Kinesis, Pandas, Airflow
AWS & DevOps: EC2, ECS, Lambda, Step Functions, EKS, EMR, Docker, CloudFormation, CDK
Compensation
$125,000 - $145,000
About STARZ
STARZ (NASDAQ: STRZ) is the leading premium entertainment destination for women and underrepresented audiences, and home to some of the most popular franchises and series on television. STARZ offers a robust programming mix for discerning adult audiences, including boundary-breaking originals and an expansive lineup of blockbuster movies, and is embodied by its brand positioning “We’re All Adults Here.” Complementary to any platform or service, STARZ is available across a wide range of digital OTT platforms and multichannel video distributors and is a bundling partner of choice. STARZ is powered by an industry-leading advanced technology, data analytics and digital infrastructure and the highly rated and first-of-its-kind STARZ app.
Our Benefits
Full Coverage – Medical, Vision, and Dental
Annual discretionary bonus and merit increase
Work/Life Balance – generous sick days, vacation days, holidays, and wellness days
401(k) company matching
Tuition Reimbursement (up to graduate degree)
EEO Statement
Starz is an equal employment opportunity employer. All employees and applicants are evaluated on the basis of their qualifications, consistent with applicable state and federal laws. In addition, Starz will provide reasonable accommodations for qualified individuals with disabilities. Starz will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and federal law.
Show more Show less