Starz · 7 hours ago
Sr. QA Engineer
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 timely, accurate, and reliable data products across the organization.
Digital EntertainmentFilmMedia and EntertainmentService IndustrySubscription Service
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
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
Preferred
AWS, Azure, or Google Cloud
Data Lakes, AWS S3
Splunk
Matillion
JSON, XML, YAML, TypeScript, Linux shell scripting
Redshift, Aurora, DynamoDB, PostgreSQL, Redis
Snowpipes, Spark, Spark Streaming, Kafka, Kinesis, Pandas, Airflow
EC2, ECS, Lambda, Step Functions, EKS, EMR, Docker, CloudFormation, CDK
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)
Company
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.
H1B Sponsorship
Starz has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
Funding
Current Stage
Public CompanyTotal Funding
unknown2016-06-30Acquired
2013-01-14IPO
Recent News
The Hollywood Reporter
2025-11-14
Company data provided by crunchbase