Quality Engineering Lead - Automation

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities:

• Define and drive quality strategy for data products (pipelines, datasets, APIs, reports)
• Translate business requirements into testable acceptance criteria and quality gates
• Design and implement automated tests (unit, integration, end-to-end) for ETL/ELT workflows
• Build data validation checks (schema drift, null/duplicate detection, referential integrity, business rules)
• Establish CI/CD quality controls (test execution, code review standards, release readiness)
• Create and maintain test data, mocks/stubs, and repeatable environments
• Monitor production quality signals, triage defects, and lead root-cause analysis with engineering
• Partner with data engineers, analysts, and product to improve observability, documentation, and data trust
• Track quality metrics (defect leakage, test coverage, DQ scorecards) and drive continuous improvement
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

• Bachelor's degree in computer science, Information Systems, or related field
• 5+ years in QA/test engineering, including solid automation ownership
• Experience testing data pipelines and/or distributed systems (batch and streaming)
• Hands-on CI/CD experience (e.g., GitHub Actions, Azure DevOps, Jenkins) and version control (Git)
• Solid SQL skills and experience validating complex transformations and large datasets
• Proficiency in one scripting language (Python preferred) and test frameworks
• Familiarity with data quality tooling/patterns: profiling, anomaly detection, schema management, lineage concepts
• Ability to debug across layers (jobs, logs, metrics, queries) and communicate clear defect reports
• Solid stakeholder skills: requirements clarification, risk-based testing, and mentoring

• Knowledge of cloud data platforms and orchestration (e.g., Azure/AWS/GCP, Airflow/ADF/Databricks)