You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:- Design, build, and maintain scalable data quality frameworks to validate accuracy, completeness, consistency, and timeliness of enterprise data across multiple data domains
- Develop and automate data quality checks and controls using SQL, Python, and PySpark notebooks within a Databricks environment
- Implement data validation, reconciliation, and anomaly detection logic across batch and streaming data pipelines
- Embed automated data quality checks into ETL / ELT pipelines to enforce quality gates and prevent defective data from propagating downstream
- Build reusable data quality automation components, libraries, and frameworks that can be consistently adopted across data engineering teams
- Validate Power BI datasets, semantic models, and dashboards by ensuring:
- Source-to-report data reconciliation
- Metric and KPI accuracy
- Aggregation, filter, and refresh correctness
- Partner with reporting and analytics teams to validate Power BI measures, calculations, and business logic against certified data sources
- Monitor and report on data quality metrics and trends, including dashboard-level data accuracy and consistency
- Perform root cause analysis for data quality and reporting issues, collaborating with upstream data producers and downstream consumers to drive permanent fixes
- Leverage AI-assisted data quality practices, including:
- GenAI-based rule generation and test case creation
- Intelligent anomaly detection and pattern recognition
- Automated triage and summarization of data quality issues
- Enable AIOps-style data observability, using AI-driven insights to proactively identify data drift, schema changes, and metric anomalies
- Support governance and audit readiness by ensuring data quality controls, validations, and dashboard certifications are documented and traceable
- Continuously improve data quality practices through automation, standardization, and AI-driven enhancements, reducing manual validation effort
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:- Bachelor's degree in Computer Science, Engineering, or IT related field
- 5+ years of experience in data quality engineering, quality engineering, or data engineering roles with a strong focus on automation and frameworks with a solid understanding of data quality dimensions (accuracy, completeness, consistency, timeliness, validity)
- 5+ years of experience with SQL for data profiling, reconciliation, and validation
- 5+ years of experience implementing automated data quality frameworks embedded within ETL / ELT workflows
- 3+ years of experience in Python and PySpark, including building reusable notebooks and automation frameworks
- 3+ years of proven experience working in a Databricks environment, supporting large-scale data pipelines and analytics platforms
- 2+ years of hands-on experience validating Power BI datasets, dashboards, KPIs, and metrics against source systems
Preferred Qualifications: - Strong communication skills with the ability to translate business reporting requirements into technical quality controls
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
