[Hiring] Senior Quality Engineer @UnitedHealth Group

Role Description

You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

• 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.

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.

Requirements

• *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).

Salary Information

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.

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.