Senior Quality Engineer
UnitedHealth Group, Raleigh, NC, United States
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.
Compensation and Benefits
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). 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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.
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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.
Compensation and Benefits
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). 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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug‑free workplace. Candidates are required to pass a drug test before beginning employment.
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