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Data Quality Associate Jobs in Minnesota (NOW HIRING)

... associate and leader support. The Manager, HR Operations partners closely with HR, Talent, Payroll ... Monitor data quality trends and drive corrective actions HR Support / Contact Center Operations

... associate and leader support. The Manager, HR Operations partners closely with HR, Talent, Payroll ... Monitor data quality trends and drive corrective actions HR Support / Contact Center Operations

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... You are expected to anticipate the needs of your teams and clients, and to deliver quality work.

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Data Quality Associate information

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$10

$26

$49

How much do data quality associate jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data quality associate in Minnesota is $26.38, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $30.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Quality Associate, and why are they important?

To thrive as a Data Quality Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor's degree. Familiarity with data quality tools (such as Informatica Data Quality or Talend), SQL, and data governance frameworks is typically required. Excellent problem-solving, communication, and organizational skills help you collaborate effectively and resolve data discrepancies. These abilities ensure the accuracy, reliability, and integrity of organizational data, which is essential for informed decision-making and operational efficiency.

How does a Data Quality Associate typically collaborate with other teams to ensure data integrity?

As a Data Quality Associate, you will frequently work across departments such as data engineering, business analytics, and IT to address data discrepancies and implement quality standards. Collaboration often involves participating in regular meetings to discuss data issues, clarifying data definitions, and coordinating on data validation projects. This cross-functional teamwork is essential, as it ensures that data quality initiatives are aligned with organizational goals and that any issues are communicated and resolved efficiently.

What is the difference between Data Quality Associate vs Data Analyst?

AspectData Quality AssociateData Analyst
Primary FocusEnsuring data accuracy, completeness, and consistencyAnalyzing data to identify trends and support decision-making
Skills & CertificationsData management, quality control, basic SQL, ExcelData analysis, statistical skills, SQL, visualization tools
Work EnvironmentData management teams, quality assurance departmentsBusiness units, analytics teams, IT departments
Industry UsageCommon in healthcare, finance, and tech sectorsWidespread across industries for data-driven roles

The Data Quality Associate primarily focuses on maintaining the integrity and accuracy of data, ensuring it meets quality standards. In contrast, a Data Analyst interprets data to generate insights and support strategic decisions. While both roles require data skills, their core responsibilities differ, with the Data Quality Associate emphasizing data integrity and the Data Analyst emphasizing data interpretation.

What does a Data Quality Associate do?

A Data Quality Associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They monitor data flows, identify errors or inconsistencies, and work with other teams to resolve any issues. Their work helps maintain high data standards, which is essential for reliable reporting and decision-making. Data Quality Associates may also help develop data validation processes and contribute to improving data management practices.
What are the most commonly searched types of Data Quality jobs in Minnesota? The most popular types of Data Quality jobs in Minnesota are:
What are popular job titles related to Data Quality Associate jobs in Minnesota? For Data Quality Associate jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Quality Associate jobs in Minnesota look for? The top searched job categories for Data Quality Associate jobs in Minnesota are:
What cities in Minnesota are hiring for Data Quality Associate jobs? Cities in Minnesota with the most Data Quality Associate job openings:
Associate Data Engineer

Full-time

Retirement

Posted 21 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 885 rated healthcare providers


Job description

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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come makes an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

  • Architect, design, and implement scalable data platforms, pipelines, and ETL/ELT workflows

  • Lead end to end data engineering efforts, ensuring reliability, performance, and cost efficient data systems

  • Mentor and guide junior and senior data engineers, fostering a culture of technical excellence and collaboration

  • Collaborate with cross functional teams (analytics, product, engineering, business) to align data solutions with business goals

  • Data Engineering & Pipeline Development

  • Build, optimize, and maintain robust data pipelines using Python, SQL, and Apache Airflow

  • Manage large-scale data ingestion, transformation, and orchestration frameworks

  • Optimize database queries, stored procedures, and schema design in MSSQL and other SQL/NoSQL systems

  • Cloud & Infrastructure

  • Develop and manage cloud native data platforms using AWS services (S3, Glue, Lambda, RDS, Redshift, EC2, Step Functions, etc.)

  • Ensure high availability, disaster recovery, and monitoring of critical data workflows

  • Implement CI/CD, infrastructure as code, and DevOps practices for data engineering workloads

  • Data Warehousing & Modeling

  • Design and enhance enterprise data warehouses and data marts following industry best practices

  • Drive dimensional modeling, data partitioning, performance tuning, and metadata management

  • Ensure consistency and quality across analytical datasets and data sources

  • Data Governance & Quality

  • Establish data quality frameworks, lineage tracking, validation checks, and documentation

  • Implement governance standards including security, compliance, and access controls

  • Partner with business stakeholders to define and enforce master data and reference data strategies

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 or equivalent experience

  • 4 years: Data Engineering experience, including 3 years in a dedicated data engineering role
  • 2 years: Hands-on experience with AWS Cloud for data architecture and pipeline development
  • 3 years: Experience using Apache Airflow for workflow orchestration and pipeline scheduling
  • 4 years: Expertise in MSSQL, including query optimization, indexing strategies, stored procedures, and performance tuning
  • 4 years: Experience with Data Warehousing concepts and ETL/ELT processes (Airflow, Informatica, SSIS)
  • 3 years: Experience working with big data processing frameworks and distributed data systems
  • 2 years: Experience building Machine Learning models, Generative AI solutions, and Multi-Agent Systems (Google ADK preferred)
  • 4 years: Knowledge of data management principles, including governance, data quality, lineage, and security
  • 4 years: Proficiency in Python for data engineering (Pandas, PySpark, etc.)
  • 3 years: Experience translating business requirements into scalable technical data solutions 

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 hourly pay for this role will range from $60,200 to $107,400 per hour based on full-time employment. We comply with all minimum wage laws as applicable. 

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location, and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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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