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Associate Data Engineer Jobs in Minneapolis, MN (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Cognizant Technology Solutions

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking.

Cognizant Technology Solutions

Data Engineer

Blaine, MN · On-site

$65K/yr

Position Overview We are seeking a motivated Data Engineer to join our Data Engineering team. The ... Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking.

UMR

Associate Data | , Minnesota

Minnetonka, MN · On-site

Data Engineer 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 ...

divvyDOSE

Associate Data | , Minnesota

Minnetonka, MN · On-site

Data Engineer 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 ...

Pwc

Data Engineer - Manager

Minneapolis, MN

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Genesis10

Data Engineer - Hybrid

Minneapolis, MN · On-site

$121K - $145K/yr

... Engineer Associate or Azure Solutions Architect Prior work in government, transportation, aviation, utilities, or other regulated environments handling non-public data Only candidates available and ...

Accenture

Google Senior Data Engineer

Minneapolis, MN · On-site

$94K - $266K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Minneapolis, MN

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for associate data engineer in Minneapolis, MN is $19.56, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $20.82 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in Minneapolis, MN?

The most popular types of Data Engineer jobs in Minneapolis, MN are:

What are popular job titles related to Associate Data Engineer jobs in Minneapolis, MN?

For Associate Data Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Associate Data Engineer jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Associate Data Engineer jobs?

Cities near Minneapolis, MN with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,681 per year, or $19.6 per hour.

Associate Data Engineer

UnitedHealth Group

Minnetonka, MN • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

190th of 888 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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