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Associate Data Engineering Jobs in Minnesota (NOW HIRING)

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Associate Data Scientist, Marketing

Richfield, MN · Hybrid

$61K - $61K/yr

As an Associate Data Scientist, you will help drive smarter marketing decisions by applying ... Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Associate you analyze complex problems, mentor others, and maintain rigorous standards.

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ...

Kognitiv Edge

Data Engineer II

Minneapolis, MN · On-site

Qualifications: * 3+ years of experience in data engineering, software engineering, analytics ... Relevant certifications (e.g., Security+, CISSP, Azure Security Engineer Associate, CKS)

Pwc

Data Engineer - Manager

Minneapolis, MN

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · On-site

$108K - $146K/yr

Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT ...

UnitedHealth Group

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Serve as a technical subject matter expert and mentor, providing training, design guidance, and code reviews for associates on data engineering best practices, Snowflake optimization, and ADF/DBT ...

Pwc

Data Strategy-Manager

Minneapolis, MN

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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Associate Data Engineering information

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

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

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

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

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Associate Data Engineering jobs? Cities in Minnesota with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Associate Data Engineer

Associate Data Engineer

UnitedHealth Group

Minnetonka, MN • On-site

Full-time

Retirement

Posted 5 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

188th of 877 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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