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Associate Data Engineer Jobs in Minnesota (NOW HIRING)

Pwc

Data Strategy & Governance -Director

Minneapolis, MN · On-site

$155K - $410K/yr

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

Accenture

Azure Data Architect

Minneapolis, MN

$66.05 - $76.05/hr

Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment ... Bachelors or Associates degree * Excellent communication skills for both technical and business ...

Actalent

Data Collection Associate

Saint Paul, MN · On-site

$22/hr

Data Collection Associate The Data Collection Associate supports highly regulated audit activities ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

Pwc

CTIO-AI Engineer-Sr Associate

Minneapolis, MN · On-site

$55K - $187K/yr

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

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in Minnesota

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for associate data engineer in Minnesota is $18.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.05 and $19.52 per hour, depending on experience, location, and employer.

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, 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 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.

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 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 are the most commonly searched types of Data Engineer jobs in Minnesota? The most popular types of Data Engineer jobs in Minnesota are:
What are popular job titles related to Associate Data Engineer jobs in Minnesota? For Associate Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Associate Data Engineer jobs in Minnesota look for? The top searched job categories for Associate Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Associate Data Engineer jobs? Cities in Minnesota with the most Associate Data Engineer job openings:
Associate Data Engineer jobs near you
Associate Data Science Analyst - Lutgens Lab - Temporary part time

Associate Data Science Analyst - Lutgens Lab - Temporary part time

Mayo Clinic

Rochester, MN • On-site

Part-time

Posted 3 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

132nd of 870 rated healthcare providers

Job description

This position utilizes data analysis, data mining, pattern analysis, data visualization, reporting, and data management skills. Supports projects under close supervision of senior data analysts or data scientists. Types of work include descriptive analytics, data query scripting, data analysis, data engineering, visualizations, and forecasting.
Other responsibilities:
Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data. 
Has basic expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches. 
Executes analytical procedures in the framework of a specific project work request.
Modifies scripts or software applications to support data management, data extraction and data analysis as required.
Contributes to the interpretation of data analysis and to writing reports. 
May help customers understand the data set and provide training and suggestions for improvement on the data request.
Leverages communication and interpersonal skills and works with subject matter experts
Presents findings in easy to understand terms for the business or clinical practice.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Bachelor's degree in a domain-relevant field such as engineering, mathematics, computer science, statistics, physics, data science, health science, or other analytical/quantitative field. Ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques, is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) is required. Incumbent must stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and a commitment to customer service.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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