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

Associate Software Engineer

Minnetonka, MN · On-site

$30 - $35/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Associate Software Engineer Arizona On-Site Role $30 - $35 per hour ABOUT THE ROLE Our client is ... Exposure to complex healthcare systems and data, with opportunities to work on innovative AI and ...

US Tech - AI Engineering Senior Associate

Minneapolis, MN · On-site

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Project Engineer

Minneapolis, MN · On-site

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Since 1984, Krech Ojard & Associates Inc. (KOA) has provided comprehensive Engineering and ... Analyze data, prepare reports, and deliver presentations on proposed and ongoing projects to ...

Project Engineer

Minneapolis, MN · On-site

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Since 1984, Krech Ojard & Associates Inc. (KOA) has provided comprehensive Engineering and ... Analyze data, prepare reports, and deliver presentations on proposed and ongoing projects to ...

Showing results 41-60

Associate Data Engineer information

See Bloomington, MN salary details

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How much do associate data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for associate data engineer in Bloomington, MN is $18.83, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.05 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 Bloomington, MN?

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

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

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

Infographic showing various Associate Data Engineer job openings in Bloomington, MN as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,162 per year, or $18.8 per hour.

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago


Blue Cross Blue Shield Of Minnesota rating

7.1

Company rating: 7.1 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

250th of 310 rated insurance


Job description

About Blue Cross and Blue Shield of Minnesota

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.

The Impact You Will Have

Blue Cross and Blue Shield of Minnesota is looking for a Senior Data Scientist on our Methods Analytics team!

The Senior Data Scientist on the Identification & Stratification Method Analytics team leads the design, development, and continuous improvement of data-driven processes that identify and prioritize members for care management and utilization management programs. This role focuses on applying statistical and population health methodologies-rather than heavy technical engineering-to analyze member populations, uncover insights, and guide program targeting strategies.

This position is responsible for building and maintaining production identification and stratification workflows that run on a recurring cadence (daily, weekly, monthly) to support both internal care management teams and external vendor programs. The Senior Data Scientist collaborates closely with clinical, product, and analytics partners to refine existing methodologies, develop new identification approaches, and ensure alignment with evolving business and care delivery goals.

The ideal candidate brings a strong healthcare background-such as population health or epidemiology-with deep expertise in statistical analysis, experience working with care management or utilization management concepts, and a collaborative, problem-solving mindset.

Your Responsibilities

  • Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
  • Lead-by-example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
  • Work with business partners to convert ambiguous business problems in clear data science/ML specifications. Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
  • Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
  • Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
  • Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.

Required Skills and Experience

  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • Hands-on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time-series/sequence models, NLP, explainability methods, deep learning).
  • Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
  • Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
  • Experience crafting and communicating highly technical results to a diverse audience.
  • Comfortable working as part of a team and taking the lead.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.

Preferred Skills and Experience

  • Bachelor's degree.
  • Experience with health care data
  • Experience with AWS tools
  • Experience with version control (for example Git Version Control system)
  • Proficiency with Data Bricks or similar tools
Role DesignationHybrid

Anchored in Connection

Our hybrid approach is designed to balance flexibility with meaningful in-person connection and collaboration. We come together in the office two days each week - most teams designate at least one anchor day to ensure team interaction. These in-person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote.

Compensation and Benefits$90,800.00 - $120,300.00 - $149,800.00 Annual

Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.

We offer a comprehensive benefits package which may include:

  • Medical, dental, and vision insurance

  • Life insurance

  • 401k

  • Paid Time Off (PTO)

  • Volunteer Paid Time Off (VPTO)

  • And more

To discover more about what we have to offer, please review our benefits page.

Equal Employment Opportunity Statement

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an Affirmative Action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.

Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: talent.acquisition@bluecrossmn.com.

Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association.


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