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Associate Data Engineering Jobs in Minnesota (NOW HIRING)

Apex Engineering Group

Engineering Technician

Hopkins, MN · On-site

$24 - $34/hr

Document construction progress and quantities in field diaries and input data into automated ... A 2-year Associates Degree in Engineering Technology or a Technical Degree in Drafting is highly ...

Apex Engineering Group

Engineering Technician

Hopkins, MN · On-site

$24 - $34/hr

Document construction progress and quantities in field diaries and input data into automated ... A 2-year Associates Degree in Engineering Technology or a Technical Degree in Drafting is highly ...

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Minnesota

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
Principal AI Engineer

Principal AI Engineer

Blue Cross and Blue Shield of Minnesota

Eagan, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Key responsibilities

  • Build, deploy, and optimize LLM-based, multimodal, and predictive AI models.

  • Oversee AI system integration with enterprise platforms, cloud services, APIs, and data pipelines.

  • Ensure AI solutions meet regulatory and internal governance requirements.

Blue Cross Blue Shield Of Minnesota rating

5.3

Company rating: 5.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

253rd of 263 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 Blue Shield of Minnesota is hiring a Principal AI Engineer. In this role, you will serve as a technical lead driving the development, deployment, and evolution of enterprise-grade AI and machine learning solutions. You will partner closely with data science, engineering, cloud, product, and business teams to deliver scalable, production-ready AI capabilities that solve complex business problems, streamline operations, and elevate customer and clinician experiences. This role requires deep hands-on engineering expertise, and the ability to guide the full lifecycle of AI solutions-from concept through operationalization.
The ideal candidate is a hands-on Principal-level AI Engineer with extensive experience building, deploying, and operating enterprise-grade AI and machine learning solutions in production. They bring deep expertise in generative AI, large language models, NLP, and multimodal systems, along with strong proficiency in Python or similar languages and modern ML frameworks such as PyTorch or TensorFlow. This individual has a proven ability to architect and operationalize AI solutions in cloud environments like AWS, Azure, or GCP using modern MLOps, CI/CD, containerization, and monitoring practices. They think holistically about AI systems, ensuring seamless integration with enterprise platforms while maintaining high standards for security, governance, and quality. Strong communication skills, cross-functional collaboration, and a passion for mentoring other engineers are essential, with experience in regulated environments such as healthcare strongly preferred.
Your Responsibilities
Advanced Solution Development
  • Build, deploy, and optimize LLM-based, multimodal, and predictive AI models.
  • Develop intelligent automation to streamline workflows and reduce operational friction.
  • Implement NLP, conversational AI, and real-time generative systems across modalities.

AI System Integration & Full-Stack Engineering
  • Oversee AI system integration with enterprise platforms, cloud services, APIs, and data pipelines.
  • Architect and maintain production-grade ML infrastructure, including CI/CD and monitoring.
  • Operationalize AI/ML models in cloud environments such as AWS, Azure, or GCP.

Governance, Quality & Compliance
  • Ensure AI solutions meet regulatory and internal governance requirements.
  • Implement comprehensive testing frameworks across all system layers.

Collaboration & Mentorship
  • Partner with cross-functional teams to deliver robust, production-ready AI solutions.
  • Mentor engineers in AI architecture, cloud engineering, and advanced model integration.
  • Provide technical mentorship in prompt engineering, fine-tuning, and responsible AI practices.

Required Skills and Experience
  • 8+ years of professional experience in data engineering, machine learning engineering, software engineering, or related fields. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • 5+ years of experience deploying and maintaining ML/AI models in production at enterprise scale.
  • Advanced proficiency in Python, Scala, or comparable languages.
  • Expertise with cloud architectures (AWS, Azure, GCP), including ML-focused services (e.g., SageMaker, AzureML).
  • Strong experience with orchestration and containerization tools such as Kubernetes, Docker, Airflow, etc.
  • Deep understanding of machine learning algorithms, deep learning frameworks (PyTorch, TensorFlow), and NLP technologies.
  • Demonstrated experience with generative AI, multimodal systems, LLM fine-tuning, and prompt engineering.
  • Strong SQL and experience with cloud-native data ecosystems.
  • Proven ability to architect, deploy, and monitor complex AI/ML solutions in production.
  • Excellent communication, collaboration, and technical leadership skills.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.

Preferred Skills and Experience
  • Advanced degree in Computer Science, AI, Data Science, Engineering, or a related field.
  • Experience in healthcare, health services, or insurance.
  • Expertise in RAG pipelines, vector databases, and enterprise knowledge systems.
  • Experience with real-time streaming systems, edge AI, or high-performance model serving.
  • Background in full-stack engineering incorporating AI-driven user experiences.
  • Professional certifications in cloud architectures or ML/AI technologies.

Role Designation
Teleworker
Role designation definition: Teleworking is working full time remote. Hybrid is a minimum of 2 days onsite. Onsite is full-time onsite.
Compensation and Benefits
$152,900.00 - $210,300.00 - $267,700.00 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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