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Associate Data Engineering Jobs in Minnesota (NOW HIRING)

Andersen

Data Analyst II

Cottage Grove, MN

$90K - $139K/yr

Programming Basics:Exposure toscripting languagessuch asSQLfor data manipulation and automation ... May provide work direction to associate analyst or cross functional support team members. Minimum ...

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Securian Financial

Senior AI Engineer (Hybrid)

Saint Paul, MN · Hybrid

$105K - $145K/yr

... Science, Data Engineering, and the Artificial Intelligence Center of Excellence (AICoE). These ... Your work ensures associates across Securian have the right platforms and guardrails to develop ...

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 does an associate data engineer do?

An associate data engineer supports data collection, processing, and storage by developing and maintaining data pipelines and workflows. They often work with tools like SQL, Python, and cloud platforms, and may assist in data quality and integration tasks under the supervision of senior engineers.

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 engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation often involves leadership roles, specialized knowledge, or working in high-demand industries such as finance or technology. Achieving this level typically requires a combination of technical proficiency, certifications, and strategic career development.

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.

Can I make 200K as a data engineer?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries around or above $200,000 annually. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, certifications, and industry demand.

What engineers make 200,000 a year?

Senior data engineers and specialized software engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High salaries are common in competitive markets and large organizations that require complex data infrastructure and engineering expertise.
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 Vehicle Data Analyst

Bosch Group

Owatonna, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Company Description
At Bosch Mobility Aftermarket, we believe in creating a work culture that embodies our core values of grow, enjoy, and inspire. Our Mobility Aftermarket division provides diagnostic and repair shop equipment, spare parts, and repair solutions for passenger cars and commercial vehicles worldwide. Our Automotive Service Solutions operations supply testing and repair-shop technology, diagnostic software, service training, and information services.
As a member of our team, you will have the opportunity to grow your skills and knowledge while working with cutting-edge technology. We want you to enjoy what you do and feel inspired to contribute your best to our customers and to the growth of our business. We believe that by cultivating a work environment that encourages personal and professional growth, enjoyment, and inspiration, we can achieve great things together.
Join us at Bosch Mobility Aftermarket and help us shape the future of mobility!
Job Description
We are seeking a highly motivated and analytical individual to join our team as an Associate Vehicle Data Analyst.
This role is ideal for someone who enjoys working with data, investigating complex problems, identifying patterns, and transforming information into actionable insights. The successful candidate will play a key role in improving the quality, coverage, and performance of our vehicle diagnostic solutions for major North American automotive brands.
As an Associate Vehicle Data Analyst, you will leverage vehicle diagnostic data, service information, customer feedback, and product performance metrics to identify opportunities for improvement, uncover root causes of issues, and support strategic product decisions. You will work closely with software developers, validation teams, content authors, and global engineering organizations to ensure our products meet the highest standards of quality and customer satisfaction.
Success in this role requires a combination of analytical thinking, technical curiosity, automotive knowledge, and a passion for continuous learning.
Core Responsibilities:
Data Analysis & Investigation
  • Analyze vehicle diagnostic data, validation results, quality metrics, and customer feedback to identify trends, anomalies, and improvement opportunities.
  • Perform root-cause investigations to determine underlying causes of product quality issues and coverage gaps.
  • Research and interpret OEM service information, repair procedures, and vehicle system documentation to support product development and validation activities.
  • Develop data-driven recommendations to improve product quality, reliability, and customer experience.
  • Convert large volumes of technical and diagnostic information into actionable insights for engineering and business teams.

Product & Validation Support
  • Support the development and maintenance of vehicle coverage strategies for assigned automotive brands and vehicle platforms.
  • Collaborate with validation teams to define test coverage priorities and ensure critical vehicle systems are adequately validated.
  • Participate in the investigation and resolution of quality issues, Open Point Lists (OPLs), and customer-reported concerns.
  • Monitor product performance and customer usage data to help prioritize future development efforts.

Cross-Functional Collaboration
  • Work closely with software developers, content authors, validation engineers, and global engineering teams.
  • Communicate technical findings clearly to both technical and non-technical stakeholders.
  • Support continuous improvement initiatives through data analysis and evidence-based decision making.
  • Contribute to the development of best practices, analytical methodologies, and reporting capabilities.

Qualifications:
Education
  • Bachelor's degree in data Analytics, Data Science, Computer Science, Information Systems, Engineering, Automotive Technology, Mathematics, Statistics, or a related technical field preferred.
  • Equivalent combination of education and relevant experience will be considered.

Technical Skills
  • Basic knowledge of SQL, relational databases, data analysis tools, or similar technologies.
  • Strong ability to analyze, organize, and interpret data to support decision making.
  • Proficiency with Microsoft Excel and other analytical software tools.
  • Experience with data visualization, reporting tools, or dashboard development is a plus.
  • Familiarity with Python, Power BI, or similar analytical tools is a plus.

Automotive Knowledge
  • Understanding of vehicle diagnostics, automotive systems, and repair processes.
  • Ability to research and interpret OEM service information and technical documentation.
  • Experience in automotive service, diagnostics, dealership operations, validation, or related automotive fields is a strong plus.
  • Familiarity with ADAS, electronic vehicle systems, and modern vehicle architectures is beneficial.

Professional Attributes
  • Strong analytical mindset and passion for problem solving.
  • Curiosity and persistence in researching complex technical issues.
  • Excellent critical thinking and root-cause analysis skills.
  • Detail-oriented with a commitment to high-quality work.
  • Strong written and verbal communication skills.
  • Self-motivated learner with the ability to quickly acquire new technical knowledge.
  • Ability to work effectively in a collaborative, cross-functional environment.

Additional Requirements
  • Daily local travel required; valid driver's license required (company vehicle provided).
  • ASE Certification is a plus but not required.

Qualifications
ndefinite U.S. work authorized individuals only. Future sponsorship for work authorization not available.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Equal Opportunity Employer, including disability / veterans.
The U.S. base salary range for this full-time position is $76,000 - $85,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc.
In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement & Bosch Defined Contribution plan with an attractive employer match; wellness programs; life insurance; short and long term disability insurance; paid time off; parental leave, adoption assistance; and reimbursement of education expenses. Learn more about our full benefits offerings by visiting: https://www.myboschbenefits.com/public/welcome. Pay ranges included in the postings generally reflect base salary; certain positions may include bonus, commission, or additional benefits.

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