1

Associate Data Engineering Jobs in Minnesota (NOW HIRING)

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/hr

With engineers employed in nearly every major department, engineering is in our DNA. Banner is a ... Position Summary The Associate Data Analyst is a member of Banner Engineering's Data Team ...

New

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.

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 ...

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

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 ...

Senior Data Engineer

Rochester, MN · On-site

$103K - $140K/yr

OR an Associate's degree in a relevant field such as engineering, mathematics, computer science ... Experience with big data, statistics, and machine learning is required. The ability to navigate ...

next page

Showing results 1-20

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 Analyst

Associate Data Analyst

Banner Engineering

Minneapolis, MN • On-site

$56K - $77K/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Banner Engineering rating

8.2

Company rating: 8.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

106th of 430 rated machine equipment manufacturers


Job description

Why Work at Banner?

For over 50 years, Banner Engineering has been at the forefront of industrial automation. We offer products and solutions including award-winning sensors, wireless solutions, machine safety, indication and LED lighting. With engineers employed in nearly every major department, engineering is in our DNA.

Banner is a rapidly growing company that offers many personal development opportunities, an excellent benefits package, and a collaborative team of employees who are passionate about what they do.

Position Summary

The Associate Data Analyst is a member of Banner Engineering's Data Team, supporting the organization's business intelligence, analytics, and enterprise data management initiatives. This role develops analytical solutions that improve decision-making, strengthen data quality, and help ensure business data is accurate, accessible, and trusted across the organization.

What You’ll Be Doing

This is an excellent opportunity for someone who enjoys solving complex business problems, working collaboratively across teams, and using data to drive better business decisions. The Associate Data Analyst will work on a variety of business intelligence, analytics, and enterprise data management initiatives while partnering with stakeholders throughout the organization to develop meaningful, data-driven solutions.

Key Responsibilities

Business Intelligence & Analytics

  • Design, develop, and maintain business intelligence applications and dashboards using Qlik to support data-driven decision-making across the organization.
  • Partner with business stakeholders to understand business processes, gather requirements, and translate business needs into analytical solutions.
  • Develop and maintain data models, visualizations, and reporting solutions that improve the accessibility and usability of enterprise data.

Enterprise Data Management

  • Develop and enhance automated data quality processes that improve the accuracy, consistency, and reliability of enterprise data.
  • Investigate data issues, perform root cause analysis, and collaborate with business stakeholders and IT to implement long-term solutions.
  • Support data governance initiatives through documentation, business glossaries, data definitions, and enterprise data standards.

Enterprise Data Support

  • Support Banner's ePlan data portal, including user support, issue resolution, and ongoing enhancements.
  • Develop SQL queries to support ad hoc reporting, data validation, troubleshooting, and business requests.

Continuous Improvement

  • Identify opportunities to improve reporting, analytics, business processes, and data management practices across the organization.
  • Contribute to a collaborative Data Team environment by sharing knowledge, documenting processes, and supporting team initiatives.

Pay and Benefits

Banner Engineering is committed to offering competitive pay and benefits, including, but not limited to:

  • 401(k) with match
  • Student Loan 401(k) match program
  • Medical, Dental, and Vision Insurance Plans
  • HSA (Health Savings Account) with company contribution
  • Paid Time Off (PTO)
  • Sales and Profit Sharing Eligibility
  • Flexible work hours
  • Life Insurance
  • Paid Parental Leave
  • Pet Insurance
  • Tuition Reimbursement

Base Pay Range: $56,419 - $77,575

The estimated range is the budgeted amount for this position. Final offers are based on various factors, including skill set, experience, location, qualifications and other job-related reasons.

What You Bring to the Table

To perform this job successfully, you must be able to perform each essential duty satisfactorily, and regular attendance is required. The requirements listed below are representative of the knowledge, skill, and/or ability required to perform this job.

Required

  • Bachelor’s degree in Computer Science, Management Information Systems (MIS), Business Analytics, Data Analytics, or a related field, or an equivalent combination of education and relevant experience.
  • 1–3 years of experience in business intelligence, data analytics, data quality, data management, or a related field, including relevant internship or co-op experience.
  • Strong analytical and problem-solving skills with the ability to investigate issues, identify root causes, and develop effective solutions.
  • Basic experience writing SQL queries and working with relational databases.
  • Demonstrated ability and desire to learn new technologies, understand business processes, explore data, and continuously learn new technologies and analytical techniques
  • Strong written and verbal communication skills, with the ability to work effectively with both technical and non-technical stakeholders.

Preferred

  • Experience developing business intelligence applications or dashboards using Qlik.
  • Experience with enterprise data quality or data management concepts.
  • Experience working with ERP systems or enterprise business data.
  • Familiarity with data governance concepts, business glossaries, or metadata management.
  • Strong organizational skills with the ability to manage multiple priorities in a collaborative environment.
  • High attention to detail and a commitment to producing accurate, reliable work.

Supervisory Responsibilities

  • This position has no direct supervisory responsibilities.

What to Expect at Work

Physical Demands

The physical demands described here must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to support individuals with disabilities.

  • Sit for up to 8 hours per day.
  • Continuous movement, walking, or standing.
  • Exposed to a computer screen for extended periods
  • May require repetitive motions such as utilize a computer mouse, keyboard, computer, and other standard office equipment.
  • Communicate with others frequently.

Working Environment

The work environment characteristics described here are representative of those you may encounter while performing the essential functions of this job.

  • Corporate office environment – indoor and climate-controlled

Core Values

Customer Driven, Accountability Focused, Integrity Always, New Solutions – Every Day

If you excel in a dynamic, collaborative environment and are looking for meaningful challenges and opportunities to grow, you’ll find a great fit here. Banner Engineering is a premier employer headquartered in MN, offering competitive compensation, comprehensive benefits, and opportunities for professional development as we rapidly grow in the Industrial Automation industry.

Banner Engineering is an equal opportunity employer that considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, national origin, disability, or protected veteran status.

Affirmative Action (AA)/Equal Opportunity Employer (EOE) M/F/D/V

This job description reflects management’s assignment of key responsibilities; it does not prescribe or restrict the tasks that may be assigned.


What Banner Engineering employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom