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Data Automation Jobs in Minnesota (NOW HIRING)

skywater

Industrial Staff Engineer

Minneapolis, MN · On-site

$73K - $98K/yr

The I.E. will support capacity planning, on-time delivery, data automation, decision science, manufacturing execution, and strategic planning for the factory. Key Responsibilities: * Utilize data ...

Huntington

Automation Engineer Senior

Minnetonka, MN · On-site +1

$124K - $154K/yr

Automation Engineer Senior Organization Name : The Huntington National Bank Department Description ... Validatingsource-to-target data mappings, transformations, and aggregations for large-scale ...

SOFIDEL

Automation Technician

Duluth, MN · On-site

$41K/yr

Collect PLC input and output data to monitor the efficiency of equipment to assist in the ... Strong automation controls background is preferred - AB/Rockwell DC Drive; AB/Rockwell PLC ...

Sofidel

Automation Technician

Duluth, MN · On-site

$35 - $40/hr

Collect PLC input and output data to monitor the efficiency of equipment to assist in the ... Strong automation controls background is preferred - AB/Rockwell DC Drive; AB/Rockwell PLC ...

Sofidel

Automation Technician

Duluth, MN · On-site

$35 - $40/hr

Collect PLC input and output data to monitor the efficiency of equipment to assist in the ... Strong automation controls background is preferred - AB/Rockwell DC Drive; AB/Rockwell PLC ...

Software Technology Inc

Automation QA

Minneapolis, MN · On-site

Sr. Test Automation Engineer Responsibilities: Assist Test Automation Lead in defining automation ... Data validation. 5+ years of experience in Microsoft Visual Studio or any other IDE. 5+ Years of ...

Mesabi Metallics Company LLC

Automation Engineer

Nashwauk, MN · On-site

$110K - $120K/yr

Implement process improvements using automation and data-driven solutions * Ensure systems comply with safety, quality, and regulatory requirements * Train operations and maintenance personnel on ...

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Data Automation information

What is data automation?

Data automation in a job context involves using software tools and scripts to automatically collect, process, and manage data, reducing manual effort and increasing efficiency. Data automation specialists often work with programming languages, databases, and automation platforms to streamline data workflows and ensure accuracy.

What are typical responsibilities of a Data Automation professional on a day-to-day basis?

Data Automation professionals are responsible for designing, developing, and maintaining automated workflows that process, cleanse, and move large sets of data across various platforms. On a daily basis, they may create scripts, monitor data pipelines, troubleshoot integration issues, and optimize processes for better efficiency. They frequently collaborate with data analysts, engineers, and business teams to ensure that automated systems align with company goals and provide accurate, timely data. This dynamic environment allows for continuous learning and contributes significantly to data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive in the Data Automation position, and why are they important?

To excel in Data Automation, you generally need strong analytical skills, fluency with data manipulation, and a background in computer science, data engineering, or a related field. Familiarity with tools such as Python, SQL, ETL platforms, and automation frameworks, as well as relevant certifications like Certified Data Professional (CDP), is highly valued. Problem-solving abilities, attention to detail, and effective collaboration are essential soft skills for this role. These qualifications enable professionals to efficiently streamline data processes, reduce manual errors, and deliver reliable, scalable solutions for business intelligence.

What is a Data Automation job?

A Data Automation job involves designing, developing, and maintaining automated systems to collect, process, and analyze data efficiently. Professionals in this role use programming, scripting, and data integration tools to streamline workflows and reduce manual effort. They work with databases, ETL processes, APIs, and automation frameworks to ensure data accuracy and accessibility. The goal is to improve efficiency, reduce errors, and enable data-driven decision-making. This role is common in industries such as finance, healthcare, e-commerce, and technology.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer roles, which often require advanced skills in data architecture, leadership, and experience with tools like cloud platforms and big data technologies. These positions can offer salaries exceeding $150,000 annually, depending on industry and location.

Is AI automation a good career?

AI automation is a growing field with increasing demand for professionals skilled in data automation, machine learning, and programming. Careers in this area often require knowledge of tools like Python, R, and automation platforms, and can offer opportunities in various industries such as finance, healthcare, and technology. It is considered a promising career path due to ongoing technological advancements and the expanding role of AI in business processes.
What are popular job titles related to Data Automation jobs in Minnesota? For Data Automation jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Automation jobs in Minnesota look for? The top searched job categories for Data Automation jobs in Minnesota are:
Data Automation jobs near you
Infographic showing various Data Automation job openings in Minnesota as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Industrial Staff Engineer

skywater

Minneapolis, MN • On-site

$73K - $98K/yr

Other

Posted 20 days ago

Job description

The SkyWater Industrial Staff Engineer will use various modeling techniques, data analytics tools, statistical methods, and planning concepts to ensure timely decision making, fab efficiency and customer satisfaction. The I.E. will support capacity planning, on-time delivery, data automation, decision science, manufacturing execution, and strategic planning for the factory.

Key Responsibilities:

  • Utilize data analytics and statistical methods to communicate information that supports factory decision making.
  • Work with cross functional teams to improve Overall Equipment Effectiveness (OEE), Cycle Time, and bottleneck tool efficiency.
  • Functional area ownership for capacity modeling and fab improvement projects.
  • Support customer commits and on time performance.
  • Support Operations by setting factory metrics and prioritizing improvements across all shifts.
  • On-floor presence to remove operational and tactical constraints in the factory.
  • Justify Capital expenditures to meet capacity, development, and factory growth needs.
  • Develop and improve business processes that support I.E. and planning.

Required Qualifications:

  • Requires 5+ years experience with BS, 3+ years of experience with MS in Industrial Engineering or related degree. Will consider equivalent experience in lieu of a degree.
  • Demonstrated experience using various modeling techniques, statistical methods and planning tools used in Manufacturing Science and Production Control. 
  • Experience with Capacity Modeling and functional area ownership to support OEE and Cycle Time improvements.
  • Experience with Microsoft Office
  • Experience with SQL/Linux scripting
  • Statistical software – JMP, Minitab, etc.
  • U.S. Person Required: This position requires compliance with the International Traffic in Arms Regulations (ITAR). All accepted applicants must be U.S. Persons. ITAR defines a U.S. Person as U.S. citizen, U.S. Permanent Resident, Political Asylee, or Refugee. 

Preferred Qualifications:

  • 3-6 years semiconductor experience preferred
  • Data Mining & Analytics using ETL software (Extract, Transform, Load) – SQL, APF, Talend, Google Big Query, Oracle, etc.
  • Advanced Simulation Modeling
  • Real Time Dispatching

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