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Data Extraction Jobs in Minnesota (NOW HIRING)

Daikin Applied

Data Scientist III

Plymouth, MN · On-site

Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs * Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business ...

Daikinapplied

Data Engineer III

Minneapolis, MN

$90K - $153K/yr

Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs * Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business ...

Deloitte

M&A Data Analytics Manager

Minneapolis, MN · On-site

Experience in ETL tools for data extraction and manipulation (e.g., Alteryx, etc.) * Experience designing and storytelling via data visualization (e.g., Tableau, Power BI, Excel Charts, etc.

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · On-site

$91K - $163K/yr

Work with large and complex datasets for data extraction, transformation, and analysis * Present results and recommendations to business partners You'll be rewarded and recognized for your ...

UnitedHealth Group

Senior Data Scientist

Minnetonka, MN · Remote

$91K - $163K/yr

Work with large and complex datasets for data extraction, transformation, and analysis * Present results and recommendations to business partners You'll be rewarded and recognized for your ...

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All JobsData Extraction JobsData Extraction Jobs in Minnesota

Data Extraction information

See Minnesota salary details

$11

$27

$67

How much do data extraction jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data extraction in Minnesota is $27.38, according to ZipRecruiter salary data. Most workers in this role earn between $14.71 and $30.36 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are popular job titles related to Data Extraction jobs in Minnesota?

For Data Extraction jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Minnesota look for?

The top searched job categories for Data Extraction jobs in Minnesota are:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Minnesota as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $56,950 per year, or $27.4 per hour.

Data Scientist III

Daikin Applied

Plymouth, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!
Data Scientist III - Plymouth, MN - Onsite
Daikin Applied is seeking a Data Scientist III who will be the key analytics expert in an R&D laboratory that evaluates the performance of new HVAC products and technologies. As the primary technical lead for lab data systems, you will be influential in creating a strategic vision for and providing insights from the laboratory analytics and data.
Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!
Location: Onsite, Plymouth, MN
Your Responsibilities:
  • Develop data automation strategy and roadmap aligned with Digital, Quality, and Engineering teams for enhanced data insights and automation
  • Develop, improve, and publish existing dashboards that track key performance indicators (KPIs) for laboratory operation, identify trends, and support data-driven decision-making for laboratory and quality activities
  • Write, validate, and maintain scripts and queries to automate data collection, standardize formats, and reduce manual reporting effort
  • Create machine learning (ML) models and statistical models to discover trends and detect anomalies in laboratory test data Adapt existing work with changing laboratory and digital softwares
  • Collaborate with Test Engineering, Quality, and Digital teams
  • Maintain and create documentation related to scripts, models, and dashboards
  • Share expertise and provide training to build the competencies of data quality and analytics skills to peers

Your Qualifications:
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • 5+ years (or 3+ years with a masters) of professional experience in analytics, data science, or a related field
  • Proficiency in Python and SQL for data extraction, transformation, automation, and analysis or equivalent programs
  • Proficiency in Power BI Desktop and Power BI Cloud Services or equivalent business intelligence/data visualization tools
  • Proficient in MS Power Apps and MS Office
  • Experience with databases including data collection, transformation, and storage
  • Experience in creating machine learning (ML) models, statistical models, and anomaly detection
  • Strong verbal/written communication and collaboration skills
  • Ability to multitask

Your Preferred Qualifications:
  • Master's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field
  • Experience in R&D lab, manufacturing, or operations work environment

Your Benefits:
Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:
  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

Work visa sponsorship is not available for this position.
The typical annual base salary for this position ranges from $90,000 - $153,300 in Minnesota plus a 10% bonus. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.
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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!

Apply