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Data Extraction Jobs in Minnesota (NOW HIRING)

SV Tech Systems Inc

Sr. ETL Data Developer

Eden Prairie, MN · On-site

$52 - $68/hr

Senior ETL Data Designer 7777 Golden Triangle Drive, Eden Prairie, MN 55344 Contract Contract opportunity for an ETL Data Developer consultant to work in the Eden Prairie office building as part of ...

Target

Lead Data Analyst - Stores SPIDA

Minneapolis, MN · On-site

$115K - $206K/yr

Build and maintain robust database architectures, ensuring accuracy and efficiency in data extraction, transformation, and loading processes * Stay up-to-date with new and evolving technologies ...

New

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step Function, Athena, DMS, Storage Gateway, flavors of RDS). * Strong SQL ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119.50K - $143.50K/yr

Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step Function, Athena, DMS, Storage Gateway, flavors of RDS). * Strong SQL ...

Wipro Limited

SOLUTION ARCHITECT L1

Minneapolis, MN · On-site

$80K - $158K/yr

Lead SAP BODS data integration and ETL workstreams across multiple projects. * Act as the primary point of contact for business and technical stakeholders. * Drive estimations, planning, execution ...

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Data Extraction information

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$11

$27

$67

How much do data extraction jobs pay per hour?

As of May 29, 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 is a Data Extraction job?

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 the key skills and qualifications needed to thrive in the Data Extraction position, 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 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.
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Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Minnesota as of May 2026, with employment types broken down into 79% Full Time, 2% Part Time, and 19% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $56,950 per year, or $27.4 per hour.
Sr. Data Analyst (Human Capital) | TELECOMMUTE

Sr. Data Analyst (Human Capital) | TELECOMMUTE

TriOptus LLC

Minneapolis, MN • On-site, Remote

$89.80K - $113.30K/yr

Contractor

Posted 7 days ago

Job description

100% telecommute
Hours: Regular day working hours with some flexibility, but must be available for most of Central Time working hours with a heavier focus on availability in the mornings
Project:
  • Working with customers to design data extracts based on their reporting needs
  • Collaborating with Data Engineers on the data exports required from data pipelines
  • Analyzing data and combining datasets to develop reporting products/solutions

Team:
  • We are a team of 9 Data Engineers and Analysts + Engineering Managers/Leaders
  • We have 1 product owner on the team and work with several others directly
  • We have a Scrum Master aligned as well

Responsibilities:
  • Be a key or core resource for complex issues, data discrepancies, and fire drills
  • Assesses and interprets customer requests for feasibility, priority, and complexity and documents and delegates those requests within an agile/intake tool
  • Consult with People Analytics and People Analytics team for developing and building prioritized and standard solutions.
  • Develop innovative solutions for both structured and unstructured data
  • Create and maintain internal process documentation and customer-facing help documents
  • Lead projects and change initiatives aligned to key priorities of People Analytics and People Analytics customers
  • Understands priorities and organizes prescribed and non-prescribed work to meet or exceed deadlines and expectations
  • Deeply understand and innovate underlying data structures of standard reporting (complex join criteria, table sources, data types, data definitions, dataflows) and be able to find, validate, combine, and export raw and derived data assets.
  • Execute intermediate programming and/or scripting in at least one of our core technologies to build applications.
  • Leads functional calls for technical subjects (like weekly calls with data management or tech teams)
  • Leads data validation efforts and leads data optimization solutions by requesting changes to core solutions in our data lake
  • Reviews work of others and provides guidance on execution, best practices, and areas for improvement
  • Works with minimal guidance; seeks guidance on only the most complex tasks
  • Proactively keep data secure and decommission legacy content in our environment
  • Sought out as an expert within the People Analytics community and works cross-functionally across the team/community for shared or advanced solutions
  • Serves as a leader and mentor to analysts in lower grade levels
  • Coaches, provides feedback, and guides others within the People Analytics community

Ideal Background: Ideal candidate would have experience in the Human Capital space, working with data from Human Capital systems
Required Qualifications:
  • Undergraduate degree or equivalent experience
  • 4+ years of experience with Human Capital/People Teams, business or financial analysis, etc.
  • 4+ years of experience analyzing data and combining datasets to develop reporting products/solutions
  • 3+ years of experience building dashboards and visualizations in a data visualization tool such as Domo, Tableau, QlikView, PowerBI or similar Business Intelligence platform
  • Advanced level of experience in ETL for visualization tools: complex formulas, complex inner and outer joins, reformatting and manipulating data, etc.
  • Intermediate level of experience in SQL/HiveQL: counts, select statements, filters, groupings, etc.
  • Experience communicating both verbally/written with people at a wide variety of levels in an organization
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Knowledge of JavaScript, CSS (Cascading Style Sheets), and HTML

Preferred Qualifications:
  • Experience in data extraction, manipulation, and management
  • Experience researching issues, investigating data accuracy, and performing quality checks
  • Project Management skills
  • Ability to work independently and collaborate effectively with others
  • Experience creating user stories using the "As a (role), I want (function) so that (business value)" methodology
  • Basic understanding of statistical methodologies and measurements
  • Experience leading people (directly or indirectly) or large-scale projects
  • 1+ years in an agile environment or with agile tools such as Rally or Swift

Required Skills : Data Analysis
Basic Qualification :
Additional Skills : Data Analyst
This is a high PRIORITY requisition. This is a PROACTIVE requisition
Background Check : No
Drug Screen : No

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