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Data Processing Jobs in Minneapolis, MN (NOW HIRING)

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Remote

Minnetonka, MN · On-site +1

$116K - $140K/yr

Utilize the Medallion (Bronze/Silver/Gold) architecture principles to organize data processing stages. Establish raw data capture (bronze), perform cleansing and transformations (silver), and curate ...

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Experience with Python or other scripting languages for data processing. * * Proficiency in DevOps and CI/CD practices using GitActions. * * Experience with Agile methodologies. * * Excellent problem ...

Manage Record of Processing Activities (ROPAs) and data inventories for region (processing activities, systems, vendors, data flows) to keep global records accurate within our Data Privacy system ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Design infrastructure to support emerging AI and process automation initiatives, ensuring data is structured and governed for machine learning applications across the technology stack. * Participate ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Design infrastructure to support emerging AI and process automation initiatives, ensuring data is structured and governed for machine learning applications across the technology stack. * Participate ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

Expert in data processing tools, like Apache's Sqoop, Spark and Hive * Expert in Document or NoSQL datastores, particularly MongoDB * Expert in Power BI data models using advanced Power Query and DAX

Data Engineer Senior

Bloomington, MN · On-site

$51.85 - $77.77/hr

Expert in data processing tools, like Apache's Sqoop, Spark and Hive * Expert in Document or NoSQL datastores, particularly MongoDB * Expert in Power BI data models using advanced Power Query and DAX

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Expert in data processing tools, like Apache's Sqoop, Spark and Hive * Expert in Document or NoSQL datastores, particularly MongoDB * Expert in Power BI data models using advanced Power Query and DAX

Showing results 21-40

Data Processing information

See Minneapolis, MN salary details

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How much do data processing jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data processing in Minneapolis, MN is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.32 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

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

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the most commonly searched types of Data Processing jobs in Minneapolis, MN?

The most popular types of Data Processing jobs in Minneapolis, MN are:

Infographic showing various Data Processing job openings in Minneapolis, MN as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $43,999 per year, or $21.2 per hour.

Lead Data Engineer - Finance Technology (Hadoop, PySpark, Scala/Java)

Target Corporation

Brooklyn Park, MN • On-site

$132K - $238K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,990 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $132,000.00 - $238,000.00
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at ;br>
JOIN TARGET AS A LEAD DATA ENGINEER - FINANCE TECHNOLOGY SOLUTIONS
About Us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
About the Team:
Finance Technology within Core Retail Services powers the financial backbone of Target's enterprise operations. We build and support platforms that enable critical business capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls. Our financial reporting platform brings these data domains together to deliver near real-time insights, enabling accurate financial reporting and faster, data-driven decision-making. Join our global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers who are striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source technologies to build best-in-class solutions for our team members and guests.
About the Role:
As a Lead Data Engineer, you will serve as the technical lead for the engineering team, designing and developing scalable, high-performance data solutions. You will drive the evolution of our data architecture, ensuring it meets both functional and non-functional business requirements while delivering reliability, efficiency, and scalability. Your expertise in big data technologies, distributed systems, and cloud platforms will help shape the engineering roadmap and establish best practices for data processing, analytics, and real-time data services. You will play a key role in architecting and optimizing data pipelines using Hadoop, Spark, Scala/Java, and cloud technologies to support enterprise-wide data initiatives.
Key Responsibilities
  • Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, Google Cloud Platform, or Azure)
  • Design and implement real-time and batch data processing solutions, ensuring data is efficiently processed and readily available for analytical and operational use
  • Develop APIs and data services that provide low-latency, high-throughput access to data for downstream applications, enabling real-time decision-making
  • Optimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost efficiency
  • Drive data governance, security, and compliance best practices
  • Collaborate with product teams and business stakeholders to understand requirements and deliver data-driven solutions
  • Lead the design, implementation, and lifecycle management of data services and platforms
  • Stay current with emerging technologies and promote the adoption of best practices in big data engineering, cloud computing, and API development
  • Provide technical leadership and mentor engineers to foster engineering excellence and best practices

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About You
  • BS or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
  • 7plus years of experience in data engineering, software development, or distributed systems
  • Expertise in Big Data technologies such as Hadoop, Spark, and distributed processing frameworks
  • Strong programming skills in PySpark, Scala, and/or Java
  • Experience with cloud platforms (AWS, Google Cloud Platform, or Azure) and associated data services (e.g. S3, BigQuery, Databricks, EMR, Snowflake)
  • Proficiency in API development using REST, GraphQL, or gRPC to support real-time and batch data access
  • Experience with real-time and streaming data architectures like Kafka, Flink or Kinesis
  • Strong knowledge of data modeling, ETL pipeline design and performance optimization
  • Understanding of data governance, security, and compliance in large-scale data environments
  • Strong problem-solving skills and the ability to thrive in complex, evolving environments
  • Excellent communication and collaboration skills, with experience working across cross-functional teams

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: _E
Americans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/20/2026

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US