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Data Processing Jobs in Minneapolis, MN (NOW HIRING)

Allianz

IT Data Architect Specialist_3003

Minneapolis, MN · On-site

$66.50 - $85.50/hr

Ensure adherence to industry standards and best practices in all processes, fostering innovation and efficiency in data management. Value Proposition: * Drive initiatives that enhance the value ...

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

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 ...

Pwc

AI & GenAI Data Scientist - Manager

Minneapolis, MN

$99K - $232K/yr

... Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Optimize data processes for performance, reliability, and cost-efficiency Required Skills * Programming: Python, SQL * Databases: Oracle, SQL Server * ETL/Data Tools: PySpark * Cloud: AWS - S3 ...

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Data Processing information

See Minneapolis, MN salary details

$12

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$36

How much do data processing jobs pay per hour?

As of Sep 3, 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:

What are popular job titles related to Data Processing jobs in Minneapolis, MN?

For Data Processing jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Data Processing jobs in Minneapolis, MN look for?

The top searched job categories for Data Processing jobs in Minneapolis, MN are:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $44,000 per year, or $21.2 per hour.

IT Data Architect Specialist_3003

Allianz

Minneapolis, MN • On-site

$66.50 - $85.50/hr

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

Allianz rating

9.3

Company rating: 9.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

18th of 315 rated insurance

Job description

The Data & Analytics Platforms Team (DAP) develops and runs central platforms and data products, which enable the Allianz Operating Entities (OEs) to generate value from data & analytics at scale. The major offering is the Allianz Data Platform (ADP) - a PaaS offering -, which comprises necessary capabilities to store, transfer and analyze data, as well as running data & analytics products. In addition, ADP also serves capabilities for ML (ops) and GenAI / Agentic AI use cases.
The Data Architect (hands on) will be responsible to shape the future ADP data offering (evaluate, design and implement technical platform capabilities), spanning data storage, data modeling, data integration, and analytics enablement. Moreover, they will advice local implementation teams how to best apply platform capabilities for effective / efficient local application built / use case implementation.
The candidate should bring a deep understanding of data architecture (data modeling, data warehousing, and data governance), market leading data platform solutions (e.g. Databricks) and modern data engineering technologies.
What you do (Hands on Data architect)
Data Platform Strategy:
  • Lead the migration of data workloads and data stores from on-premises infrastructure to MS Azure Cloud, ensuring alignment with Allianz's cloud strategy.
  • Design, build, and test data architectures in an enterprise setup to ensure efficient transfer and storage of large amounts of data, maintaining information accuracy and security during data transfers.
  • Stay updated with developments in data management, data platforms, and data engineering, providing guidance to cross-functional teams on data access and data integration, especially during major transfers, updates, or changes.

Architecture Design:
  • Develop and oversee data architecture designs that meet business requirements and strategic objectives. Ensure solutions are scalable, secure, and cost-effective.
  • Act as a thought leader and expert on data modeling, data integration, and Data Platform capabilities, advising customers and internal teams on the latest technology and valuable implementation strategies within Allianz.
  • Leverage data and analytics capabilities to create high-performing data services within the existing landscape, troubleshooting and solving technical issues with creativity and prior knowledge.

Stakeholder Engagement:
  • Collaborate with enterprise architects, area architects, and business requirement teams to ensure solutions meet business needs and strategic goals.

Technical Leadership:
  • Provide guidance and mentorship to junior architects and technical teams, fostering a culture of innovation and continuous improvement.
  • Serve as the Data architect subject-matter expert for the entire department, offering strategic insights and leadership.

Documentation and Compliance:
  • Ensure thorough documentation of architecture designs and processes, maintaining compliance with Allianz standards and policies.
  • Ensure adherence to industry standards and best practices in all processes, fostering innovation and efficiency in data management.

Value Proposition:
  • Drive initiatives that enhance the value proposition of Allianz's data solutions, focusing on expanding service capabilities and integrating new functionalities.
  • Vet data platform providers and third-party services to ensure high-quality offerings for storage, compute, and data processing, while creating standard operating procedures and policy documentation for data transfer and storage.

What you bring (Hands on Data architect)
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 8-10 years experience required with five years' experience as a Data Architect or similar role.
  • Deep understanding of data architecture concepts, data modeling techniques, and data platform frameworks, with proficiency in designing and implementing data solutions that align with business objectives using popular platforms like Azure, and AWS .
  • Knowledge of data platform engineering, data warehousing, and data lake / lakehouse design, with experience using major cloud computing services such as Microsoft Azure, Oracle Cloud Infrastructure (OCI), and Amazon Web Services (AWS).
  • Ability to design scalable and robust enterprise architectures that integrate data pipelines and data technologies into existing systems, identifying integration points and ensuring interoperability with other enterprise applications, databases, and services.
  • Strong data migration and data management skills, emphasizing data privacy and security, along with excellent problem-solving capabilities in a fast-paced work environment.
  • Strong communication skills and willingness to collaborate with cross-functional departments and teams.
  • Relevant industry certifications, such as Databricks, Microsoft Azure, or AWS, are highly desirable; proficiency in English is required.
  • Experience with hybrid cloud environments.
  • Familiarity with enterprise architecture and innovation strategies.
  • Ability to work collaboratively in a dynamic, cross-functional environment.
  • Knowledge of data governance, data quality, and metadata management

Preferred business domain:
  • Business knowledge of Life insurance domain

What we offer
  • We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working
  • We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.
  • The annualized base pay range for this role is $110,000 - 150,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus.

About Allianz Technology
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.
We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.
Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let's care for tomorrow.
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