1

Data Operations Jobs in Minneapolis, MN (NOW HIRING)

Develop the program logic to link and load each data set into the operational data store (ODS). Create the database architecture required to support the linking, loading, and storage of the new data ...

You will focus on unifying data that spans internal operational systems, vendors, and partners, evolving beyond traditional batch processing and point-to-point integrations to a near-real time data ...

Data infrastructure & operations: Plan, manage, and support the selection and use of data platform technologies, working closely with the engineering team and Solution Architect to onboard new ...

Optimize Global Operations: Identify and establish optimal locations for manufacturing facilities, considering factors such as cost, logistics, market proximity, and geopolitical risks. * Lead Cross ...

This role is critical in ensuring our data processes run smoothly and client deliverables are met in a timely fashion so that Operations and Consulting teams can deliver timely, high-quality insights ...

Our client is seeking a Data Center Operations Engineer to support the daily operations of a critical data center environment in. This individual will be responsible for ensuring reliability ...

Showing results 21-40

Data Operations information

See Minneapolis, MN salary details

$54.3K

$134.2K

$208.8K

How much do data operations jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data operations in Minneapolis, MN is $134,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

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

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

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

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

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

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

Infographic showing various Data Operations job openings in Minneapolis, MN as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $134,155 per year, or $64.5 per hour.

MS SQL Architect

Jobsbridge

Saint Paul, MN • On-site

Contractor

Re-posted 25 days ago


Job description

Job Description

Project Deliverable s: 


Coordinate and manage data set "logistics" (e.g. issues, access to data, coordination of subject matter experts, etc.). 

Conduct data profiling, using MN P20W standards practices to iteratively work with the data provider to define, document, and clean the data. 

Define the data linking rules to be exercised on the personally identifying information available in each data set. Use this definition to evaluate existing data linking rules and integrate the new data set in a way that maintains or improves the quality of data linking results. 

Develop the program logic to link and load each data set into the operational data store (ODS). 

Create the database architecture required to support the linking, loading, and storage of the new data in the ODS, consistent with the existing architecture. 

Create and populate a data warehouse from the ODS. 

Evaluate and possibly refine the data operations to accommodate the data frequency and business needs

Qualifications

 MS SQL, ODS

Additional Information

Multiple Openings 


Jobsbridge Institute logo

About Jobsbridge Institute

Sourced by ZipRecruiter

Josbridge Institute is your one-stop destination for your Data, Cloud and Analytics learning needs, powered by Microsoft AI & Cloud platform. We offer a wide range of courses and programs, from foundational to advanced focusing on Data Analysis, Cloud Engg, AI-ML required for Microsoft certification. Our courses are designed to equip you with the practical skills and knowledge required for success in the field of cloud computing, AI and Data Analytics. With our experienced faculty, applied learning and comprehensive curriculum, we are committed to helping you achieve your career goals. Students seeking Internship (CPT & OPT) may apply.

Industry

Business schools and computer and management training

Company size

11 - 50 Employees

Headquarters location

Campbell, CA, US

Year founded

2022