1

Data Operations Jobs in Minnesota (NOW HIRING)

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology department. Using your creative problem solving skills, methodical attention to detail, and ...

Data Operations Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Job Summary : Datasite is a company focused on data operations, and they are seeking a Data Operations Engineer to manage the full lifecycle of partner data. The role involves guiding data ...

Data Operations Analyst

Owatonna, MN · On-site

$21 - $26/hr

Develop and maintain accurate Standard Operating Procedures (SOPs) for all activities in scope for Data Operations * Troubleshoot and resolve issues within scope of responsibility timely, accurately ...

Data Operations Engineer

Minneapolis, MN

$119K - $143K/yr

As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems -- ingestion, transformation, validation, and reconciliation -- bringing the ...

Transform Data. Improve Operations. Drive Innovation. Are you energized by solving complex data challenges and turning business needs into impactful solutions? Join the Digital Innovation & Analytics ...

Transform Data. Improve Operations. Drive Innovation. Are you energized by solving complex data challenges and turning business needs into impactful solutions? Join the Digital Innovation & Analytics ...

Operational & Divisional Alignment * Partner with operational divisions and shared services to standardize data practices and operational processes. Eliminate fragmented or duplicative data ...

Director of Data & AI

Minnetonka, MN · On-site

$120K - $160K/yr

Operational & Divisional Alignment * Partner with operational divisions and shared services to standardize data practices and operational processes. Eliminate fragmented or duplicative data ...

Operational & Divisional Alignment * Partner with operational divisions and shared services to standardize data practices and operational processes. Eliminate fragmented or duplicative data ...

Ensure master data accuracy and consistency across customer, product, vendor, and operational domains * Define and manage processes for creation and maintenance of master data * Lead digital ...

next page

Showing results 1-20

Data Operations information

See Minnesota salary details

$50.9K

$125.9K

$195.9K

How much do data operations jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data operations in Minnesota is $125,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $160,100.00 per year, depending on experience, location, and employer.

Is data operations a good job?

Data operations is a growing field that involves managing, processing, and maintaining data systems to support business functions. It often requires skills in database management, data quality, and tools like SQL or data pipelines, and can offer stable employment with opportunities for advancement. The role is suitable for individuals interested in technology, data analysis, and operational efficiency.

What is a Data Operations job?

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 is the role of data operations?

Data operations involve managing, processing, and maintaining data to ensure its accuracy, availability, and security for organizational use. Professionals in this field often work with data management tools, databases, and automation processes to support data-driven decision-making.

What is the highest paying data job?

The highest paying data job is typically a Data Engineering Manager or Chief Data Officer, with salaries often exceeding $150,000 annually depending on experience and location. These roles require advanced skills in data architecture, leadership, and often certifications in cloud platforms or data management tools.

Is 30 too late for data science?

Data operations roles often value skills and experience over age, and many professionals transition into data science at various ages, including in their 30s. Building relevant skills such as programming, statistics, and tools like SQL or Python can facilitate entry, regardless of age. Continuous learning and practical experience are key factors for success in data science careers.

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 the Data Operations position, 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 Minnesota? The most popular types of Data Operations jobs in Minnesota are:
What are popular job titles related to Data Operations jobs in Minnesota? For Data Operations jobs in Minnesota, the most frequently searched job titles are:
What cities in Minnesota are hiring for Data Operations jobs? Cities in Minnesota with the most Data Operations job openings:
Infographic showing various Data Operations job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $125,880 per year, or $60.5 per hour.

Data Operations Engineer

Icario

On-site

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

DescriptionAbout Us
Icario is the largest technology company focused on member engagement for healthcare’s most trusted organizations. Healthcare today is nothing short of amazing. Yet all of it only works when people connect with it. And too often, they don’t. Healthcare can be impersonal. Confusing. All elbows. The record scratch at life’s party. We’re here to help connect healthcare with the people who need it. Which is everyone. How? By listening. Collaborating. And inspiring. We’re pioneering a better way forward. We’re making healthcare more human. We’re excited about the path ahead—are you ready to make the world a healthier place, one person at a time?

About the Role
Does the idea of playing a significant role in data platform operations oversight, content expertise, and structure processes to ensure the highest level of data quality and service at a fast-growing, late stage start-up sound like your jam?  Are you looking for an organization where your expertise and experience are not only needed, but valued? If so, we’ve got an opportunity with your name written all over it! We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology department. Using your creative problem solving skills, methodical attention to detail, and collaborative spirit, you will partner closely with your Data Engineering peers and our Business Intelligence Reporting team to assist with data operations that support our Icario products, allowing us to make healthcare more human.  In this position, you will report directly to our Manager of Data Operations.


Why We Need You
  • Become our company’s Data Masters, learning what and how data is stored in our various internal databases in order to support internal teams’ questions regarding Icario’s data
  • Work cross-functionally with our customer, implementation, and analytics teams to make operational plans for program implementations  
  • Work with our implementation and product teams to ensure program implementation plans align with product functionality and standards
  • Set up and maintain a variety of data products for each program implementation, including inbound file configuration, outbound file configuration and generation, and reporting
  • Ensure that the delivery of data products is secure, tested, and on-schedule
  • Embody Icario’s values
  • Additionally duties as needed


What We'll Love About You
At Icario, we know that unicorns don’t exist, but Rhinos sure do! We’re not looking for the impossible, just the exceptional. If you meet a combination of the listed skills below, we encourage you to apply.
  • 1-3 years of work experience related to data operations and analysis
  • Experience working with various databases, such as PostgreSQL, Redshift or MongoDB
  • Expertise using SQL for data analysis (Python preferred)
  • Knowledge of data pipelines in the cloud, preferably AWS
  • Knowledge of SFTP, SSO, SAML, Certificate Signing
  • Experience with JSON 
  • Creative problem solver and self starter who enjoys working in a small, fast growing, rapidly changing, environment
  • Comfortable collaborating and communicating with cross-functional teams while working on several different tasks throughout your workday
  • Ability to communicate well with different audiences with clarity and conciseness demonstrated by well-developed written and verbal skills
  • Strong attention to detail to ensure the highest level of data quality and service


What You'll Love About Us
  • A multi-award winning office culture
  • 4+ weeks PTO, Summer PTO, and Unlimited Health & Wellness PTO
  • Competitive Medical and Dental insurance
  • Wellness coach committed to helping our employees live their healthiest lifestyle
  • Generous 401k program with company match
  • Optional FSA, HSA, Pet insurance, Disability, Vision, and more
  • Equal paternity and maternity leave
  • Work-life harmony
  • $1,000 employee referral bonus program
  • The list goes on, apply to learn more!

JOIN US
Want to learn more about us? Visit us at icariohealth.com.

Icario is committed to fostering a welcoming, accessible, respectful, and inclusive environment that ensures equal access and participation for people with disabilities. Please let us know if you require any accommodations by emailing careers@icario.com

Icario is proud to be an Equal Opportunity Employer. We strive to empower an inclusive workplace culture that maximizes every employee’s contribution; widens the leadership pipeline; and ultimately increases the quality of our ideas, products, and our collective mindset. The intersection of opinions and experiences is made stronger by the power of diverse voices, ideas, and perspectives. By championing diversity, equity, and inclusion in our workforce and workplace culture, we're helping ensure we can meet the challenges of the future. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.