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Data Programmer Jobs in Minnesota (NOW HIRING)

TriOptus LLC

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

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 ...

Ztek Consulting INC

Lead Data Engineer

Minneapolis, MN · On-site

This is a hands-on delivery lead role specialized in data engineering Strong communication skill to work with senior executives 20-25 years of experience in Information Technology services across ...

Thomson Reuters

Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

THOMSON REUTERS

Lead Data Engineer

Eagan, MN · Hybrid

$116K - $140K/yr

Lead Data Engineer We are seeking a highly skilled and strategic Lead Data Engineer to join our team. In this advanced individual contributor role, you will spearhead the development of sophisticated ...

Kognitiv Edge

Data Engineer III

Minneapolis, MN · On-site

The ideal candidate is an experienced engineer capable of architecting scalable data solutions, leading complex integration efforts, andestablishingthe data foundations required for advanced ...

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 ...

Sarian, Inc.

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Role: Sr. AWS Cloud Data Engineer Location: Minneapolis, MN 55401 - Fulltime Position Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data ...

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/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

Data Engineer - Manager

Minneapolis, MN · On-site

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 ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Solution Design Group

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We are looking for engineers, senior engineers and leaders in data ecosystems, to join our growing ...

Nastech Global

AWS Cloud Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Cloud Data Engineer Must Have Technical/Functional Skills: * Data engineering background and hands-on work experience building data pipelines, ETL/ELT, using AWS services (Ex. S3, Glue, Step ...

Deloitte

Sr Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

Shutterfly

Principal Data Engineer

Eden Prairie, MN

$116K - $140K/yr

As part of the Data Engineering team you will tackle the scalability, performance and distributed computing challenges needed to collect, process and store data for a $2B customer eCommerce, images ...

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All JobsData Programmer JobsData Programmer Jobs in Minnesota

Data Programmer information

See Minnesota salary details

$15

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$45

How much do data programmer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for data programmer in Minnesota is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $29.18 per hour, depending on experience, location, and employer.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

What are the key skills and qualifications needed to thrive as a Data Programmer, and why are they important?

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

What is a data programmer?

A data programmer is a professional who writes, tests, and maintains code to manage and analyze data using programming languages such as Python, SQL, or R. They often work with databases, data pipelines, and data analysis tools to support data-driven decision-making in organizations.

Which is the hardest field in it?

In the field of data programming, the most challenging areas often involve complex data integration, optimization, and ensuring data security. Mastering advanced programming languages, database management, and understanding data architecture can also be demanding. The difficulty varies based on individual skills and project requirements.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

Which IT job is the highest paid?

In the IT industry, roles such as Chief Information Officer (CIO), Solutions Architect, and Cloud Engineer tend to be among the highest paid, often earning six-figure salaries or more. These positions typically require advanced skills, certifications, and extensive experience in areas like cybersecurity, cloud computing, or enterprise systems.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Data Engineering Manager tend to be among the highest paying, often earning six-figure salaries. These positions typically require advanced skills in data management, analytics, and leadership, along with relevant certifications and experience.
What are popular job titles related to Data Programmer jobs in Minnesota? For Data Programmer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Programmer jobs in Minnesota look for? The top searched job categories for Data Programmer jobs in Minnesota are:
What cities in Minnesota are hiring for Data Programmer jobs? Cities in Minnesota with the most Data Programmer job openings:
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Data Programmer jobs near you
Manager, Data Engineering

Manager, Data Engineering

Post Consumer Brands

Lakeville, MN

Full-time

Posted 12 days ago

Post Consumer Brands rating

8.0

Company rating: 8.0 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

74th of 385 rated food and drinks producers

Job description

Business Unit Overview

Headquartered in Lakeville, Minn., Post Consumer Brands, a business unit of Post Holdings, Inc., is dedicated to providing people and their pets with delicious food choices for every taste and budget. The company's portfolio includes beloved brands such as Honey Bunches of Oats™, PEBBLES™, Grape-Nuts™ and Malt-O-Meal™ cereal and Peter Pan™ peanut butter, as well as Rachael Ray® Nutrish™, Kibbles 'n Bits™ and 9Lives™ dog and cat food. Post also provides private label solutions to customers in pet food, cereal, nut butters and granola. As a company committed to high standards of quality and to our values, we are driven by one idea: To make lives better by making delicious food accessible for all. For more information about our brands, visit www.postconsumerbrands.com and follow us on LinkedIn or Facebook for the latest news.


Location Description

Post Consumer Brands corporate headquarters in Lakeville, Minnesota, is about 20 miles south of Minneapolis and St. Paul, Lakeville has all the benefits of smaller town living with access to everything a large metropolitan area has to offer. Join more than 400 team members collaborating on the two-building campus to help put breakfast on the tables of millions of consumers in North America. 


Responsibilities
Manager, Data Engineering

Location: Hybrid in Lakeville, MN

About the Role
At Post Consumer Brands, data is a strategic asset and the Manager, Data Engineering plays a pivotal role in shaping how we turn data into insight, impact, and innovation. This role leads the design, development, and operation of our modern data engineering foundation, powering trusted analytics, selfservice reporting, and AIready data products across the enterprise.
 
You’ll lead a team of data engineers responsible for building highquality, scalable data pipelines, data models, and semantic layers that support critical business decisions. Acting as both a people leader and technical leader, you’ll balance delivery speed, reliability, and forwardlooking modernization, while partnering closely with Analytics Solutions, Architecture, Governance, and business stakeholders.
 
This role reports to the Associate Director of Data & Analytics and serves as a key technical leader within our evolving, productoriented data ecosystem.
Key Responsibilities
Data Engineering Foundation & Delivery
  • Lead the design, development, and maintenance of data pipelines, data models, semantic models, and data platforms aligned to enterprise standards
  • Deliver curated, durable, and reusable data assets aligned to priority business decision domains
  • Ensure timely, accurate, and reliable availability of data across enterprise analytics use cases
Technical Design & Scalability
  • Partner with Data & Analytics Architecture to align solutions with enterprise standards and best practices
  • Ensure platforms and pipelines are scalable, performant, maintainable, and adaptable
  • Make informed tradeoff decisions across performance, cost, and delivery speed
Modern Data Ecosystem Enablement
  • Build AI/MLready and productoriented data engineering capabilities
  • Engineer lowlatency and realtime data pipelines for operational analytics and intelligent applications
  • Develop ingestion and processing frameworks for structured and unstructured data
Data Trust, Reliability & Operational Readiness
  • Embed data quality, documentation, lineage, and observability into data assets
  • Ensure productiongrade reliability and operational readiness in partnership with Governance and D&A Operations
Enablement of Analytics & SelfService
  • Partner with Analytics Solutions to enable BI, advanced analytics, and data science
  • Deliver trusted, wellmodeled semantic layers that empower selfservice analytics
Team Leadership & Capability Development
  • Lead, mentor, and develop a team of onshore data engineers and coordinate with offshore partners
  • Foster a culture of engineering excellence, accountability, and continuous improvement
  • Drive adoption of modern tools, practices, and AIenabled engineering workflows
Operational Excellence & Continuous Improvement
  • Translate enterprise priorities into executable delivery plans
  • Balance speed, quality, and sustainability across delivery and operations
  • Leverage automation and AI tools to improve efficiency and code quality

Qualifications
What We’re Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprisescale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domainoriented/semantic models
  • Experience building productiongrade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholdermanagement skills
  • Bachelor’s Degree REQUIRED in a technical or quantitative field (advanced degree preferred)
Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or productoriented data operating models
  • Exposure to realtime streaming, generative AI, LLMenabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity
Why You’ll Love This Role
At Post Consumer Brands, you’ll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprisescale data, while still having the autonomy to make meaningful impact. You’ll help shape a modern, AIready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You’ll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growthoriented culture that respects worklife balance and personal development.

Ready to Make an Impact?

If you’re excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we’d love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
The pay range for this position is $102,931 - $152,338 per year.Qualifications:What We’re Looking For
Required Qualifications
  • 5+ years of experience in data engineering, data warehousing, or related disciplines
  • 2+ years of experience leading data engineering teams and enterprisescale platforms
  • Strong experience with modern cloud data stacks (e.g., Snowflake, dbt, ELT tools)
  • Proven expertise in data modeling, including dimensional and domainoriented/semantic models
  • Experience building productiongrade pipelines with testing, monitoring, and CI/CD
  • Familiarity with data quality, observability, and governance practices
  • Experience leveraging AI tools to accelerate engineering workflows
  • Strong collaboration, communication, and stakeholdermanagement skills
  • Bachelor’s Degree REQUIRED in a technical or quantitative field (advanced degree preferred)
Preferred Qualifications
  • Experience in CPG, manufacturing, supply chain, or commercial analytics
  • Experience in federated or productoriented data operating models
  • Exposure to realtime streaming, generative AI, LLMenabled analytics, or RAG architectures
  • Working knowledge of metadata, lineage, access controls, and data governance concepts
  • Strong business acumen and comfort operating in ambiguity
Why You’ll Love This Role
At Post Consumer Brands, you’ll find big company opportunity with a small company attitude, the chance to work with iconic brands and enterprisescale data, while still having the autonomy to make meaningful impact. You’ll help shape a modern, AIready data foundation, lead and grow a talented engineering team, and directly influence how data drives smarter decisions across the business.
We value curiosity, ownership, and outcomes. You’ll be trusted to build clarity, elevate standards, and move the organization forward, while being supported by a collaborative, growthoriented culture that respects worklife balance and personal development.

Ready to Make an Impact?

If you’re excited to lead, build, and modernize data engineering capabilities that power real business outcomes and you thrive in an environment where your ideas and leadership truly matter, we’d love to hear from you! Apply today and help shape the future of data at Post Consumer Brands.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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