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Data Programmer Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN ยท On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation ...

Data Engineer

Minneapolis, MN ยท On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure that enables advanced analytics, machine learning, and decision intelligence across Ryan Companies.

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Engineer, you will have the unique opportunity to design and establish a modern data engineering function within our organization. You will take the lead in building the data infrastructure ...

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Summary The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Platform Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform, ensuring it is reliable, efficient, and easy for teams to use. This role is responsible for ...

Data Platform Engineer

Minneapolis, MN

$119K - $143K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform, ensuring it is reliable, efficient, and easy for teams to use. This role is responsible for ...

Data Engineer Principal

Bloomington, MN ยท On-site

$39.89 - $55.55/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Platform Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

They are seeking a Data Platform Engineer to build and operationalize a modern data platform using Microsoft Fabric, ensuring reliability and efficiency while collaborating with data engineers and BI ...

Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Data engineers work in collaborative scrum teams with other developers, analysts and data scientists and may share work efforts in order to achieve sprint goals. They champion and embrace leading ...

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

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Showing results 1-20

Data Programmer information

See Minnesota salary details

$15

$27

$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:

Data Engineer

Accelint

Saint Paul, MN โ€ข On-site

$101K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Note: This position is contingent upon contract award.
Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.
For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, SoarTech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.
Job Description
  • Data Engineer
  • Full Time
  • Onsite/Hybrid Preferred

Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation (M&S), and systems analysis. This position is responsible for managing the technical execution of technical data modeling efforts in direct support of Navy and Department of Defense (DoD) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 2 to 5 years of experience using Orchestration tools (Apache Airflow) and data processing tools (Apache Spark) with a demonstrated ability to collaborate with cross-functional teams.
Duties & Responsibilities
  • Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals.
  • Contribute technical expertise in data engineering to design and implement data solutions that support software development initiatives.
  • Participate in planning sessions to develop data pipeline architecture that align with project requirements.
  • Design data ingestion, transformation, and storage workflows that are scalable and meet software performance requirements.
  • Implement data quality checks and validation procedures to ensure data accuracy and integrity within software products.
  • Conduct comprehensive testing, including unit, integration, and system testing ensuring application quality and functionality stay in specifications.
  • Debug and resolve complex software defects and issues.
  • Document data engineering processes, pipeline configurations, and data flows to ensure consistency and future support.
  • Ensure accuracy and completeness of all documentation.
  • Foster effective collaboration with cross-functional teams to achieve project objectives.
  • Communicate complex technical information clearly and effectively.
  • Utilize advanced software development tools and methodologies to support project requirements.
  • Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.
  • Manage projects, including planning, execution, and delivery.
  • Coordinate with cross-functional teams to ensure project objectives are met on time and within budget.
  • Performs other duties as assigned.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field required; advanced degree, relevant internship experience, or equivalent hands-on industry experience may be considered in lieu of traditional qualifications.
  • Proficient with Orchestration tools (Apache Airflow) and data processing tools (Apache Spark)
  • Advanced knowledge of object storage and management of unstructured data
  • Experience utilizing cross-domain solutions in a secure environment
  • Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.)
  • Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing
  • Advanced level knowledge of software development processes including Agile methodologies.
  • Conversant with object-oriented programming languages
  • Excellent written and oral communication.
  • Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Preferred Qualifications
  • Current CompTIA Security + Certification
  • Experience with Typescript/Express and FastAPI frameworks
  • Experience with PostgreSQL
  • Experience with a modern JavaScript framework (Angular, React, etc.)
  • Experience with software development frameworks and libraries.
  • In-depth understanding of the aerospace and defense industry.
  • Knowledge of DoD software development policies and requirements

Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
  • This position is hybrid located in St. Paul, MN.
  • Fully remote candidates may be considered with increased expectation for travel.
  • This position may require the ability to travel up to 5%.

Work Environment
Hybrid work arrangements are strongly preferred for this role to support regular in-person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1-2 times per month to customer sites, subcontractor locations, and other company offices.
Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role is:
101,998 - 130,630 USD per year (St. Paul, MN)