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Contract Data Engineering Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN ยท On-site

$101K - $130K/yr

Note: This position is contingent upon contract award. Accelint is a mission-driven technology ... This role is part of our Systems Innovation Engineering (SIE) division, which specializes in ...

snowflake Architect

Saint Paul, MN ยท On-site

$64.25 - $82.75/hr

Snowflake Architect Duration-Contract Location-Arden Hills, MN/Remote Snowflake certified ... Strong data engineering skills to handle large datasets effectively. Expertise in Spark for ...

Data Operations Engineer

Minneapolis, MN

$119K - $143K/yr

You balance partner trust, engineering velocity, and long-term data platform health while enabling intelligent, contract-driven data exchange across our partner ecosystem. You bring hands-on ...

AWS Data Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

Contract Experience: Mid-to-Senior level Job Overview Our client is seeking an experienced AWS Data Engineer to join their team in Minneapolis, MN. The ideal candidate will have hands-on experience ...

Data Modeler

Saint Paul, MN ยท On-site

$55.25 - $71.50/hr

... contract to hire opportunities. The manager shared that this role will focus on analyzing ... Securian is on an exciting journey to stand up a mature data engineering discipline focused on ...

Senior Data Engineer

Eden Prairie, MN ยท On-site

$108K - $146K/yr

... interface contracts, workflow diagrams, and operational runbooks for data loads and extracts ... High School Diploma/GED OR equivalent experience * 8+ years of hands-on data engineering experience ...

Senior Data Engineer

Eden Prairie, MN ยท Remote

$108K - $146K/yr

... interface contracts, workflow diagrams, and operational runbooks for data loads and extracts ... High School Diploma/GED OR equivalent experience * 8 years of hands-on data engineering experience ...

Data Engineer w/ Azure

Eden Prairie, MN ยท On-site

$116K - $140K/yr

This is open for a 6-month C2H or just strictly contract for 6+ months. Core Responsibilities of ... Applying Software Engineering Patterns to Solve Problems * Understanding of Azure Cloud, Databricks ...

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Contract Data Engineering information

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What is the salary of a freelance data engineer?

The salary of a freelance data engineer varies widely based on experience, project complexity, and location, but typically ranges from $50 to $150 per hour. Experienced professionals with skills in cloud platforms, data pipelines, and programming languages like Python or SQL tend to command higher rates. Freelancers often set their rates based on project scope and client requirements.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, consulting, or working in high-demand industries such as finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and sometimes equity or performance bonuses.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and cloud platforms remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Is contract engineering a good career?

Contract data engineering involves short-term or project-based work focused on designing, building, and maintaining data pipelines and systems. It offers flexibility and diverse experience but may lack long-term job security and benefits compared to permanent roles. Success in this career often depends on technical skills, certifications, and the ability to adapt to different environments.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.
What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
What are popular job titles related to Contract Data Engineering jobs in Minnesota? For Contract Data Engineering jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Minnesota look for? The top searched job categories for Contract Data Engineering jobs in Minnesota are:
What cities in Minnesota are hiring for Contract Data Engineering jobs? Cities in Minnesota with the most Contract Data Engineering job openings:

Data Engineer

Accelint

Saint Paul, MN โ€ข On-site

$101K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 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)