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Contract Data Engineering Jobs in Minnesota (NOW HIRING)

Version control, data contracts, and documentation * Champion modern software engineering practices within data engineering Business Partnership * Partner with Business Product Managers, Domain ...

Version control, data contracts, and documentation * Champion modern software engineering practices within data engineering Business Partnership * Partner with Business Product Managers, Domain ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

This is a 5+ month contract opportunity. Compensation: $95.00 - $110.00 per hour, W2, based on ... Provide thought leadership and champion software engineering best practices, innovative solutioning ...

Data Engineer

Chisago City, MN · On-site

$80K - $120K/yr

Working closely with IoT Systems Engineering and Service teams, you'll help shape a new platform as ... Collaborate with IoT engineers on data contracts and payload structure. Dashboards & Analytics

This is a long-term contract opportunity. Compensation: W2: $110.00 - 130.00 per hour IC/C2C: $120 ... Join a highly collaborative engineering team that is building next-generation cloud data platforms ...

Data Engineer - Hybrid

Minneapolis, MN · On-site

$121K - $145K/yr

This is a 5+ month contract opportunity. Compensation: Position Overview: This role will join a ... years of data engineering experience with your own code running in production, including ...

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Reverse engineer and document the Avatar NX data model, including: * Table structures ... Standardize data contracts and exchange patterns (batch, API, event-driven) Data Governance ...

Data Architect

Roseville, MN · On-site

$140K - $160K/yr

Reverse engineer and document the Avatar NX data model, including: * Table structures ... Standardize data contracts and exchange patterns (batch, API, event-driven) Data Governance ...

Data Operations Engineer

Minneapolis, MN · On-site

$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 · 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 ...

... engineering teams, technical writers, and technical artists, ensuring that Integrated Logistics Support (ILS) requirements are accurately captured, documented, and delivered through Contract Data ...

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Showing results 1-20

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 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.

What are the key skills and qualifications needed to thrive as a contract data engineer?

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:
Infographic showing various Contract Data Engineering job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Manager - Data Engineering

3M

Maplewood, MN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 8 days ago


3M rating

7.9

Company rating: 7.9 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

160th of 537 rated manufacturers


Job description

Job Description:

Senior Manager - Data Product Engineering

Collaborate with Innovative 3Mers Around the World

Choosing where to start and grow your career has a major impact on your professional and personal life, so it's equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.

This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.

The Impact You'll Make in this Role

3M is seeking a talented and experienced Senior Manager, Data Product Engineering to lead a cross-functional engineering team responsible for designing, building, and operating enterprise data products that enable analytics, AI, and digital business capabilities. You will collaborate with curious, creative, and diverse teams around the world, delivering trusted, scalable, and reusable data products that create measurable business value.

As a Senior Manager, Data Product Engineering, you will make an impact by:

  • Leading, coaching, and developing a high-performing team of Data Engineers and Technical Leads, building an engineering culture focused on quality, ownership, automation, and continuous improvement.
  • Owning the end-to-end delivery lifecycle for enterprise data products - from product planning and technical design through development, testing, deployment, production support, and continuous enhancement.
  • Driving engineering best practices including CI/CD, Infrastructure as Code, automated testing, data quality validation, monitoring, data contracts, and documentation.
  • Partnering with business stakeholders, Product Managers, Enterprise Architecture, and Data Governance to translate business capabilities into technical solutions that deliver measurable outcomes.
  • Guiding cloud-native data solutions using Snowflake, Apache Iceberg, AWS, dbt, Python, SQL, APIs, streaming technologies, and data orchestration platforms.
  • Ensuring data products are designed to support AI applications, machine learning, intelligent agents, semantic models, self-service analytics, and real-time operational decision making.

Leadership & Team Development

  • Lead, coach, and develop a high-performing team of Data Engineers and Technical Leads
  • Build an engineering culture focused on quality, ownership, automation, and continuous improvement
  • Recruit and develop engineering talent
  • Establish clear goals, career paths, and performance expectations
  • Foster collaboration across engineering, architecture, product management, and business teams

Data Product Delivery

  • Own the end-to-end delivery lifecycle for enterprise data products including:
  • Product planning and technical design
  • Development, testing, and deployment
  • Production support and continuous enhancement
  • Ensure products are reliable, well documented, secure, governed, observable, and reusable across the enterprise

Engineering Excellence

  • Drive engineering best practices including:
  • CI/CD and Infrastructure as Code
  • Automated testing and data quality validation
  • Monitoring and alerting
  • Version control, data contracts, and documentation
  • Champion modern software engineering practices within data engineering

Business Partnership

  • Partner with Business Product Managers, Domain leaders, Enterprise Architects, Platform Engineering, Data Governance, and Security
  • Translate business capabilities into technical solutions that deliver measurable outcomes

Operational Excellence

  • Own operational health including availability, performance, data freshness, and data quality
  • Manage incidents, cost optimization, and technical debt
  • Establish Service Level Objectives (SLOs) and continuously improve platform reliability

AI Enablement

  • Ensure data products are designed to support:
  • AI applications and machine learning
  • Intelligent agents and semantic models
  • Self-service analytics and real-time operational decision making

What This Role Does Not Do

  • Own platform infrastructure engineering or AWS infrastructure delivery
  • Perform individual contributor data engineering (pipeline development)
  • Define business metrics, KPIs, or semantic models
  • Create dashboards, reports, or BI content
  • Operate as a project manager without engineering accountability

What Success Looks Like

  • On-time delivery of committed roadmap with strong business adoption
  • High deployment frequency and low lead time for change
  • Platform availability and data quality SLAs consistently met
  • Growing number of reusable enterprise data products and AI-ready datasets
  • Reduction in duplicate data pipelines
  • Team engagement, retention, and talent development
  • Business KPI improvements enabled by delivered products

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or technology field (completed and verified prior to start)
  • Ten (10) years of experience in Data Engineering, Software Engineering, or Data Platforms in a private, public, government or military environment
  • Five (5) years leading engineering teams in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

  • Experience delivering enterprise-scale cloud data solutions
  • Strong knowledge of modern data architectures
  • Experience with Agile delivery models
  • Strong communication and executive presentation skills
  • AWS, Snowflake, Apache Iceberg, Databricks
  • dbt, Python, Spark, SQL
  • Kafka or streaming technologies
  • Data Mesh or domain-oriented architectures
  • Product operating models
  • AI and Machine Learning data platforms
  • Experience operating in a large, global, regulated enterprise environment
  • Manufacturing, supply chain, or enterprise analytics experience

    Work location:

    • Work location: Maplewood, MN

    Travel: May include up to 10% domestic/international

    Relocation: May be authorized

    Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

    Supporting Your Well-being

    3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

    Chat with Max

    For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

    Applicable to US Applicants Only:The expected compensation range for this position is $188,251 - $230,084, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/.Good Faith Posting Date Range 06/29/2026 To 07/29/2026 Or until filledAll US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.Pay & Benefits Overview: https://www.3m.com/3M/en_US/careers-us/working-at-3m/benefits/3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

    Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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