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Contract Data Engineering Jobs in Minnesota (NOW HIRING)

Virtusa

Machine Learning Engineer

Minneapolis, MN · On-site

... Data Engineering on feature pipelines and data contracts. - Own production health: drift detection, performance regression, rollback strategies, and incident response. Required Qualification:- - 5+ ...

Wipro Limited

DEVELOPER L3(CONTRACT)

Minneapolis, MN · On-site

$45K - $121K/yr

DEVELOPER L3(CONTRACT) City: Minneapolis State/Province: Minnesota Posting Start Date: 5/21/26 ... Data & Integration • Work with data engineering teams to integrate models with healthcare ...

Centraprise

ML Engineer

Minneapolis, MN · On-site

Collaborate with Data Engineering on feature pipelines and data contracts. * Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years ...

Virtusa

Machine Learning Engineer

Minneapolis, MN · On-site

... Data Engineering on feature pipelines and data contracts. - Own production health: drift detection, performance regression, rollback strategies, and incident response. Required Qualification:- - 5 ...

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Contract Data Engineering information

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 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 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 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:
Contract Data Engineering jobs near you
Full Stack Developer - Data Engineering

Full Stack Developer - Data Engineering

Epitec

Little Canada, MN • On-site

Contractor

Posted 24 days ago

Job description

  • Location: Little Canada, Minnesota
  • Type: Contract
  • Job #103144

Job Title: Full Stack Developer (with Data Engineering Experience)
Duration: Long term (6-12 months, with possible extension)
Location: Little Canada, MN
Work Arrangement: Onsite / Hybrid
Summary
We are seeking a FullStack Developer with strong experience in backend development using C#/.NET and frontend development using Angular, along with solid data engineering skills. This role will support the development and enhancement of a data platform used for ingesting, managing, and analyzing largescale imaging and electrophysiology procedural datasets.
The ideal candidate is hands on across the full stack and comfortable working with data pipelines, APIs, and scalable enterprise systems.
Responsibilities
  • Design and develop full stack web applications for data ingestion, management, visualization, and labeling
  • Build and maintain backend services and REST APIs to support data workflows
  • Design and implement data pipelines for ingesting, transforming, and storing large datasets
  • Integrate data from multiple external systems and sources
  • Support longitudinal data tracking and versioning across datasets
  • Collaborate closely with data scientists, R&D engineers, and domain experts
  • Ensure performance, reliability, and maintainability of the platform
  • Follow best practices for data security, privacy, and compliance

Required Skills & Qualifications
  • Full Stack Development
    • Strong experience in full stack development (frontend and backend)
    • Strong experience with C# and .NET (.NET Core / .NET Framework)
    • Frontend: Strong experience with Angular (TypeScript, HTML, CSS)
    • Experience with RESTful APIs and microservices architecture
  • Data Engineering
    • Experience designing and building data pipelines (ETL/ELT)
    • Strong data modeling skills
    • Experience with PostgreSQL and NoSQL databases
    • Familiarity with cloud based data storage and compute (Azure preferred)

Preferred / Nice to Have Skills
  • Experience working with large imaging and time series datasets
  • Exposure to healthcare, clinical, or regulated data environments
  • Familiarity with data anonymization or pseudonymization techniques
  • Experience supporting ML/AI data preparation workflows
  • DevOps experience (CI/CD pipelines, containerization)

Deliverables & Expectations
  • Scalable and reliable data ingestion and management capabilities
  • Well documented, production quality code
  • Improved support for longitudinal and multi source data workflows
  • Close collaboration with internal teams to meet project timelines

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