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Permanent Data Engineer C2C Jobs in Minnesota (NOW HIRING)

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

C2C About the Role Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Only W2 no C2C Job Summary We are looking for a Senior Data Engineer with strong hands-on experience building and supporting modern data platforms. The ideal candidate will have expertise in cloud ...

... C2C Possible Yes. Rate depends on experience Interview Method Webcam (MS Teams) NOTE: The work is ... This role will lead efforts across data engineering, data science, and business strategy that help ...

Data Analyst

Saint Paul, MN · On-site

$27 - $29/hr

... permanent talent. Visit us at -a-job/ to learn more and view our open positions. Please apply or ... Third-party or C2C candidates will not be considered. Description : * Analyze quality standards for ...

Step into your future as a DataOps Developer and help shape a growing enterprise data platform. In ... Comprehensive support for international relocations and permanent residency processes. Equal ...

... on C2C/1099 (OR) $60/hr. on W2 (Max Rates) Requirements: * 5+ years of professional Data Science/ML experience. * Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or ...

Build/Release Engineer Arden Hills, Minnesota 6 Months+ No C2C, any visa is okay. Responsibilities ... Demonstrate substantial depth of knowledge and experience in a specific area of Big Data and Java ...

Build/Release Engineer Arden Hills, Minnesota 6 Months+ No C2C, any visa is okay. Responsibilities ... Demonstrate substantial depth of knowledge and experience in a specific area of Big Data and Java ...

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Permanent Data Engineer C2C information

What is a permanent data engineer C2C?

Permanent Data Engineer C2C jobs refer to full-time data engineering positions where the hiring arrangement is on a 'Corp-to-Corp' (C2C) basis. In C2C contracts, a candidate works as an employee of a consulting or staffing company, which then contracts their services out to a client company. As a Permanent Data Engineer, you would be responsible for designing, building, and maintaining data systems, pipelines, and databases to support organizational data needs on a long-term basis. This setup allows for both the stability of a permanent role and the flexibility of a consulting arrangement.

What skills and qualifications are needed to thrive as a permanent data engineer C2C?

To thrive as a Permanent Data Engineer (C2C), you need strong expertise in data modeling, ETL processes, SQL, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud technologies (AWS, Azure, or GCP), and relevant certifications such as AWS Certified Data Analytics are highly valued. Excellent problem-solving, collaboration, and communication skills help you work efficiently with cross-functional teams and translate data requirements into actionable solutions. These skills and qualifications ensure the development, optimization, and maintenance of data pipelines that support robust business decision-making.

What challenges might a permanent data engineer C2C face when working with different client teams?

As a Permanent Data Engineer working C2C (Corp-to-Corp), you may encounter challenges like adapting quickly to various clients' tech stacks and data infrastructures. Communication can be complex, as you'll often collaborate with cross-functional teams who may have differing priorities or familiarity with data engineering concepts. Ensuring data quality and consistency across disparate systems is another common hurdle. Staying organized and proactive in documenting your work will help you succeed in these dynamic environments.

What is the difference between Permanent Data Engineer C2C vs Contract Data Engineer?

AspectPermanent Data Engineer C2CContract Data Engineer
Employment TypeFull-time, permanent employment with benefitsTemporary, project-based engagement without benefits
Work EnvironmentTypically in-house or long-term remoteOn-site or short-term remote, often at client sites
Credentials & CertificationsOften requires relevant certifications (e.g., AWS, Azure)Similar certifications may be preferred but not always mandatory
Industry UsageCommon in large organizations with ongoing data needsFrequent in consulting or project-specific roles

In summary, Permanent Data Engineer C2C roles offer stability and benefits, while Contract Data Engineer positions provide flexibility for short-term projects. Your choice depends on your career goals and preferred work environment.

What are popular job titles related to Permanent Data Engineer C2C jobs in Minnesota?

For Permanent Data Engineer C2C jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Permanent Data Engineer C2C jobs in Minnesota look for?

The top searched job categories for Permanent Data Engineer C2C jobs in Minnesota are:

What cities in Minnesota are hiring for Permanent Data Engineer C2C jobs?

Cities in Minnesota with the most Permanent Data Engineer C2C job openings:

Infographic showing various Permanent Data Engineer C2C job openings in Minnesota as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

$116K - $140K/yr

Full-time

Re-posted 28 days ago


Job description

Data Engineer - Tech Lead (GCP, Apache Beam, Airflow)
Location: Eagan, MN (Remote Eligible) | Job Type: C2C
About the Role
Join a dynamic Rebate Data Warehouse team as a tech lead/principal data engineer. You'll drive strategic initiatives, lead engineering best practices, and mentor a collaborative team of nine data engineers. This is a rare opportunity to shape the future of our data platform, influence roadmap decisions, and play a key role in critical projects within a highly visible healthcare or financial environment.
Responsibilities
- Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL
- Lead technical decision-making, set engineering standards, and ensure data quality and reliability across the platform
- Guide and mentor junior and mid-level engineers through code reviews, technical support, and knowledge sharing
- Collaborate closely with product owners and stakeholders to develop and execute data engineering strategy
- Drive continuous improvement and innovation within the Rebate Data Warehouse ecosystem
Required Skills and Experience
- Hands-on experience with GCP Data Engineering tools: Google Cloud Storage, BigQuery, Looker Studio, Cloud Composer, Gsutil, Dataplex
- Deep knowledge of Apache Beam and Apache Airflow
- Strong proficiency in Python and SQL for data processing and transformation
- Proven track record using GitHub in a collaborative environment
- Experience in PBM, healthcare, or financial industry data environments
- Flexibility, adaptability, and excellent communication skills
Preferred Skills
- Java familiarity or experience
- Exposure to SnapLogic
Benefits
- Opportunity to drive strategy and influence technology direction
- Leadership and mentorship opportunities to advance your career
- Collaborative, supportive team culture
- Exposure to cutting-edge cloud and data technologies
How to Apply
Ready to take the lead in data engineering and make a real impact? Submit your resume today to join our high-performing team!

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US