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Internship Data Engineer C2C Jobs in Detroit, MI

C2C/W2 role Exp : 10+ Yrs : Basic Requirement: Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will ...

Data Engineer

Warren, MI ยท On-site

$45 - $50/hr

5 Days onsite role in Warren, MI Only W2 no C2C 50/hr on w2 max Specific Responsibilities of this Position: As a Data Engineer, you will build industrialized data assets and data pipelines in support ...

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Internship Data Engineer C2C information

See Detroit, MI salary details

$13

$25

$38

How much do internship data engineer c2c jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for internship data engineer c2c in Detroit, MI is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.56 per hour, depending on experience, location, and employer.

What is an internship data engineer C2C?

An Internship Data Engineer C2C is an entry-level or temporary data engineering position offered on a 'Corp-to-Corp' (C2C) basis, usually for students or recent graduates. The role involves working on projects related to data collection, processing, and management, often under the guidance of senior engineers. C2C means the intern is employed and paid through a third-party company, not directly by the hiring organization. This arrangement is common for contract roles in the tech industry, especially in the United States. Interns in this role gain hands-on experience with databases, data pipelines, and data analytics tools.

What types of projects and responsibilities can an internship data engineer C2C expect to handle, and how do these contribute to professional growth?

As an Internship Data Engineer, you can expect to assist with tasks such as developing data pipelines, cleaning and transforming datasets, and helping to integrate data from various sources. You'll often collaborate closely with data scientists, analysts, and senior engineers to understand business requirements and implement solutions. These hands-on responsibilities provide exposure to industry-standard tools and practices, helping you build a strong technical foundation and teamwork skills. Successfully completing these projects can pave the way for full-time opportunities and further specialization in data engineering.

What are the key skills and qualifications needed to thrive as an internship data engineer C2C, and why are they important?

To thrive as an Internship Data Engineer C2C, you need a solid understanding of data structures, programming (often Python or SQL), and database concepts, typically supported by ongoing studies in computer science or a related field. Familiarity with data engineering tools such as ETL platforms, cloud services (like AWS or Azure), and version control systems (such as Git) is commonly expected. Analytical thinking, attention to detail, and effective teamwork are crucial soft skills for collaborating on projects and troubleshooting complex data problems. These competencies enable you to contribute meaningfully to data pipeline development and ensure reliable data infrastructure in a real-world business context.

What are the most commonly searched types of Data Engineer C2C jobs in Detroit, MI?

The most popular types of Data Engineer C2C jobs in Detroit, MI are:

GCP Data Engineer

Cloud BC Labs

Dearborn Heights, MI โ€ข On-site

Other

Re-posted 15 days ago


Job description

Position : GCP Data Engineer
Location : Dearborn, Michigan (Onsite)
Term : C2C/W2 role
Exp : 10+ Yrs

Job Description :

Basic Requirement:
Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP).
The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools.
This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.
Qualifications:
  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience:
    • Minimum of 5 years of experience as a Data Engineer.
    • Proven experience in designing and building data pipelines and data infrastructure on Google Cloud Platform (GCP).
    • Strong understanding of data architecture principles, data modeling techniques, and data governance practices.
  • Technical Skills:
    • Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Storage and Pub/Sub.
    • SQL: Advanced SQL skills, including data manipulation, data definition, and query optimization.
    • Programming: Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and Apache Beam.
    • ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.
    • Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional modeling, data vault).
    • BI Tools: Familiarity with BI tools such as Qlik Sense, Power BI, or Looker.
    • Data Warehousing: Understanding of data warehousing concepts and principles.
    • Data Governance: Knowledge of data governance principles and practices, some experience in DataPlex
    • Version Control: Experience with Git or other version control systems.
Bonus Points:
  • Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer).
  • Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker).

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions