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Temporary Data Engineer C2C Jobs in Michigan (NOW HIRING)

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 · 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 ...

Only W2, No C2C. Candidate should be available for an in-person interview at the Client location in ... Work with Product, Data Engineering, and Platform teams; mentor others, support sprint planning ...

THIS IS A W2-12+MO OPPORTUNITY WITH AN AUTOMOTIVE COMPANY (NO C2C) HYBRID T-TH ONSITE M,F REMOTE ... Support design reviews and engineering decision-making through data-driven analysis. * Document ...

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Temporary Data Engineer C2C information

What is the difference between Temporary Data Engineer C2C vs Temporary Data Analyst C2C?

AspectTemporary Data Engineer C2CTemporary Data Analyst C2C
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights projects
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, retail sectors
Common Search & Comparison IntentUnderstanding technical roles, infrastructure focusFocus on data insights, reporting tasks

Temporary Data Engineer C2C roles typically involve building and maintaining data pipelines and infrastructure, requiring technical certifications and a focus on data engineering tasks. In contrast, Temporary Data Analyst C2C positions emphasize analyzing data to generate reports and insights, often requiring statistical and analytical skills. Both roles are contract-based and used across various industries, but they serve different functions within data teams.

What are popular job titles related to Temporary Data Engineer C2C jobs in Michigan? For Temporary Data Engineer C2C jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Temporary Data Engineer C2C jobs in Michigan look for? The top searched job categories for Temporary Data Engineer C2C jobs in Michigan are:
What cities in Michigan are hiring for Temporary Data Engineer C2C jobs? Cities in Michigan with the most Temporary Data Engineer C2C job openings:
GCP Data Engineer

GCP Data Engineer

Cloud BC Labs

Dearborn Heights, MI • On-site

Other

Posted 4 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