

EPITEC
Data Engineering Engineer 3
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Engineer 3 in Dearborn, MI, offering a W2 contract for 40 hours per week at $60-65/hour. Key skills include GCP, BigQuery, Python, and SQL. Local candidates only; no C2C.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dearborn, MI
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Quality #Security #Terraform #BigQuery #dbt (data build tool) #Scala #API (Application Programming Interface) #Data Engineering #Data Modeling #Data Lake #Kafka (Apache Kafka) #GCP (Google Cloud Platform) #Java #Agile #Data Ingestion #ML (Machine Learning) #Data Pipeline #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Dataflow #Infrastructure as Code (IaC) #Python #Data Warehouse #Cloud #Big Data
Role description
Job Title: Data Engineer
Location: Dearborn, MI. (MUST BE LOCAL)
Job Type: W2 CONTRACT | NO C2C | NO CORP-2-CORP
Expected hours per week: 40 hours per week
Schedule: Onsite
Pay Range: $60-65 an hour
Responsibilities
Job Description:
• Design, develop, and maintain scalable data ingestion and transformation pipelines from multiple data sources
• Build and optimize data warehouses, data lakes, and lakehouse solutions
• Develop reliable ETL/ELT pipelines using Python, SQL, DBT/Dataform, and GCP technologies
• Implement and manage cloud-native data platforms utilizing BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and related services
• Automate workflows, improve data quality, and reduce manual processes through engineering best practices
• Partner with architects, developers, and business stakeholders to deliver high-quality data solutions
• Monitor performance, scalability, security, and cost optimization across data platforms
Required Skills
• Google Cloud Platform (GCP)
• BigQuery
• Cloud Run
• Kafka
• Python
• SQL
• Java
• API Development & Integration
• Cloud Architecture
• Data Pipelines & Data Modeling
• Big Data Technologies
• Agile Development
Nice To Have
• Dataflow
• Pub/Sub
• Cloud Functions
• DBT or Dataform
• Infrastructure as Code (Terraform, etc.)
• AI/ML data platform experience
Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
#INDOEM
Job Title: Data Engineer
Location: Dearborn, MI. (MUST BE LOCAL)
Job Type: W2 CONTRACT | NO C2C | NO CORP-2-CORP
Expected hours per week: 40 hours per week
Schedule: Onsite
Pay Range: $60-65 an hour
Responsibilities
Job Description:
• Design, develop, and maintain scalable data ingestion and transformation pipelines from multiple data sources
• Build and optimize data warehouses, data lakes, and lakehouse solutions
• Develop reliable ETL/ELT pipelines using Python, SQL, DBT/Dataform, and GCP technologies
• Implement and manage cloud-native data platforms utilizing BigQuery, Dataflow, Pub/Sub, Cloud Functions, Cloud Run, and related services
• Automate workflows, improve data quality, and reduce manual processes through engineering best practices
• Partner with architects, developers, and business stakeholders to deliver high-quality data solutions
• Monitor performance, scalability, security, and cost optimization across data platforms
Required Skills
• Google Cloud Platform (GCP)
• BigQuery
• Cloud Run
• Kafka
• Python
• SQL
• Java
• API Development & Integration
• Cloud Architecture
• Data Pipelines & Data Modeling
• Big Data Technologies
• Agile Development
Nice To Have
• Dataflow
• Pub/Sub
• Cloud Functions
• DBT or Dataform
• Infrastructure as Code (Terraform, etc.)
• AI/ML data platform experience
Benefits: 80 hours paid time off, medical insurance contributions, dental vision and our 401k retirement savings plan
#INDOEM






