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
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💰 - Day rate
520
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🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dearborn, MI
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🧠 - 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