EPITEC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 7+ years in Data Engineering, GCP Cloud Services, and expertise in data ingestion, ETL, and data modeling. W2 only; no C2C.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
Dearborn, MI
-
🧠 - Skills detailed
#GCP (Google Cloud Platform) #Data Lake #Qlik #Data Warehouse #Cloud #Data Pipeline #Data Ingestion #Data Lakehouse #Triggers #Scala #Data Engineering #"ETL (Extract #Transform #Load)" #Data Wrangling #Storage #Data Modeling
Role description
•
• W2 ONLY
•
•
•
•
• NO C2C
•
•
• Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately.
Key Responsibilities:
1. Collaborate with business and technology stakeholders to understand current and future data requirements
1. Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
1. Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
1. Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data Lakehouse etc. for structured and unstructured data
1. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
1. Ensure optimum performance and identify improvement opportunities
Experience Required:
• 7+ years Data Engineering work experience
• Data/Analytics, Data Warehousing, Data Modeling
• Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query
• Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow
• Experience in GCP Cloud Services
•
• W2 ONLY
•
•
•
•
• NO C2C
•
•
• Position Description:
Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately.
Key Responsibilities:
1. Collaborate with business and technology stakeholders to understand current and future data requirements
1. Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
1. Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
1. Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data Lakehouse etc. for structured and unstructured data
1. Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
1. Ensure optimum performance and identify improvement opportunities
Experience Required:
• 7+ years Data Engineering work experience
• Data/Analytics, Data Warehousing, Data Modeling
• Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query
• Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow
• Experience in GCP Cloud Services
