

Mainz Brady Group
Senior Data Engineer – Marketplace Analytics
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer – Marketplace Analytics with a long-term contract at a Fortune 100 company. Requires 10+ years of experience, expert SQL & Python skills, and proficiency in Apache Spark, Databricks, and AWS. Remote work only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Databricks #Strategy #AWS (Amazon Web Services) #Spark (Apache Spark) #Apache Spark #Cloud #Libraries #Data Science #Data Pipeline #Data Engineering
Role description
C2C & H1B sponsorship not provided – only work as my W2 employee
Fortune 100 company, 100% remote, long-term contract
Join a global analytics team building advanced data science solutions that power marketplace insights and business strategy. Design and optimize large-scale data pipelines to model, predict, and deliver actionable intelligence for commercial performance.
Nice to Have: Experience building predictive or modeling pipelines for retail or consumer analytics
Experience
• 10+ years in data engineering, analytics, or data science environments
• Expert-level SQL & Python (standard libraries)
• Apache Spark & Databricks
• AWS Cloud Data Solutions
C2C & H1B sponsorship not provided – only work as my W2 employee
Fortune 100 company, 100% remote, long-term contract
Join a global analytics team building advanced data science solutions that power marketplace insights and business strategy. Design and optimize large-scale data pipelines to model, predict, and deliver actionable intelligence for commercial performance.
Nice to Have: Experience building predictive or modeling pipelines for retail or consumer analytics
Experience
• 10+ years in data engineering, analytics, or data science environments
• Expert-level SQL & Python (standard libraries)
• Apache Spark & Databricks
• AWS Cloud Data Solutions