Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a long-term, 12-month remote contract at $80/HR. Requires 5+ years in Data Engineering, expertise in Python/PySpark, SQL, and experience with Data Models for analytics in the banking sector.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
520
🗓️ - Date discovered
April 29, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
New York City Metropolitan Area
🧠 - Skills detailed
#PySpark #Spark (Apache Spark) #Python #Scala #Data Modeling #Deployment #SQL (Structured Query Language) #Data Engineering #Databricks
Role description
• Thank you for your interest! This is a W2 long-term contract opportunity, with the opportunity to convert. The team is looking to schedule interviews as soon as this week! • Title: Data Engineer Location: REMOTE Duration: Long-term contract;12-month with potential extension or conversion to Perm Pay Rate: $80/HR Must Haves - 5+ years' Data Engineering and Data Modeling experience - Python/PySpark Experience - Databricks experience - Experience building Data Models for Analytics purposes - Ability to explain business problems solved by Data Models - Expert SQL Job Description Insight Global is seeking a Data Engineer for a long-term contract opportunity with a large Banking client. This person will leverage various statistical and advanced techniques to identify emerging risks, patterns and typologies to predict financial crime activities and risks. This team develops and maintains scalable data models to support the analytics framework, and provide actionable insight to multiple departments. They will also be responsible for all project/release testing (e.g. integration, business acceptance, performance, operability, deployment verification), and oversee and lead a large and/or highly complex, and diverse reporting function for an area of significant risk, complexity or scope. This role is focused on building data models for Analytics purposes, and help solve complex business issues relative to Financial Crimes.