Jobs via Dice
Data Engineering Support Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineering Support Lead in Las Vegas, NV, requiring 5-8 years of experience in the banking domain, strong Python and SQL skills, team leadership, and UAT support. Full-time, permanent position with on-site work.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 13, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Las Vegas, NV
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🧠 - Skills detailed
#Debugging #Base #Python #Data Engineering #UAT (User Acceptance Testing) #SQL (Structured Query Language) #SAS
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infojini, is seeking the following. Apply via Dice today!
Role: Data Engineering Support Lead - Python/SAS, SQL
Location: Las Vegas, NV - On-Site 5 Days in a week (Open for Relocation)
Role Type: Full Time Permanent (No Contract)
Banking Domain
JD:
Minimum 5-8 years of Industry experience as a Data engineering
Good Communication - build relationships with Business + Product + Technology teams, work with multiple stakeholders
Hands on knowledge in Python who can write python scripts from scratch
Strong SQL Knowledge
Banking Domain knowledge preferably in Fraud, Risk and Payment Systems
Prior experience of leading a team of minimum 2-3 Data Engineers
flexible to work outside of prescribed working hours - UAT/Production support experience
Strong Debugging and error handling skills
Quick learner and have skill to understand existing code base to apply new business logic
Worked in live UAT/Prod support environments
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infojini, is seeking the following. Apply via Dice today!
Role: Data Engineering Support Lead - Python/SAS, SQL
Location: Las Vegas, NV - On-Site 5 Days in a week (Open for Relocation)
Role Type: Full Time Permanent (No Contract)
Banking Domain
JD:
Minimum 5-8 years of Industry experience as a Data engineering
Good Communication - build relationships with Business + Product + Technology teams, work with multiple stakeholders
Hands on knowledge in Python who can write python scripts from scratch
Strong SQL Knowledge
Banking Domain knowledge preferably in Fraud, Risk and Payment Systems
Prior experience of leading a team of minimum 2-3 Data Engineers
flexible to work outside of prescribed working hours - UAT/Production support experience
Strong Debugging and error handling skills
Quick learner and have skill to understand existing code base to apply new business logic
Worked in live UAT/Prod support environments
