RulesIQ
Big Data Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Big Data Developer with a contract length of "unknown" and a pay rate of "unknown." It requires 4+ years in Big Data technologies, strong Java, Python, AWS, and AI experience, and is based on-site in various U.S. locations.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 11, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
-
🧠 - Skills detailed
#Big Data #Java #SQL (Structured Query Language) #AI (Artificial Intelligence) #Angular #Data Engineering #Python #Hadoop #Data Analysis #Spark (Apache Spark) #AWS (Amazon Web Services) #BI (Business Intelligence)
Role description
Big Data / Big Data Engineer
• 3x onsite; interview onsite
• Must live near one of the listed FINRA offices.
Rockville, MD
Tysons, VA
Washington, DC
New York, NY
Jersey City, NJ
Woodbridge, NJ
Jericho, NY
Philadelphia, PA
Boston, MA
Chicago, IL
Dallas, TX
Boca Raton, FL
Denver, CO
Los Angeles, CA
San Francisco, CA
Core requirement: Senior Big Data Engineer / Data Engineer / Big Data Developer with strong Java + Python + Spark + Hadoop + SQL + AWS + Angular experience, capable of connecting user-facing applications with terabyte-scale data platforms, building analytics, dashboards/reporting, and applying AI tools in development.
Key Requirements
• 4+ years Big Data – Spark, Hadoop
• Strong Java, Python, AWS, Angular
• 3+ years SQL – data analysis & performance optimization
• Terabyte-scale data platforms / large-scale analytics
• Build data-driven insights, dashboards & reporting
• Full-stack ability to bridge UI applications + Big Data platforms
• BI integrations / custom modules
• AI experience is required – practical use of AI productivity/development tools
• Fast-moving application/platform development and scaling
Priority stack:
1. Spark + Hadoop + Big Data
1. Java + Python
1. AWS
1. Strong SQL
1. Angular
1. Terabyte-scale data / analytics
1. Dashboards / reporting / BI
1. AI-assisted development
Big Data / Big Data Engineer
• 3x onsite; interview onsite
• Must live near one of the listed FINRA offices.
Rockville, MD
Tysons, VA
Washington, DC
New York, NY
Jersey City, NJ
Woodbridge, NJ
Jericho, NY
Philadelphia, PA
Boston, MA
Chicago, IL
Dallas, TX
Boca Raton, FL
Denver, CO
Los Angeles, CA
San Francisco, CA
Core requirement: Senior Big Data Engineer / Data Engineer / Big Data Developer with strong Java + Python + Spark + Hadoop + SQL + AWS + Angular experience, capable of connecting user-facing applications with terabyte-scale data platforms, building analytics, dashboards/reporting, and applying AI tools in development.
Key Requirements
• 4+ years Big Data – Spark, Hadoop
• Strong Java, Python, AWS, Angular
• 3+ years SQL – data analysis & performance optimization
• Terabyte-scale data platforms / large-scale analytics
• Build data-driven insights, dashboards & reporting
• Full-stack ability to bridge UI applications + Big Data platforms
• BI integrations / custom modules
• AI experience is required – practical use of AI productivity/development tools
• Fast-moving application/platform development and scaling
Priority stack:
1. Spark + Hadoop + Big Data
1. Java + Python
1. AWS
1. Strong SQL
1. Angular
1. Terabyte-scale data / analytics
1. Dashboards / reporting / BI
1. AI-assisted development
