Data Modeler / Developer

Motion Recruitment; Rutherford (NJ); Hybrid; USD 90,000 - 120,000; Full time

Job summary

Motion Recruitment is seeking a Data Modeler/Developer for a Hybrid role in East Rutherford, NJ. The position focuses on designing scalable data solutions and pipelines, leveraging SQL, Python, and Spark to drive data quality and governance.

This contract role runs for 6 months with potential extension. The ideal candidate will create and maintain logical/physical data models and collaborate with business teams to meet data requirements, while supporting AI/ML initiatives and data analytics

Qualifications

• Experience designing and implementing data models for large-scale data environments.
• Strong SQL and Python programming capabilities.
• Hands-on Spark experience for data processing and analytics.

Responsibilities

• Design and develop scalable data solutions and pipelines.
• Create and maintain logical and physical data models.
• Develop Python- and Spark-based data processing frameworks.
• Optimize data performance, quality, and governance.
• Partner with application and business teams on data requirements.
• Support AI/ML and analytics initiatives.

Skills

Data Modeling

SQL

Python

Spark

Data Warehouse

Data Lake

Job description

Grow your career with an innovative global bank in East Rutherford, NJ as a Data Modeler / Developer with strong SQL & PySpark. Contract role with strong possibility of extension. Will require working a hybrid schedule 3 days onsite per week.
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6 Months

Required Skills & Experience

• Data Modeling
• SQL
• Python
• Spark
• Data Warehouse/Data Lake

Desired Skills & Experience

• GenAI
• Machine Learning
• Google ADK
• Cloud Platforms
• ETL Frameworks

What You Will Be Doing

• Design and develop scalable data solutions and pipelines.
• Create and maintain logical and physical data models.
• Develop Python- and Spark-based data processing frameworks.
• Optimize data performance, quality, and governance.
• Partner with application and business teams on data requirements.
• Support AI/ML and analytics initiatives.