Data Developer 3660741

Be Part Of A High-Performing Team

Join a technology team supporting enterprise data initiatives focused on building reliable solutions that power analytics, reporting, and business decision-making. This team works on developing data processes, improving data quality, and delivering scalable solutions that help transform complex information into actionable insights. The environment values strong technical execution, collaboration, and continuous improvement across development and quality assurance functions.

What's In Store For You

• Engagement: W2 only (no C2C/1099)
• Hybrid work environment based in Jersey City, NJ
• Opportunity to contribute across both development and QA activities within enterprise data solutions
• Exposure to data engineering practices, automation, data pipelines, and analytics-focused initiatives

How You Will Make An Impact

• Develop and maintain scripts, processes, and tools that support data ingestion, transformation, and delivery for analytics and reporting needs
• Build efficient SQL queries and data pipelines to support business data requirements
• Design, develop, and enhance ETL solutions while improving workflow automation
• Perform data validation, quality checks, and troubleshooting to ensure accurate and consistent data outputs
• Support performance tuning and optimization efforts across data processes and reporting solutions
• Collaborate with technical teams to improve data workflows and deliver reliable solutions

Do you bring proven success in data development and ETL solutions?

• 3-5 years of experience in data development, data engineering, or related technical roles
• Strong SQL development skills with experience writing and optimizing complex queries
• Experience with Python and/or Azure Data Factory for data processing and automation
• Hands-on experience developing ETL solutions and automated data workflows
• Understanding of data warehousing concepts, data modeling, and analytics data structures
• Experience with data quality validation, testing, and troubleshooting
• Strong development, QA, and performance tuning capabilities
• Ability to collaborate effectively with technical and business teams in a hybrid work environment