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
Numbers & Facts
Location
Jersey City, New Jersey
Skills
Automationunmatched
Business Supportunmatched
Continuous Improvementunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Data Structuresunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Identify Issuesunmatched
Microsoft Windows Azureunmatched
Performance Tuning/Optimizationunmatched
Process Developmentunmatched
Process Improvementunmatched
Python Programming/Scripting Languageunmatched
Quality Assuranceunmatched
Quality Managementunmatched
Query Optimizationunmatched
SQL (Structured Query Language)unmatched
Scripting (Scripting Languages)unmatched
Team Playerunmatched
Technical Supportunmatched
Testingunmatched
Validation Testingunmatched
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