Be Part Of A High-Performing Team:

Join the technology organization of a global financial institution supporting critical compliance, analytics, and reporting initiatives. This collaborative team brings together data developers, business analysts, and data analysts to build dependable data solutions for a highly regulated environment. The group values technical quality, careful validation, strong problem-solving, and close partnership between development and quality assurance.

What's In Store For You:

• Engagement: W2 only (no C2C/1099)
• Hybrid opportunity based in Jersey City, New Jersey.
• Work on data solutions that directly support compliance technology, reporting, and analytical decision-making.
• Collaborate with experienced data and business professionals in an enterprise financial services environment.
• Gain exposure to the full data delivery lifecycle, including development, testing, automation, performance optimization, and production-quality validation.

How You Will Make An Impact:

• Develop scripts, processes, and tools that ingest, transform, validate, and deliver data for analytics and reporting.
• Write efficient SQL queries, stored procedures, and data transformation logic.
• Design and maintain ETL pipelines using Python, Azure Data Factory, or comparable data integration tools.
• Automate recurring data workflows to improve reliability and reduce manual processing.
• Perform development-level quality assurance, including data reconciliation, defect identification, and regression testing.
• Monitor and improve data quality, completeness, consistency, and accuracy.
• Troubleshoot data pipeline issues and optimize SQL queries and ETL processes for performance.
• Partner with business analysts, data analysts, and developers to translate reporting requirements into reliable technical solutions.
• Document data workflows, validation rules, dependencies, and technical processes.

Do You Bring Proven Success in Data Integration Development and Quality Assurance?

• 3–5 years of professional experience in data development, ETL engineering, data integration, or a closely related role.
• Strong hands-on SQL skills, including complex queries, joins, transformations, troubleshooting, and performance tuning.
• Experience developing scripts or data-processing workflows with Python.
• Practical experience with Azure Data Factory or another enterprise ETL platform.
• Knowledge of data warehousing concepts, dimensional modeling, and structured data delivery.
• Demonstrated ability to test and validate data pipelines, transformation logic, and downstream outputs.
• Experience investigating data discrepancies and performing source-to-target reconciliation.
• Strong development discipline with an understanding of quality assurance and defect-management practices.
• Ability to collaborate effectively with business analysts, data analysts, developers, and other technical stakeholders.
• Detail-oriented work style with strong analytical, documentation, and problem-solving skills.
• Financial services, banking, compliance technology, or regulatory data experience is preferred.