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.