Data Integration Developer SQL, Python & Azure Data Factory

Zohorecruit; Jersey City (NJ); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Axiom Path is assisting a global financial institution in Jersey City with a data integration role focused on ETL development and QA for compliance analytics. You will collaborate with data developers, analysts, and engineers to deliver reliable data solutions and robust validation across the data lifecycle.

The role emphasizes SQL proficiency, Python scripting, and experience with Azure Data Factory in a hybrid work setup.

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL

Python

Azure Data Factory

Data warehousing

ETL

QA testing

Data reconciliation

Collaboration

Job description

Jersey City, United States | Posted on 07/21/2026

Axiom Path is an AI-first recruiting and staffing firm delivering RPO, MSP, and direct-hire solutions to enterprise clients across the U.S. Our team of experienced recruiters, supported by purpose-built automation, moves faster and communicates better so clients get qualified talent sooner and candidates get a clear, responsive process from first contact to start date.

Job Description

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.

Requirements

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.