Data Integration Developer SQL, Python & Azure Data Factory
United States | Oct. 7, 2026
Report as Closed
Company:
Axiom Path
Country: United States
Type: Onsite
Employment: Contract
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:
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Engagement: W2 only (no C2C/1099)
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Hybrid opportunity based in Jersey City, New Jersey.
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Work on data solutions that directly support compliance technology, reporting, and analytical decision-making.
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Collaborate with experienced data and business professionals in an enterprise financial services environment.
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Gain exposure to the full data delivery lifecycle, including development, testing, automation, performance optimization, and production-quality validation.
How You Will Make An Impact:
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Develop scripts, processes, and tools that ingest, transform, validate, and deliver data for analytics and reporting.
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Write efficient SQL queries, stored procedures, and data transformation logic.
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Design and maintain ETL pipelines using Python, Azure Data Factory, or comparable data integration tools.
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Automate recurring data workflows to improve reliability and reduce manual processing.
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Perform development-level quality assurance, including data reconciliation, defect identification, and regression testing.
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Monitor and improve data quality, completeness, consistency, and accuracy.
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Troubleshoot data pipeline issues and optimize SQL queries and ETL processes for performance.
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Partner with business analysts, data analysts, and developers to translate reporting requirements into reliable technical solutions.
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Document data workflows, validation rules, dependencies, and technical processes.
Requirements
Do You Bring Proven Success in Data Integration Development and Quality Assurance?
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3 5 years of professional experience in data development, ETL engineering, data integration, or a closely related role.
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Strong hands-on SQL skills, including complex queries, joins, transformations, troubleshooting, and performance tuning.
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Experience developing scripts or data-processing workflows with Python.
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Practical experience with Azure Data Factory or another enterprise ETL platform.
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Knowledge of data warehousing concepts, dimensional modeling, and structured data delivery.
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Demonstrated ability to test and validate data pipelines, transformation logic, and downstream outputs.
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Experience investigating data discrepancies and performing source-to-target reconciliation.
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Strong development discipline with an understanding of quality assurance and defect-management practices.
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Ability to collaborate effectively with business analysts, data analysts, developers, and other technical stakeholders.
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Detail-oriented work style with strong analytical, documentation, and problem-solving skills.
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Financial services, banking, compliance technology, or regulatory data experience is preferred.
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