Senior Full Stack Data Integration Developer

CYNET SYSTEMS INC.
Long Beach, CA, United States
5 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$93,600.0 - $104,000.0
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Mobile Application Development Code Review Databases Continuous Integration Data as a Services Data Integration Extract Transform Load (ETL)
+26 more
Cursor Database Schema Software Debugging DevOps Microsoft SQL Server Performance Tuning Systems Development Life Cycle Query Optimization Software Engineering SQL Stored Procedures SQL Databases SQL Server Integration Services Systems Integration Enterprise Data Management Data Processing .NET Core Data Ingestion Azure Data Factory AI Coding Agents Backend Git Google Cloud Functions Api Design Restful APIs Code Restructuring Data Pipelines

Job description

Our organization is seeking an experienced Onshore Full Stack Developer to support an Enterprise Data Hub (EDH) initiative for a healthcare insurance client. The role requires a strong software engineering background across data integration, backend/API development, and Microsoft Azure, with the current workload primarily focused on ETL and data integration. The developer will work extensively with Azure Data Factory (ADF), SSIS, SQL Server, and Azure, while also developing and supporting Azure Function Apps, C#, .NET/.NET Core, and RESTful APIs. The role will collaborate closely with business stakeholders, architects, data teams, and offshore engineering teams. Healthcare insurance/payer experience is mandatory. AI-native development experience and familiarity with AI-assisted software engineering tools are a major plus., * Design, develop, and support ETL and enterprise data integration solutions for the Enterprise Data Hub.

  • Build and maintain ADF and SSIS pipelines for data ingestion, transformation, validation, reconciliation, and integration.
  • Develop and optimize SQL Server queries, stored procedures, database objects, and data-processing components.
  • Design and develop Azure Function Apps, C#/.NET services, RESTful APIs, and backend integrations as required.
  • Work with architects and business/data teams to translate requirements into scalable technical solutions.
  • Troubleshoot and optimize data pipelines, APIs, database components, and integration services.
  • Participate in technical design, code reviews, testing, CI/CD, deployment, and production support.
  • Provide technical guidance and coordinate effectively with distributed onshore and offshore teams.
  • Ensure solutions follow established development, data, security, Azure, and DevOps standards.

Requirements

  • 6+ years of software development experience with strong ETL/data integration and backend development experience.
  • Strong hands-on experience with Azure Data Factory (ADF), SSIS, and ETL development.
  • Strong experience with SQL Server, including complex SQL, stored procedures, query optimization, and performance tuning.
  • Strong experience with Microsoft Azure and Azure-based application/data services.
  • Experience with Azure Function Apps, C#, .NET/.NET Core, and RESTful APIs.
  • Experience with Azure DevOps, Git, and CI/CD pipelines.
  • Strong understanding of enterprise data integration, transformation, validation, reconciliation, and API integration patterns.
  • Healthcare insurance/payer experience is mandatory, with experience working with healthcare data and payer business processes.
  • Strong verbal and written communication skills and ability to work directly with business, architecture, and technical stakeholders.

AI-Native Engineering - Major Plus:

  • Hands-on experience using AI-assisted development tools such as Cursor or similar AI coding tools.
  • Experience leveraging AI for coding, testing, debugging, refactoring, code reviews, and technical documentation.
  • Ability to quickly adopt AI-enabled SDLC processes and custom AI engineering tools.
  • Strong AI-native engineering mindset and willingness to incorporate evolving AI capabilities into day-to-day software development.

Benefits & conditions

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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