Senior Software Engineer

We're looking for a senior engineer with strong experience building production-grade Azure Functions to drive enterprise data extract & load workflows.

This role focuses on event-driven and pipeline-based data integration, where Azure Functions and state/queue-based orchestration are at the core of the architecture. You'll work on a critical enterprise system responsible for reliably extracting and moving data across complex platforms.

What you'll be working on

• Designing and maintaining Azure Functions-based data extract & load processes
• Building event-driven and state-based workflows using queues and orchestration patterns
• Extracting data from internal and external systems and moving it across enterprise platforms
• Implementing retry logic, state management, monitoring, and error handling
• Collaborating closely with stakeholders to understand data flows and integration requirements
• Applying strong engineering practices, including code reviews, testing, version control, and maintainable design
• Using AI-assisted development tools to improve productivity, code quality, refactoring, debugging, and technical problem-solving, All travel, accommodation, and meal expenses are fully covered by the client.

Why this role

• Work on a core enterprise data system
• High ownership and architectural responsibility
• Fully remote USA-based role with a contract-to-hire path
• Long-term opportunity working with modern Azure integration patterns
• Join an engineering environment that is actively adopting AI-assisted development to improve productivity and software quality

• 7+ years of hands-on software engineering experience
• Strong, real-world experience with Azure Functions in production
• Experience with event-driven architectures, queues, and state handling
• Solid background in .NET and SQL
• Understanding of data extraction and load concepts, including ETL / ELT
• Practical experience using AI tools in day-to-day software development, such as Claude, ChatGPT, OpenAI Codex, GitHub Copilot, Gemini, Cursor, or similar tools
• Openness and ability to use AI effectively for coding, refactoring, test generation, debugging, documentation, and improving development speed without sacrificing code quality
• Strong judgment in reviewing, validating, and safely applying AI-generated code

Nice to have

• Experience with Azure Data Factory, either conceptually or through prior usage
• Exposure to Databricks, Synapse, or similar Azure data services
• EDI or enterprise integration experience
• Experience applying AI tools to legacy-code modernization, data-integration work, SQL optimization, or cloud-development workflows