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Role Overview:
- This is a contract role for a Senior Data & Integration Engineer to own the design and build of a centralized Incident Management Platform.
- You will work with Databricks, AWS, APIs, and AI-powered agents to improve incident workflows and operational visibility.
Key Responsibilities:
- Develop production-grade API and webhook integrations connecting alerting platforms, Jira Cloud, and internal services.
- Build reliable data pipelines using Databricks, Delta Lake, PySpark, and SQL, ensuring data quality, governance, and reconciliation.
- Establish automated testing, failure recovery mechanisms, and operational documentation for platform resilience.
Requirements:
- At least 5 years of professional experience in Data Engineering, Backend Integration Engineering, or a closely related role.
- Strong hands-on expertise with Databricks, Delta Lake, PySpark, AWS, REST APIs, and Python frameworks like FastAPI or Flask.
- Experience integrating LLMs or AI agents into real-world workflows, plus solid fundamentals in Git, CI/CD, and testing.
Benefits:
- 100% remote work with a multicultural, globally distributed engineering team.
- Exposure to modern technologies including Databricks, Delta Lake, AWS, and AI automation.
- Initial 3-month contract with possibility of extension and high strategic impact on a critical engineering initiative.
Jobgether
This position is listed on behalf of a partner company that manages all applications and next steps. The hiring team is multicultural, globally distributed, and remote-first, with an emphasis on technical excellence and collaboration.