JSSI is building an AI-first data platform, and the AI Data Engineer is the person who builds and owns it. You are the platform owner — responsible for the pipelines, the lakehouse, and the governed datasets that make AI and analytics possible across every JSSI business unit.
This is a hands-on, individual contributor role. You will design and build the data infrastructure that AI agents depend on, ensure data quality and governance are production-grade, and work at the intersection of data engineering and AI delivery. You will use Claude Code to build pipelines against JSSI standards and be a core part of how the organization accelerates.
Responsibilities
- Own Bronze / Silver / Gold pipelines in Microsoft Fabric and OneLake
- Model governed semantic layers; serve Power BI via Direct Lake
- Ingest business-unit data into Azure SQL and ADLS Gen2 with quality and lineage controls
- Enforce data governance, security, and PII handling aligned to Entra ID
- Expose curated datasets to AI agents through approved MCP servers only
- Use Claude Code to build pipelines against JSSI standards (CLAUDE.md / rules)
Own the data platform
Requirements
- Hands-on experience building and maintaining data pipelines in Microsoft Fabric, including Lakehouse architecture and OneLake
- Proficiency with Bronze / Silver / Gold medallion architecture and semantic layer modeling
- Experience with Azure SQL, ADLS Gen2, and data ingestion across multiple source systems
- Understanding of data governance, security, and PII handling practices, including Entra ID alignment
- Experience exposing data products via APIs or MCP-style interfaces for downstream AI or analytics consumption
- Active use of AI coding tools (such as Claude Code) as part of your development workflow — not aspirational, but current practice
- Experience building data infrastructure specifically to support AI agents, ML models, or agentic pipelines
- Familiarity with Power BI and Direct Lake connectivity
- Experience working within engineering standards, documentation-first workflows, and structured code review practices
- Exposure to MCP (Model Context Protocol) servers or similar AI data access patterns
- People management experience — this is an individual contributor role
- Aviation or MRO domain knowledge — curiosity and the ability to learn the business context matters more than knowing it on day one
Required
Strongly preferred
Not required
WHO THRIVES IN THIS ROLE
This role is a great fit for someone who takes genuine ownership of data infrastructure — not just someone who builds pipelines when tickets arrive, but someone who thinks about the platform as a product with real consumers. You are already using AI tools to write and ship code faster. You care about data quality as a first principle, not a nice-to-have. And you want to be part of building something that directly enables the AI-first future of a company, not supporting a legacy stack.
Skills Required
- Hands-on experience building and maintaining data pipelines in Microsoft Fabric, including Lakehouse architecture and OneLake
- Proficiency with Bronze, Silver, and Gold medallion architecture and semantic layer modeling
- Experience with Azure SQL, ADLS Gen2, and data ingestion across multiple source systems
- Understanding of data governance, security, and PII handling practices, including Entra ID alignment
- Experience exposing data products via APIs or MCP-style interfaces for downstream AI or analytics consumption
- Active use of AI coding tools such as Claude Code in the development workflow
- Experience building data infrastructure for AI agents, ML models, or agentic pipelines
- Familiarity with Power BI and Direct Lake connectivity
- Experience with engineering standards, documentation-first workflows, and structured code review practices
- Exposure to MCP servers or similar AI data access patterns
What We Do
For more than 30 years, Jet Support Services, Inc. (JSSI), has been the leading independent provider of maintenance support and financial services to the business aviation industry. JSSI is responsible for maintaining in excess of 2,000 business jets, regional jets and helicopters across the globe and serves customers through an infrastructure of certified technical advisors. JSSI leverages this technical knowledge, experience, buying power and data to provide support at every stage of the aircraft life cycle; from aircraft acquisition to aircraft teardown and part out. GTCR, a leading private equity firm, is a majority investor in JSSI.
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