About The Role

About JSSI

Founded in 1989 and headquartered in Chicago, Jet Support Services, Inc. (JSSI) is the largest independent provider of hourly cost maintenance programs for business aviation. JSSI delivers comprehensive coverage for engines, airframes, and auxiliary power units (APUs) across more than 300 different aircraft makes and models, helping owners and operators stabilize maintenance budgets, maximize aircraft availability, and protect asset value throughout the lifecycle of ownership. JSSI has built a portfolio of complementary business lines designed to simplify the economic and technical complexity of business aviation; these include Maintenance teams, Traxxall maintenance tracking software, Parts & Engines, Conklin aircraft cost and performance data, and Aviation Capital asset-based financing solutions. Together, these offerings support owners, operators, and maintenance providers with integrated tools spanning ownership and maintenance planning, execution, and financial management. With more than 6,500 aircraft supported through programs and software platforms, JSSI leverages its unique independence, unmatched scale, and data-driven insight to deliver customized solutions and support models aligned to the interests of each client — regardless of aircraft platform. JSSI is backed by leading institutional investors GTCR, Genstar Capital, and Blackstone. Learn more at jetsupport.com.

Responsibilities

Own the data platform

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)

Requirements

Required

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

Strongly preferred

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

Not required

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

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.