Own and build JSSI’s AI-first data platform, including Bronze, Silver, and Gold pipelines in Microsoft Fabric and OneLake. Develop governed semantic layers for Power BI, ingest data into Azure SQL and ADLS Gen2, and enforce quality, lineage, security, governance, and PII controls aligned with Entra ID. Expose curated datasets to AI agents through approved APIs or MCP servers while using Claude Code and documentation-first engineering practices.
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.
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 Fabric & Azure SQL 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; review and validate all AI-generated code before it ships
- Orchestrate, monitor, and optimize pipelines for reliability, performance, and Fabric capacity (CU) cost
- Manage Git-based version control and Fabric deployment pipelines across dev / test / prod
- Handle ad-hoc requests (report enhancements and fixes, and dataset enhancements and fixes) across Microsoft Fabric and Power BI
- Build and maintain paginated (operational) reports
- Write, debug, and tune SQL for reporting, data investigation, and fixes
- Use Claude Code to investigate and diagnose platform, data-quality, and reporting issues, tracing root cause across pipelines, lake house tables, and semantic models before drafting a validated fix
- Support and optimize Power BI semantic models and DAX for downstream consumers
Own the data platform
Support reporting and ad-hoc requests
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.
JSSI is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristic protected by law.
JSSI does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or Recruiting Team.
Jet Support Services, Inc. Chicago, Illinois, USA Office
Chicago, IL, United States, 60607
Similar Jobs
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
Own the eCommerce Product Details and Parts Solutions roadmap, improving product detail pages, 2D diagrams, 3D models, maintenance kits, and repair experiences. Partner with Engineering, UX, Product Information, and business stakeholders to prioritize customer-focused improvements. Lead scrum processes, manage backlogs, analyze customer behavior, and deliver measurable gains in purchase confidence, conversion, and part-selection accuracy.
Top Skills:
2D Parts Diagrams3D Parts ModelsAgileCustomer AnalyticsEcommerceScrumUser Acceptance Testing (Uat)
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Leads strategic process-improvement initiatives across digital marketplace operations. Maps current and future-state processes, conducts data analysis, develops business cases, manages improvement roadmaps, and oversees cross-functional project delivery. Partners with finance, analytics, and business stakeholders to influence priorities, implement changes, measure outcomes, and improve adoption. Requires strong communication, process design, executive presentation, and change-management skills.
Top Skills:
AIGenesysLucidchartPower BISalesforceTableauVisio
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Administer and improve Workday and multi-platform HR security, including role-based access, security groups, access reviews, request approvals, audit support, governance documentation, and compliance controls. Evaluate elevated access requests, identify risks, resolve routine issues, coordinate remediation, and escalate complex decisions. Partner with HR, IT, Legal, and Compliance stakeholders to strengthen policies, processes, and least-privilege access across Workday, Peakon, UKG, Prism, and HR data platforms.
Top Skills:
Cei Hr OdsExcelMicrosoft FabricPeakonPower BIPrismSailpointServicenowSharepointTableauUkgWorkday
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
