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Data & AI Products Engineer

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Onsite

Data & AI Products Engineer

FTAI Aviation

Data & AI Products Engineer

Skills

SQL QueriesReactPythonData ScienceAIAzure

13 days ago

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Important information


Contract type:

Permanent

Salary:

$140,000 – $160,000 / year

Location:

New York, NY, USA

Work mode:

Onsite

Published on:

14 October 2026

What they need


ABOUT FTAI AVIATION LTD. (NASDAQ: FTAI)

FTAI owns and maintains commercial jet engines with a focus on the Maintenance, Repair and Exchange (MRE) of CFM56 and V2500 engines. FTAI’s propriety portfolio of products, including The Module Factory and a joint venture to distribute engine PMA helps make CFM56 and V2500 engine maintenance simpler, more cost-effective, significantly faster, and more environmentally friendly. Additionally, FTAI owns and leases jet aircraft which often facilitates the acquisition of engines at attractive prices. FTAI invests in aviation assets and aerospace products that generate strong and stable cash flows with the potential for earnings growth and asset appreciation.

FTAI operates globally and has offices in New York, Miami, Montreal, Singapore, Dubai, United Kingdom and Ireland.

JOB OVERVIEW

FTAI is building an internal Data & AI Products function that turns business data problems into scalable, production-grade applications used across Aerospace, Power, Accounting, and other business segments. We are looking for a Data & AI Products Developer to be the first addition to this team. You will build and own applications end to end, from requirements through deployment and ongoing enhancement, working directly with business stakeholders.

This is a development role, not a reporting role. You will build interactive tools, workflows, and decision-support applications that business users and leadership rely on to act on their data.

Responsibilities:

Product Development

  • Design, build, test, deploy, and maintain data-driven applications using Python, SQL, and modern front-end and AI-enabled tooling
  • Own defined products or workstreams from concept and prototype through production, adoption, and continued enhancement
  • Develop applications within Palantir Foundry, including Ontology, data pipelines, and Workshop, and contribute to custom applications built on Foundry’s SDKs and APIs
  • Contribute to AI-enabled products, including assistants and workflows integrated with internal company data

Data and Backend Engineering

  • Build data transformation logic and backend processes that power application features
  • Work with enterprise systems of record, internal databases, and Palantir to design the table structures and data flows behind each product
  • Support automated refresh processes, caching, and performance tuning so applications stay reliable and fast

Business Partnership

  • Work directly with business stakeholders to understand processes, pain points, and data needs, and translate them into clear technical requirements
  • Validate outputs with end users and iterate based on feedback
  • Help identify operational inefficiencies, risks, and cost-saving opportunities through application and analysis work

Quality and Operations

  • Follow and help shape development standards, testing, and documentation practices
  • Support deployment across development and production environments
  • Maintain and improve existing applications after release

Qualifications:

Required

  • Strong Python and SQL fundamentals
  • Experience developing data-driven applications
  • Ability to work across data transformation, backend logic, and application development
  • Hands-on experience with AI-assisted development workflows
  • Ability and willingness to learn and develop within Palantir Foundry
  • Strong analytical and problem-solving skills
  • Ability to translate business requirements into technical solutions
  • Comfort owning products through development, testing, deployment, and maintenance
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field, or equivalent experience
  • 3-6 years of relevant experience

Preferred

  • Prior experience with Palantir Foundry (Ontology, Workshop, pipelines)
  • Experience with Streamlit, React, or similar application frameworks
  • Familiarity with deployment automation and cloud environments such as Azure
  • Exposure to finance, accounting, aviation, asset leasing, or MRO data
  • Experience building or integrating LLM-powered applications

Equal Opportunity Employment Statement: Our company is an equal opportunity employer. We do not discriminate against any employee or applicant based on race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, genetic information, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by applicable federal, state, or local laws.

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