À propos
You will work closely with teams across Supply Chain & Manufacturing, Finance & Accounting, Human Resources, Software, Field Operations and R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases, ranging from real-time reporting to operations-focused AI/ML solutions. This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON's headquarters in Austin, TX and reports to the Senior Director of Operations.
RESPONSIBILITIES:
Lead data ingestion and transformation pipelines within Palantir Foundry, integrating data from internal tools, SaaS platforms, and industrial systems
Model and maintain high-quality, governed data assets to support use cases in reporting, diagnostics, forecasting, and automation
Build analytics frameworks and operational dashboards that give teams real-time visibility into project progress, cost, equipment status, and material flow
Partner with business stakeholders and technical teams to translate pain points and questions into scalable data solutions
Drive the development of advanced analytics capabilities, including predictive maintenance, proactive purchasing workflows, and operations intelligence
Establish best practices for pipeline reliability, versioning, documentation, and testing within Foundry and across the data platform
Mentor team members and contribute to a growing culture of excellence in data and systems engineering
RESPONSIBILITIES :
8+ years of experience in data engineering, analytics engineering, or backend software development
Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
Strong hands-on experience with Palantir Foundry, including Workshop, Code Repositories, Ontologies, and Object Models
Proficiency in Python and SQL for pipeline development and data modeling
Experience integrating data from APIs, machine data sources, ERP systems, SaaS tools, and cloud storage platforms
Strong understanding of data modeling principles, business logic abstraction, and stakeholder collaboration
Proven ability to independently design, deploy, and scale data products in fast-paced environments
PREFERRED SKILLS AND EXPERIENCE:
Experience supporting Manufacturing, Field Operations, or Supply Chain teams with near real-time analytics
Familiarity with platforms such as Procore, Coupa, NetSuite, or similar
Experience building predictive models or workflow automation in or on top of enterprise platforms
Background in data governance, observability, and maintaining production-grade pipelines
ICON is an equal opportunity employer committed to fostering an innovative, inclusive, diverse and discrimination-free work environment. Employment with ICON is based on merit, competence, and qualifications. It is our policy to administer all personnel actions, including recruiting, hiring, training, and promoting employees, without regard to race, color, religion, gender, sexual orientation, gender identity, national origin or ancestry, age, disability, marital status, veteran status, or any other legally protected classification in accordance with applicable federal and state laws. Consistent with the obligations of these laws, ICON will make reasonable accommodations for qualified individuals with disabilities.
Furthermore, as a federal government contractor, the Company maintains an affirmative action program which furthers its commitment and complies with recordkeeping and reporting requirements under certain federal civil rights laws and regulations, including Executive Order 11246, Section 503 of the Rehabilitation Act of 1973 (as amended) and the Vietnam Era Veterans' Readjustment Assistance Act of 1974 (as amended).
Headhunters and recruitment agencies may not submit candidates through this application. ICON does not accept unsolicited headhunter and agency submissions for candidates and will not pay fees to any third-party agency without a prior agreement with ICON.
As part of our compliance with these obligations, the Company invites you to voluntarily self-identify as set forth below. Provision of such information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your employment or subject you to any adverse treatment. Any and all information provided will be considered confidential, will be kept separate from your application and/or personnel file, and will only be used in accordance with applicable laws, orders and regulations, including those that require the information to be summarized and reported to the federal government for civil rights enforcement purposes.
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Compétences linguistiques
- English
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