Senior Data Engineer Job at ICON (Austin)

Senior Data Engineer

ICON

Location:
United States , Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

ICON is seeking a Senior Data Engineer to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company. 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.

Job Responsibility:

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

Requirements:

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

Nice to have:

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

Additional Information:

Job Posted:
January 20, 2026

Work Type:

On-site work

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