Forward Deployed Engineer - Palantir Foundry (TS/SCI cleared)

Accenture Federal Services•Colorado Springs, CO

20h•Onsite

About The Position

As a Forward Deployed Engineer at Accenture Federal Services (AFS), you will be responsible for helping clients solve their most pressing challenges across various sectors including the battlefield, supply chains, benefits programs, and broader government operations. You will work as part of a small team of engineers, domain experts, and other Deployment Strategists to deploy Palantir software and build tailored solutions that make a measurable impact on client operations. This role involves iterating quickly, building from scratch, and transforming client operations at uncommon speed, reshaping how entire organizations function by providing powerful tools to those who can drive change.

Requirements

Must be a US Citizen with an active TS/SCI clearance.
Ability to work full time on-site in Colorado Springs, CO.
Proven experience building data pipelines, managing datasets, and deploying applications within Palantir Foundry.
Practical skills to build and maintain production-grade data pipelines, data connections, and ontologies.
General knowledge of Palantir Foundry platform capabilities and specific applications useful for data engineering.
Data pipeline development in Foundry.
Develop transforms on structured (tabular) and unstructured datasets in Foundry.
Apply best practices when building data pipelines.
Data pipeline maintenance in Foundry.
Effectively investigate and fix common issues in data pipelines.
Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows.
Familiarity with recommended support structures.
Data connection and integration in Foundry.
Familiarity with architecture and capabilities of Data Connection.
Set up sources and syncs ingesting tabular data or raw files from external systems to Foundry.
Ontology design and development in Foundry.
Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements.
Bachelor’s degree in Computer Science or related field.
Demonstrated ability to build production-grade code that leverages both structured and unstructured datasets.
Strong foundation in machine learning.
Strong programming skills with demonstrated proficiency in Python, Java, C++, TypeScript/ JavaScript, or similar.
Ability to travel, dependent on client and team needs.

Nice To Haves

Experience building solutions with large language models.
Active Federal security clearance.

Responsibilities

Partner with engineers, program managers, and domain specialists to conceive, architect, build, and maintain applications that meet AFS clients’ needs.
Understand a client’s most critical objectives and synthesize disparate information into a cohesive vision and actionable roadmap, interpreting what the data signifies and outlining an impact-based plan to rapidly go from use case to prototype to scaled deployment.
Quickly iterate, build from scratch, and help transform clients' operations at uncommon speed.
Develop production-grade solutions that make sense of the client’s data and process it through an actionable workflow that can help clients make better decisions.
Collaborate with technical and non-technical colleagues to define solution requirements, iterate on the solution, and ship code.
Build and maintain production-grade data pipelines, data connections, and ontologies within Palantir Foundry.
Develop transforms on structured (tabular) and unstructured datasets in Foundry.
Apply best practices when building data pipelines.
Effectively investigate and fix common issues in data pipelines.
Contribute to logic changes and performance improvements to transform pipelines feeding mission critical workflows.
Familiarity with recommended support structures for data pipelines.
Familiarity with the architecture and capabilities of Palantir Foundry's Data Connection.
Set up sources and syncs for ingesting tabular data or raw files from external systems to Foundry.
Provide data engineering context during ontology design and implement pipelines backing ontology objects and links based on application requirements.