Key Facts

Remote From:

Anywhere

Full time

Mid-level (2-5 years)

English

Hard Skills

Other Skills

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Collaboration
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Communication
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Knowledge Transfer
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Proactivity
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Mentorship
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Problem Solving

Roles & Responsibilities

Bachelor’s degree in a STEM field or equivalent forward-deployed engineering experience.
3+ years of experience developing solutions using Palantir Foundry and/or AIP.
Proficiency in Python, SQL, PySpark, and TypeScript, with strong data processing and software development skills.
Experience building data pipelines, operational workflows, and automation logic in enterprise environments; excellent communication skills; healthcare experience preferred but not required.

Requirements:

Design and implement automation workflows within Palantir AIP and Foundry to optimize revenue cycle operations.
Build and maintain data pipelines and transformation logic using PySpark and SQL.
Integrate disparate data sources to create unified, automated workflows.
Develop custom dashboards, analytic tools, and applications to drive operational efficiency.

LingaTech

About LingaTech

LingaTech, Inc., a minority owned business, NMSDC MBE Certified, and is PA Small Diverse Business (SDB) Verified since 2014. We are a member of the Harrisburg Regional Chamber of Commerce & CREDC, and are registered with Hireveterans.com & PurplePlacement.com. We believe in technology innovation and customer partnership to deliver world class IT consultants, products and services. We provide high end consultants to partner with your organization to maximize your growth and achieve your IT goals. As your technology partner, when your business grows we grow with you. We offer software services in three major areas – Product development, Custom software development and Project Management. With professionals having more than 15 years of experience in software industry, our clients are assured of products/services that are of great quality.

Founded: 2018

Company size: 51 - 200

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Job description

Location: Mechanicsburg, PA
Engagement Type: Direct Hire
Onsite Requirement: Remote

Overview

The AI Platform Engineer will serve as a key technical partner within the Revenue Cycle group, leading the design, build, and implementation of automation solutions powered by Palantir’s AIP and Foundry ecosystems. This position blends deep engineering expertise with hands-on collaboration and solution deployment to enhance outpatient physical therapy revenue cycle workflows and drive tangible operational improvements.

The ideal candidate is a proactive problem-solver with practical experience in Palantir AIP and Foundry, strong software development capabilities, and a genuine interest in tackling complex operational problems through intelligent, data‑driven automation.

Responsibilities

Design and implement automation workflows within Palantir AIP and Foundry to optimize revenue cycle operations.
Build and maintain data pipelines and transformation logic using PySpark and SQL.
Integrate disparate data sources to create unified, automated workflows.
Develop custom dashboards, analytic tools, and applications to drive operational efficiency.
Collaborate with revenue cycle leaders to identify high-impact automation opportunities.
Ensure solutions are scalable, maintainable, and compliant with enterprise data governance and HIPAA security standards.
Provide documentation and knowledge transfer for long-term sustainability.
Mentor junior developers and uphold software development best practices.

Qualifications

Bachelor’s degree in a STEM field or equivalent forward-deployed engineering experience.
3+ years of experience developing solutions using Palantir Foundry and/or AIP.
Proficiency with Python, SQL, PySpark, and Typescript.
Strong understanding of data structures, cloud infrastructure, front-end tooling, and large-scale data processing.
Experience building data pipelines, operational workflows, and automation logic in enterprise environments.
Excellent communication skills and ability to work with both technical and non-technical stakeholders.
Healthcare experience preferred but not required.