The Role
Develop and maintain solutions within Palantir Foundry; build and productionize machine learning models using Python and ML libraries; perform PySpark and SQL data engineering; connect Foundry to source systems (ERP, CRM, Kafka, S3, Snowflake) via Data Connection.
Summary Generated by Built In
- Palantir Expertise: 2+ years of dedicated, hands-on development experience within the Palantir Foundry ecosystem (Data Connection, Code Repos, Contour, Quiver, Workshop, Modeling Objectives). Palantir Certifications are a major plus.
- Data Science Background: 3+ years of experience building machine learning models (e.g., regression, classification, clustering, NLP, time-series forecasting) using Python libraries (Pandas, NumPy, Scikit-Learn, PyTorch, or TensorFlow).
- Big Data & Scripting: Strong proficiency in PySpark, SQL, and standard Python backend development.
- Integration Patterns: Familiarity with connecting Foundry to varied source systems (ERP, CRM, Kafka streams, S3 buckets, Snowflake) via Palantir Data Connection.
Skills Required
- 2+ years hands-on development experience with Palantir Foundry (Data Connection, Code Repos, Contour, Quiver, Workshop, Modeling Objectives)
- Palantir certifications
- 3+ years building machine learning models (regression, classification, clustering, NLP, time-series) using Python libraries (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow)
- Proficiency in PySpark, SQL, and Python backend development
- Familiarity integrating Foundry with ERP, CRM, Kafka streams, S3 buckets, and Snowflake via Palantir Data Connection
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.







