Qualis1 Inc.
Palantir Foundry Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Palantir Foundry Engineer in Bloomfield, CT, offering a contract of 6–8 years. Required skills include Palantir Foundry expertise, Python, PySpark, advanced SQL, and experience in manufacturing or supply chain analytics. On-site work required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 25, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Bloomfield, CT
-
🧠 - Skills detailed
#Scala #Python #Cloud #Security #Data Modeling #Palantir Foundry #Data Transformations #Data Governance #Data Quality #Spark (Apache Spark) #Compliance #Code Reviews #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #AWS (Amazon Web Services) #Agile #PySpark #Business Analysis #Datasets
Role description
🚀 We're Hiring: Palantir Foundry Use Case Engineer 🚀
📍 Location: Bloomfield, CT
📅 Experience: 6–8 Years
We are looking for an experienced Palantir Foundry Use Case Engineer to join our growing team and help drive enterprise-scale digital transformation initiatives.
This role is ideal for professionals passionate about translating business problems into scalable, ontology-driven solutions on the Palantir Foundry platform.
🔹 Key Responsibilities:
✅ Configure and operationalize end-to-end business use cases on Palantir Foundry.
✅ Build and maintain datasets, pipelines, ontology models, and business applications using Foundry components such as Workshop, Contour, Slate, and Pipeline Builder.
✅ Design ontology-driven data models aligned with business processes across manufacturing, supply chain, quality, and sales domains.
✅ Develop and optimize data transformations using Python, PySpark, and SQL.
✅ Integrate enterprise data sources and ensure robust governance, security, and compliance standards.
✅ Collaborate with Product Owners, Business Analysts, and stakeholders in an Agile, POD-based delivery model.
✅ Establish CI/CD practices, perform code reviews, and continuously improve platform reliability and performance.
🔹 Mandatory Skills:
✔ Strong hands-on experience with Palantir Foundry (Datasets, Pipelines, Ontology, Workshop, Contour, Slate)
✔ Expertise in Foundry Transforms, Pipeline Builder, and Code Repositories
✔ Strong proficiency in Python and PySpark
✔ Advanced SQL skills (complex joins, optimization, window functions)
✔ Experience with ontology-based data modeling and enterprise analytics
✔ Experience in cloud-native environments, preferably AWS
✔ Strong understanding of data governance, security, and data quality frameworks
✔ Experience working in Agile environments with rapid sprint cycles and business demos
🔹 Good to Have:
➕ Experience in Manufacturing, Quality, Supply Chain, or Customer Analytics domains
➕ Knowledge of data governance and CoE operating models
➕ Exposure to applied analytics and pattern detection use cases
🚀 We're Hiring: Palantir Foundry Use Case Engineer 🚀
📍 Location: Bloomfield, CT
📅 Experience: 6–8 Years
We are looking for an experienced Palantir Foundry Use Case Engineer to join our growing team and help drive enterprise-scale digital transformation initiatives.
This role is ideal for professionals passionate about translating business problems into scalable, ontology-driven solutions on the Palantir Foundry platform.
🔹 Key Responsibilities:
✅ Configure and operationalize end-to-end business use cases on Palantir Foundry.
✅ Build and maintain datasets, pipelines, ontology models, and business applications using Foundry components such as Workshop, Contour, Slate, and Pipeline Builder.
✅ Design ontology-driven data models aligned with business processes across manufacturing, supply chain, quality, and sales domains.
✅ Develop and optimize data transformations using Python, PySpark, and SQL.
✅ Integrate enterprise data sources and ensure robust governance, security, and compliance standards.
✅ Collaborate with Product Owners, Business Analysts, and stakeholders in an Agile, POD-based delivery model.
✅ Establish CI/CD practices, perform code reviews, and continuously improve platform reliability and performance.
🔹 Mandatory Skills:
✔ Strong hands-on experience with Palantir Foundry (Datasets, Pipelines, Ontology, Workshop, Contour, Slate)
✔ Expertise in Foundry Transforms, Pipeline Builder, and Code Repositories
✔ Strong proficiency in Python and PySpark
✔ Advanced SQL skills (complex joins, optimization, window functions)
✔ Experience with ontology-based data modeling and enterprise analytics
✔ Experience in cloud-native environments, preferably AWS
✔ Strong understanding of data governance, security, and data quality frameworks
✔ Experience working in Agile environments with rapid sprint cycles and business demos
🔹 Good to Have:
➕ Experience in Manufacturing, Quality, Supply Chain, or Customer Analytics domains
➕ Knowledge of data governance and CoE operating models
➕ Exposure to applied analytics and pattern detection use cases
