Data Engineer – Palantir Foundry _____ Remote (TX, USA) ____ Contract
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position focused on Palantir Foundry, offering a long-term remote contract in TX, USA. Requires 5+ years in data engineering, proficiency in PySpark, Python, SQL, and Foundry certification. Coding tests will assess skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 22, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Stories #Spark (Apache Spark) #Agile #Data Pipeline #Business Analysis #SQL (Structured Query Language) #Data Engineering #Scala #"ETL (Extract #Transform #Load)" #SQL Queries #PySpark #REST (Representational State Transfer) #Data Cleansing #Palantir Foundry #Database Management #Databases #REST API #Cloud #Python
Role description
Job Title: Data Engineer – Palantir Foundry
Location: Remote – TX, USA
Long Term Contract
Position Overview
We are looking for a highly experienced and motivated Data Engineers to join our team. This role is ideal for someone with a strong background in PySpark, Python, and SQL, and deep expertise in Palantir’s Foundry data platform. You will be responsible for designing, developing, and optimizing scalable data pipelines to support critical business operations and analytics.
Key Responsibilities
• Develop and maintain robust data pipelines using Palantir Foundry.
• Ingest data from diverse sources (on-premises, cloud, REST APIs, files) into Foundry via Magritte.
• Author and optimize SQL queries for relational databases.
• Prepare, wrangle, visualize, and report data using Foundry tools (Code Workbook, Contour, Fusion, Spreadsheet).
• Troubleshoot and resolve pipeline-related issues to ensure performance and scalability.
• Collaborate with business analysts and subject matter experts to scope and analyze new integration use cases.
• Design data models and perform data cleansing and transformation.
• Build and manage product backlogs and user stories aligned with agile methodologies.
• Create and manage project deliverables across the application development lifecycle.
Qualifications
• Foundry Certified
• 5+ years of hands-on experience in data engineering with PySpark and Python.
• Strong understanding of Palantir Foundry’s architecture and development tools.
• Proficiency in SQL and relational database management.
• Experience with ingesting data via Magritte and optimizing large-scale pipelines.
• Familiarity with agile project methodologies and backlog management.
• Excellent problem-solving skills and ability to work cross-functionally.
Point to be noted, befor applying for this role –
• Python: 10/10 (will be a coding test)
• PySpark: 8/10
• SQL: 10/10
• Palantir Foundry: 8/10
If interested, please share resume to Bishnuu@acestackllc.com; Anamikav@acestackllc.com
Job Title: Data Engineer – Palantir Foundry
Location: Remote – TX, USA
Long Term Contract
Position Overview
We are looking for a highly experienced and motivated Data Engineers to join our team. This role is ideal for someone with a strong background in PySpark, Python, and SQL, and deep expertise in Palantir’s Foundry data platform. You will be responsible for designing, developing, and optimizing scalable data pipelines to support critical business operations and analytics.
Key Responsibilities
• Develop and maintain robust data pipelines using Palantir Foundry.
• Ingest data from diverse sources (on-premises, cloud, REST APIs, files) into Foundry via Magritte.
• Author and optimize SQL queries for relational databases.
• Prepare, wrangle, visualize, and report data using Foundry tools (Code Workbook, Contour, Fusion, Spreadsheet).
• Troubleshoot and resolve pipeline-related issues to ensure performance and scalability.
• Collaborate with business analysts and subject matter experts to scope and analyze new integration use cases.
• Design data models and perform data cleansing and transformation.
• Build and manage product backlogs and user stories aligned with agile methodologies.
• Create and manage project deliverables across the application development lifecycle.
Qualifications
• Foundry Certified
• 5+ years of hands-on experience in data engineering with PySpark and Python.
• Strong understanding of Palantir Foundry’s architecture and development tools.
• Proficiency in SQL and relational database management.
• Experience with ingesting data via Magritte and optimizing large-scale pipelines.
• Familiarity with agile project methodologies and backlog management.
• Excellent problem-solving skills and ability to work cross-functionally.
Point to be noted, befor applying for this role –
• Python: 10/10 (will be a coding test)
• PySpark: 8/10
• SQL: 10/10
• Palantir Foundry: 8/10
If interested, please share resume to Bishnuu@acestackllc.com; Anamikav@acestackllc.com
