Glint Tech Solutions
Python Data Engineer (Palantir)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Python Data Engineer (Palantir) for a leading telecommunications technology company, offering a contract length of "unknown" and a pay rate of "unknown." Key skills required include strong Python, Palantir Foundry/Gotham, and ETL experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Automation #SQL (Structured Query Language) #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #PySpark #Palantir Foundry #Data Processing #Pandas #"ETL (Extract #Transform #Load)" #PostgreSQL #Airflow #MongoDB #Python #Hadoop #Data Quality #Scala #GCP (Google Cloud Platform) #Azure #HDFS (Hadoop Distributed File System) #NumPy #MySQL #Data Engineering
Role description
Glint Tech Solutions is hiring a Python Data Engineer for our client, a leading telecommunications technology company. We are seeking a highly skilled professional with strong experience in Palantir Foundry/Gotham to support enterprise-scale data engineering initiatives.
Required Skills:
Strong Python development experience (ETL, automation, data processing)
Hands-on experience with Palantir Foundry/Gotham
PySpark, Pandas, NumPy
SQL (PostgreSQL/MySQL) and MongoDB
Airflow or similar workflow orchestration tools
AWS, Azure, or GCP experience
Spark, Hadoop, S3, HDFS, and data warehousing concepts
Responsibilities:
Build and optimize scalable ETL/ELT pipelines
Develop data models and workflows
Ensure data quality, validation, and performance optimization
Integrate data from multiple enterprise data sources
Glint Tech Solutions is hiring a Python Data Engineer for our client, a leading telecommunications technology company. We are seeking a highly skilled professional with strong experience in Palantir Foundry/Gotham to support enterprise-scale data engineering initiatives.
Required Skills:
Strong Python development experience (ETL, automation, data processing)
Hands-on experience with Palantir Foundry/Gotham
PySpark, Pandas, NumPy
SQL (PostgreSQL/MySQL) and MongoDB
Airflow or similar workflow orchestration tools
AWS, Azure, or GCP experience
Spark, Hadoop, S3, HDFS, and data warehousing concepts
Responsibilities:
Build and optimize scalable ETL/ELT pipelines
Develop data models and workflows
Ensure data quality, validation, and performance optimization
Integrate data from multiple enterprise data sources
