Onsite Python Data Engineer - Palantir & ETL Focus

Glint Tech Solutions LLC

Plano (TX)

On-site

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Glint Tech Solutions LLC seeks a Python Data Engineer to join an on-site team in Plano, TX, focusing on Palantir Foundry/Gotham to support enterprise-scale data engineering initiatives.

Responsibilities include building scalable ETL/ELT pipelines, developing data models and workflows, ensuring data quality, and integrating data from multiple sources for unified analytics. Strong Python and PySpark skills required.

Qualifications

  • Strong Python development experience focused on ETL, automation, and data processing.
  • Hands-on experience implementing Palantir Foundry and Gotham.
  • Proficiency with PySpark, Pandas, and NumPy.
  • SQL databases including PostgreSQL and MySQL, plus MongoDB.
  • Airflow or comparable workflow orchestration tools.
  • Experience with at least one cloud platform among AWS, Azure, or Google Cloud Platform.
  • Knowledge of Spark, Hadoop, S3, HDFS, and data warehousing concepts.

Responsibilities

  • Build and optimize scalable ETL and ELT pipelines to support data movement across enterprise systems.
  • Develop data models and data workflows to support analytics and data integration.
  • Ensure data quality and validation, and optimize performance across data pipelines.
  • Integrate data from multiple enterprise data sources to enable unified analytics.

Skills

Python
ETL/ELT pipelines
Data processing
SQL

Tools

Palantir Foundry/Gotham
PySpark
Pandas
NumPy
PostgreSQL
MySQL
MongoDB
Airflow
AWS
Azure
GCP
Spark
Hadoop
S3
HDFS

Job description

Glint Tech Solutions LLC seeks a Python Data Engineer to join an on-site team in Plano, TX, focusing on Palantir Foundry/Gotham to support enterprise-scale data engineering initiatives.

Responsibilities include building scalable ETL/ELT pipelines, developing data models and workflows, ensuring data quality, and integrating data from multiple sources for unified analytics. Strong Python and PySpark skills required.

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