Python Data Engineer

Glint Tech Solutions LLC; Plano (TX); On-site; USD 110,000 - 160,000; Full time

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

Python Data Engineer role at Glint Tech Solutions LLC for a telecommunications technology client, onsite in Plano, TX, with emphasis on Palantir Foundry/Gotham to support enterprise-scale data engineering initiatives.

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

Requirements

• Strong Python development experience focused on ETL, automation, and data processing
• Hands-on experience implementing solutions on 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

Technologies

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