Python Data Engineer — AWS Glue & Data Pipelines

Machine Learning Technologies, LLC; Plano (TX); On-site; USD 90,000 - 140,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a hands-on Data Engineer to build and maintain data pipelines across enterprise data platforms, with a focus on data lake and lakehouse connectivity rather than architecture work.

The role requires strong Python development and practical AWS experience (S3, Glue, Lake Formation) and CI/CD familiarity. Collaboration with platform and engineering teams will be essential to deliver reliable data services.

Qualifications

• Hands-on Python programming experience.
• Practical AWS experience with S3, AWS CLI, EC2, Glue, and Lake Formation.
• Understanding of data lakes and data pipeline development.
• Experience with CI/CD pipelines, Jenkins, and Bitbucket.

Responsibilities

• Build and maintain data pipelines using Python and AWS services.
• Develop data ingestion and connectivity solutions for enterprise data platforms.
• Work with AWS data lake services, including S3, Glue, and Lake Formation.
• Use AWS CLI and EC2 to support data engineering workloads.
• Implement and maintain CI/CD pipelines using Jenkins and Bitbucket.
• Troubleshoot data pipeline issues and improve data quality and reliability.
• Collaborate with platform and engineering teams to support shared data services.

Skills

Python programming

Data pipelines

CI/CD

AWS data lakes

Tools

AWS S3

AWS CLI

EC2

AWS Glue

Lake Formation

Jenkins

Bitbucket

Snowflake

Databricks

Apache Iceberg

Terraform

PySpark

Apache Spark

Job description

Machine Learning Technologies, LLC is seeking a hands-on Data Engineer to build and maintain data pipelines across enterprise data platforms, with a focus on data lake and lakehouse connectivity rather than architecture work.

The role requires strong Python development and practical AWS experience (S3, Glue, Lake Formation) and CI/CD familiarity. Collaboration with platform and engineering teams will be essential to deliver reliable data services.