Data Engineer

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

Data Engineer – Python & AWS Glue Data Platforms:

We are seeking a hands‑on Data Engineer with strong Python and AWS experience to build and maintain data pipelines and connectivity solutions across enterprise data platforms. This role focuses on developing reliable data integrations and supporting data lake and lakehouse technologies rather than designing enterprise architecture.

Key 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.

Required Skills:

• Strong 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.
• Ability to build, test, troubleshoot, and maintain production data pipelines.

Preferred Skills:

• Snowflake, Databricks, and Apache Iceberg.
• AWS Bedrock and exposure to AI agentic workflows.
• Terraform, PySpark, or Apache Spark.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.