Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Machine Learning Technologies LLC in Plano, TX seeks a hands-on Data Engineer with strong Python and AWS experience to build and maintain data pipelines across enterprise platforms. The role emphasizes reliable data integrations, data lake/lakehouse support, and connectivity rather than broad enterprise architecture.

You will develop ingestion solutions, leverage S3/Glue/Lake Formation, and implement CI/CD pipelines with Jenkins and Bitbucket, collaborating with platform teams to ensure data

Qualifications

• Hands-on Python programming experience.
• Experience with AWS data services (S3, Glue, Lake Formation) and data lake concepts.
• Experience building and maintaining production-grade data pipelines with CI/CD tooling (Jenkins/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

AWS

Data pipelines

Jenkins

Bitbucket

S3

Glue

Tools

Snowflake

Databricks

Apache Iceberg

Terraform

PySpark

Apache Spark

Job description

Job Overview

Job ID: J53267

Job Title: Data Engineer

Location: Plano, TX

Duration: 14 Months + Extension

Domain Exposure: Aerospace/ Airlines

Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

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.

Equal Opportunity Employer

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.

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