Data Engineer

Robotics Technologies; Plano (TX); On-site; USD 110,000 - 140,000; Full time

Job summary

Robotics Technologies in Plano, TX is hiring a hands-on Data Engineer, onsite. The role focuses on designing, building, and maintaining reliable Python and AWS Glue–based data pipelines and connectivity across enterprise platforms, with support for modern data lake and lakehouse patterns.

Responsibilities include building and maintaining data pipelines with Python and AWS services, developing ingestion and connectivity solutions, working with AWS data lake services such as S3, Glue, and Lake

Qualifications

• 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, including Jenkins and Bitbucket.
• Ability to build, test, troubleshoot, and maintain production data pipelines.

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 day-to-day 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

S3

EC2

AWS Glue

Lake Formation

CI/CD

Jenkins

Bitbucket

Data pipelines

Tools

Snowflake

Databricks

Iceberg

Bedrock

Terraform

PySpark

Spark

Job description

This hands-on Data Engineer position at Robotics Technologies is based in Plano, TX (onsite). The role centers on designing, building, and maintaining reliable Python and AWS Glue-based data pipelines and connectivity solutions across enterprise data platforms, with support for modern data lake and lakehouse patterns.

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 Amazon S3, AWS Glue, and AWS Lake Formation.
• Use AWS CLI and EC2 to support day-to-day 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.

Requirements

• 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, including Jenkins and Bitbucket.
• Ability to build, test, troubleshoot, and maintain production data pipelines.

Technologies

The role involves working with Python, AWS, AWS Glue, Amazon S3, Lake Formation, AWS CLI, EC2, Jenkins, and Bitbucket. Additional technologies used include Snowflake, Databricks, Apache Iceberg, AWS Bedrock, Terraform, PySpark, and Apache Spark.

Preferred Skills

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