Data Engineer

Robotics Technologies is hiring a hands-on Data Engineer to design, build, and operate data pipelines that connect enterprise data platforms. In this onsite role in Plano, TX, you will work across Python-based engineering and AWS services to support reliable ingestion, integration, and data lake or lakehouse workflows.

The work centers on building and maintaining production-grade pipelines, improving data quality, and troubleshooting issues as they arise. You will also partner with platform and engineering teams to help support shared data services used across the organization.

What you will do

• 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 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.

What you bring

• Strong hands-on Python programming experience.
• Practical AWS experience with S3, AWS CLI, EC2, AWS Glue, and Lake Formation.
• Understanding of data lakes and data pipeline development.
• Experience with CI/CD pipelines using Jenkins and Bitbucket.
• Ability to build, test, troubleshoot, and maintain production data pipelines.

Tools and technologies you will work with

• Python, AWS, AWS Glue, Amazon S3, Lake Formation, AWS CLI, EC2
• Jenkins, Bitbucket
• Snowflake, Databricks, Apache Iceberg
• AWS Bedrock, Terraform, PySpark, Apache Spark

Preferred skills

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