Data Engineer – Python & AWS Glue Data Platforms

SCI SOLUTIONS GLOBAL • Plano, TX

3d

About The Position

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. The role focuses on developing reliable data integrations and supporting data lake and lakehouse technologies rather than designing enterprise architecture. The position is located in Plano, Texas, and relocation is open. Applicants must be eligible to work under the client’s stated restrictions: U.S. citizens, green card holders, or green card EAD holders. W-2 applicants only; C2C, 1099, and third-party resumes are not accepted.

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, Jenkins, and Bitbucket.
• Ability to build, test, troubleshoot, and maintain production data pipelines.
• Must be eligible to work as a U.S. citizen, green card holder, or green card EAD holder, per the client's stated restrictions.
• Must be available for W-2 employment; C2C, 1099, and third-party resumes are not accepted.

Nice To Haves

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

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.
• Contribute to data platform solutions involving Apache Iceberg, Snowflake, and Databricks, as needed.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed