Data
Engineer – Python & AWS Glue Data Platforms
Location:
Plano, TX
Relocation
: Open
Open for W2 only- No c2c/1099 or third party resumes
Due to the nature of the roles client is only
accepting USC/GC /GC EAD only no other visas accepted.
Role
Overview
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.
- Contribute to data platform solutions involving Apache Iceberg,
Snowflake, and Databricks, as needed.
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.