Data Engineer – Python & AWS Glue Data Platforms
SCI SOLUTIONS GLOBAL Plano, Texas, United States · $125K/yr
IT Services and IT Consulting · 11-50 employees
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About the role
Build and maintain data pipelines and connectivity solutions using Python and AWS services. Collaborate with engineering teams to support data lake and lakehouse technologies including S3, Glue, and Lake Formation.
What they look for
Requirements
Requires strong hands-on Python programming experience and practical knowledge of AWS data services. Candidates must have experience with CI/CD pipelines and the ability to troubleshoot production data workloads.
Full description
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.
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