Data Engineer – Python & AWS Glue Data Platforms

SCI SOLUTIONS GLOBAL; Plano (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

SCI SOLUTIONS GLOBAL is seeking a hands-on Data Engineer with strong Python and AWS experience to build and maintain data pipelines and connectivity across enterprise data platforms. The role focuses on data integrations and supporting data lake and lakehouse technologies rather than enterprise architecture.

Key responsibilities include building pipelines, data ingestion, and collaboration with platform teams to ensure data quality and reliability.

Qualifications

• Hands-on experience with AWS S3, Glue, LakeFormation, and related data services.
• Experience building and maintaining production data pipelines.
• Familiar with CI/CD using Jenkins and Bitbucket.

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 LakeFormation.
• 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.

Skills

Python

AWS services

Data pipelines

CI/CD

Data lakes

Tools

S3

AWS CLI

EC2

Glue

LakeFormation

Job description

Plano, United States | Posted on 11/02/2026

Relocation: Open

Open for W2 only- No c2c/1099 or third party resumes

Due to the nature of the roles client is onlyaccepting USC/GC /GC EAD only no other visas accepted .

RoleOverview

We areseeking a hands-on Data Engineer with strong Python and AWS experience to buildand maintain data pipelines and connectivity solutions across enterprise dataplatforms. This role focuses on developing reliable data integrations andsupporting data lake and lakehouse technologies rather than designingenterprise architecture.

KeyResponsibilities

• Build and maintain data pipelines using Python and AWS services.
  
• Develop data ingestion and connectivity solutions for enterprisedata platforms.
  
• Work with AWS data lake services, including S3, Glue, and LakeFormation.
  
• 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 andreliability.
  
• Collaborate with platform and engineering teams to support shareddata services.
  
• Contribute to data platform solutions involving Apache Iceberg,Snowflake, and Databricks, as needed.
  

RequiredSkills

• Practical AWS experience with S3, AWS CLI, EC2, Glue, and LakeFormation.
  
• Understanding of data lakes and data pipeline development.
  
• Experience with CI/CD pipelines, Jenkins, and Bitbucket.
  
• Ability to build, test, troubleshoot, and maintain production datapipelines.
  

PreferredSkills:

• Snowflake, Databricks, and Apache Iceberg.
  
• AWS Bedrock and exposure to AI agentic workflows.