Senior Data Engineer – Python, PySpark & AWS

Sci Solutions Global • Plano, TX

2d • Onsite

About The Position

We are seeking a hands-on Senior Data Engineer to develop and maintain scalable data pipelines and distributed data processing solutions. The role supports production data engineering workloads, cloud infrastructure, and data orchestration. It is located in Plano, Texas, and is open to relocation. The position accepts W-2 candidates only; C2C, 1099, and third-party resumes are not accepted. Due to client requirements, applicants must be U.S. citizens, green card holders, or green card EAD holders.

Requirements

• Strong hands-on experience with Python and PySpark.
• Experience with big-data processing and production data pipelines.
• AWS experience with S3, EMR, and Lambda.
• Working knowledge of Terraform.
• Familiarity with Kafka, MQ messaging, REST APIs, Java, and Cassandra.
• Experience with Airflow, Control-M, or other workflow scheduling tools.

Nice To Haves

• Databricks experience.
• Exposure to machine-learning workflows.

Responsibilities

• Develop, test, and maintain ETL/ELT data pipelines using Python and PySpark.
• Build and support big-data processing solutions on AWS using S3, EMR, and Lambda.
• Implement infrastructure automation using Terraform.
• Develop data integrations using REST APIs, Kafka, and MQ messaging.
• Support data storage and retrieval using Cassandra.
• Orchestrate and monitor workflows using Airflow, Control-M, and native schedulers.
• Troubleshoot pipeline failures and optimize performance, reliability, and data quality.

What This Job Offers

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