Senior Data Engineer – Python, PySpark & AWS

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 only accepting USC/GC /GC EAD only no other visas accepted .

We are seeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWS experience to develop and maintain scalable data pipelines and distributed data processing solutions. The ideal candidate will have experience supporting production data engineering workloads, cloud infrastructure, and data orchestration.

• Develop, test, and maintain ETL/ELT data pipelines using Python andPySpark.
• Build and support big-data processing solutions on AWS using S3,EMR, and Lambda.
• 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, andnative schedulers.
• Troubleshoot pipeline failures and optimize performance,reliability, and data quality.

• Strong hands-on Python and PySpark experience.
• 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.

Databricks experience and exposure to machine-learning workflows.