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# Python Data Engineer

- **Company:** Sci Solutions Global
- **Location:** Plano, TX, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Big Data, Information Engineering, Python (Programming Language), Machine Learning, Software Engineering, Scripting, Electronic Medical Records, AWS Lambda, Pyspark, Cassandra, Apache Kafka, Restful APIs, Terraform, Databricks, Control M
- **Published:** October 19, 2026
- **Apply:** https://www.careerbuilder.com/job-details/python-data-engineer-plano-tx--82d4df96-aaef-48f9-8263-3b4111de8407

## About the Role

Software Engineering, Python Programming/Scripting Language, United States Citizen, EAD, Python Programming/Scripting Language, Software Engineering, Electronic Medical Records, Amazon Web Services (AWS), AWS Lambda, Java, Location: Plano, TX-Onsite* Type: W2 Only* Work Authorization: US Citizen, Green Card, or GC EAD preferred* Locals highly preferred

No C2C, 1099, or third-partyprofiles accepted.

 * Strong hands-on experiencein Python, PySpark and Bigdata technologies for data engineering.

 * Practical experience with AWS, specificallyS3, EMR, and Lambda.

 * Working knowledge of Terraform(infrastructure as code).

 * Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra

 * Working knowledge on Airflow, Control-M,native schedulers

Nice to have

 * Experience with Databricks (workspaces,notebooks, jobs).

 * Familiarity with machine learning models(e.g., training/inference workflows, model lifecycle) is a plus.

## Description

Hiring: Python Data EngineerLocation: Plano, TX-Onsite* Type: W2 Only* Work Authorization: US Citizen, Green Card, or GC EAD preferred* Locals highly preferredNo C2C, 1099, or third-partyprofiles accepted.* Strong hands-on experiencein Python, PySpark and Bigdata technologies for data engineering.* Practical experience with AWS, specificallyS3, EMR, and Lambda.* Working knowledge of Terraform(infrastructure as code).* Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra* Working knowledge on Airflow, Control-M,native schedulersNice to have* Experience with Databricks (workspaces,notebooks, jobs).* Familiarity with machine learning models(e.g., training/inference workflows, model lifecycle) is a plus.