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# Senior AWS Python Developer / Pyspark Data Engineer

- **Company:** System One
- **Location:** Columbia, SC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Application Integration Architecture, Big Data, Cyber Security, Information Systems, Continuous Integration, Information Engineering, Data Infrastructure, Data Transformation, Database Queries, Software Debugging, Apache Hadoop, Apache Hive, Python (Programming Language), Performance Tuning, Data Processing, Freeform SQL, Sql Optimization, Apache Spark, Software Troubleshooting, Electronic Medical Records, Gitlab, Fastapi, Pyspark, Infrastructure Automation Frameworks, Information Technology, Restful APIs, Terraform
- **Published:** October 23, 2026
- **Apply:** https://www.dice.com/job-detail/2b0b5225-8d79-4d6f-8248-5ed26cf50dd7

## About the Role

We are looking for a Senior Python + PySpark Data Engineer with strong AWS big data experience - ideally someone who has worked in cybersecurity or security data environments.
This is primarily a hands-on data engineering role, not a traditional Python application developer role., * 8+ years of hands on Python development, including development of data intensive and big data applications.

 * Strong Python programming fundamentals and experience developing scalable, production grade applications.
 * 5+ years of experience working with Apache Spark/PySpark, including troubleshooting and optimizing Spark jobs.
 * 5+ years of hands on development experience with AWS, including EMR, Lambda, EventBridge, Step Functions, Redshift, S3, and Glue.
 * Advanced SQL skills, including complex queries, data transformations, joins, and recursive CTEs.
 * Experience developing and consuming REST APIs and integrating applications with external services and data sources.
 * Strong background working with large datasets, including data manipulation, transformation, analysis, and processing.
 * Experience with big data technologies such as Hadoop/EMR, Spark, and Hive.
 * 4+ years of experience working with AI related technologies or applications.
 * Hands on CI/CD and infrastructure automation experience using GitLab and Terraform.
 * Strong debugging, performance tuning, analytical, and problem solving skills.
 * Ability to collaborate effectively across development teams and a matrixed organization.
 * Bachelor's degree in Computer Science, Information Systems, or a related field.?

## Description

* Developing scalable Python applications and data processing solutions
 * Integrating APIs
 * Writing and optimizing complex SQL queries
 * Processing large datasets using Spark and AWS services
 * Troubleshooting application and data processing performance
 * Contributing to CI/CD automation
 * Working closely with technical and business teams across the organization