Why this role stands out
This dynamic role offers an exceptional opportunity to accelerate your career by architecting high-impact big data solutions within a collaborative AWS-focused environment. You will thrive here if you are a seasoned engineer passionate about solving complex data challenges and leveraging cutting-edge cloud technologies to drive innovation. Take the next step in your professional journey and apply today to join this talented team.
Quick overview
Job description
Job Title: Senior AWS Python Developer / PySpark Data Engineer
Location: Lafayette, LA · Knoxville, TN · Columbia, SC · Birmingham, AL
Type: Direct Hire
Work Model: Hybrid
Overview
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.
Responsibilities
- 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
Requirements
- 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.?
System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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Ref: #404-IT Pittsburgh
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