AWS Data Engineer

System One; Knoxville (TN); On-site; USD 120,000 - 160,000; Full time

Job summary

System One is seeking an AWS Data Engineer to support Enterprise Risk Analytics initiatives in Knoxville, TN and nearby states. You will design and maintain cloud-based data solutions using AWS, with an emphasis on reliable data processing and scalable analytics.

Responsibilities include building data pipelines, ETL processes, and production-ready workloads, and applying Generative AI to automate data engineering tasks and improve operational efficiency.

Qualifications

• 5+ years of hands-on experience with AWS cloud services in data engineering environments.
• Experience developing and maintaining data solutions using Amazon Redshift.
• Hands-on experience with AWS Glue, including ETL jobs and data transformation workflows.
• Strong programming skills in Python for data processing, scripting, and automation.
• Advanced SQL skills, including complex queries, data transformations, and performance optimization.
• Experience developing and supporting ETL/data pipelines for analytics applications.
• Experience with CI/CD pipelines and modern software delivery practices.
• Familiarity with Generative AI (GenAI) technologies and their application to data engineering or automation use cases.
• Experience automating data engineering processes, workflows, and operational tasks.
• Ability to troubleshoot and support data applications in enterprise production environments.
• Experience working with financial services, risk analytics, or similarly regulated data environments is preferred.
• Educational Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.

Responsibilities

• Support the development, enhancement, and maintenance of Enterprise Risk Analytics applications within a financial services environment.
• Build and support cloud-based data solutions using AWS technologies, emphasizing reliable data processing, analytics, automation, and application performance.
• Collaborate with technical and business teams to develop and enhance data pipelines and ETL processes.
• Support data transformation and analytics workloads, maintaining production-ready solutions.
• Apply Generative AI and automation capabilities to improve data engineering processes and operational efficiency.

Skills

AWS

Amazon Redshift

AWS Glue

Python

SQL

ETL pipelines

CI/CD

GenAI

Production support

Financial services domain

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

Job description

Job Title: AWS Data Engineer

Location: Knoxville, TN, Columbia SC or Lafayette, LA or Birmingham, AL

Type: Direct Hire

Responsibilities

• Support the development, enhancement, and maintenance of Enterprise Risk Analytics applications within a financial services environment.
• Build and support cloud-based data solutions using AWS technologies, emphasizing reliable data processing, analytics, automation, and application performance.
• Collaborate with technical and business teams to develop and enhance data pipelines and ETL processes.
• Support data transformation and analytics workloads, maintaining production-ready solutions.
• Apply Generative AI and automation capabilities to improve data engineering processes and operational efficiency.

Requirements

• 5+ years of hands-on experience with AWS cloud services in data engineering environments.
• Experience developing and maintaining data solutions using Amazon Redshift.
• Hands-on experience with AWS Glue, including ETL jobs and data transformation workflows.
• Strong programming skills in Python for data processing, scripting, and automation.
• Advanced SQL skills, including complex queries, data transformations, and performance optimization.
• Experience developing and supporting ETL/data pipelines for analytics applications.
• Experience with CI/CD pipelines and modern software delivery practices.
• Familiarity with Generative AI (GenAI) technologies and their application to data engineering or automation use cases.
• Experience automating data engineering processes, workflows, and operational tasks.
• Ability to troubleshoot and support data applications in enterprise production environments.
• Experience working with financial services, risk analytics, or similarly regulated data environments is preferred.
• Educational Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field.

System One, and its subsidiaries including Joulé and 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.