AWS Glue Data Engineer

This role is for an AWS Glue Data Engineer with a contract length of "unknown," offering a pay rate of "$X/hour." Key skills include AWS Glue, Python, SQL, and experience in financial data environments. A bachelor's degree and 5+ years of data engineering experience are required.

United States

$ USD

680

January 4, 2026

Fort Mill, SC

We are seeking a skilled and motivated AWS Glue Data Engineer to join our client’s growing Trade Technology team. In this role, you will design, develop, and maintain modern, scalable ETL pipelines that enable efficient data integration and transformation across complex trading platforms. This position offers the opportunity to work on high-impact data initiatives that directly support trading operations and advance the organization’s overall data strategy.

• Design, develop, and maintain ETL pipelines using AWS Glue to process and manage trade-related data.
• Collaborate with data analysts, data scientists, and operations teams to define requirements and deliver high-quality data solutions.
• Integrate AWS Glue with services such as Amazon S3, Lambda, Redshift, and RDS to optimize data flow and accessibility.
• Ensure data quality, performance, and reliability across all pipelines and transformations.
• Monitor, troubleshoot, and optimize ETL jobs for scalability, resilience, and cost efficiency.
• Document data flows, transformation logic, and architectural decisions.
• Participate in Agile development cycles, contributing to sprint planning, delivery, and continuous improvement.
• Support production deployments, perform maintenance, and deliver enhancements as needed.

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• 5+ years of experience in data engineering or software development.
• Hands‑on expertise with AWS Glue and related AWS services (S3, Lambda, Redshift, Cloud Watch).
• Strong proficiency in Python and SQL for scripting and data manipulation.
• Experience with version control systems (e.g., Git) and CI/CD processes.
• Familiarity with financial data, trading systems, or other complex transactional environments is a plus.
• Excellent communication skills and ability to collaborate effectively in a cross‑functional, Agile environment.

• AWS Certifications (e.g., AWS Certified Data Analytics – Specialty).
• Experience with Apache Kafka, Amazon EKS, or other streaming technologies.
• Knowledge of data modeling and systems‑of‑record (SOR) design principles.
• Exposure to Agile/Scrum and Dev Ops best practices.

Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.

The Company

A prominent fortune 500 financial services firm with a nationwide network of independent financial advisors. This company offers an extensive selection of investment products and services to individuals, businesses, and institutions, with a strong emphasis on utilizing innovation and technology to cultivate client relationships.