AWS Data Engineer

System One; Birmingham (AL); On-site; USD 110,000 - 170,000; Full time

Job summary

Systemone, Birmingham, AL-based, is seeking a Senior AWS Data Engineer to join a full-time, onsite role focused on enterprise risk analytics in a large financial services environment.

You will design and maintain cloud-based data pipelines with AWS technologies (Redshift, Glue), using Python and SQL to deliver reliable analytics and automated processes. The role requires strong problem-solving and collaboration across teams.

Job description

Job Title: AWS Data Engineer

Duration: Full Time / Permanent Position

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

Work Mode: 5 Days Onsite

Systemone is seeking a Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment.

This role will focus on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with particular emphasis on Amazon Redshift, AWS Glue, Python, and SQL. The successful candidate will work with complex business and technical requirements, develop reliable data processing solutions, and contribute to automation and CI/CD practices.

Your Future Duties and Responsibilities

As a senior level resource, this individual should be comfortable working independently, troubleshooting complex data issues, collaborating with cross functional teams, and helping drive solutions from requirements through implementation and production support. Exposure to Generative AI and opportunities to apply AI driven automation within data engineering workflows is also valuable.

Required Qualifications to Be Successful in This Role

• 5+ years of hands-on experience with AWS based data engineering.
• Experience with Amazon Redshift, including data processing and performance optimization.
• Hands-on experience developing ETL/data pipelines using AWS Glue.
• Strong Python development skills for data processing and automation.
• Advanced SQL skills, including complex queries and large data sets.
• Experience with CI/CD pipelines and automated deployment practices.
• Experience developing and maintaining enterprise scale data and analytics applications.
• Understanding of data quality, troubleshooting, performance, and production support.
• Exposure to Generative AI (GenAI) and AI enabled automation use cases.
• Ability to work through complex requirements with limited oversight.
• Strong communication and collaboration skills.
• Financial services, enterprise risk, or risk analytics experience is preferred.

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field.

Ref: #404-IT Pittsburgh