Senior AWS Data Engineer

System One; Pittsburgh (Allegheny County); On-site; USD 120,000 - 150,000; Full time

Job summary

System One seeks a Senior AWS Data Engineer to support the development, enhancement, and maintenance of enterprise risk analytics applications within a large-scale financial services environment. The role focuses on building and improving cloud-based data pipelines and analytics solutions using AWS technologies, with emphasis on Amazon Redshift, AWS Glue, Python, and SQL.

You will work with complex business requirements, build reliable data processing solutions, and contribute to automation and

Qualifications

• 5+ years of hands-on experience with AWS based data engineering.
• Experience with Amazon Redshift, 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 with complex queries and large datasets.
• 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 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 preferred.

Responsibilities

• Develop and maintain enterprise risk analytics data pipelines and applications.
• Collaborate with cross-functional teams on requirements through production support.
• Contribute to automation and CI/CD practices; explore GenAI opportunities in data workflows.

Skills

AWS data engineering

Data pipeline development

Python development

SQL proficiency

CI/CD pipelines

Communication & collaboration

Independent troubleshooting

GenAI exposure

Education

Bachelor's degree in CE/IT/Engineering/Data Science

Tools

Amazon Redshift

AWS Glue

Job description

Job Title:

Senior AWS Data Engineer

Location:

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

Description:

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

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.

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.

Education:

Bachelor's degree in Computer Science, Information Systems, or a related field.?

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Ref: #404-IT Pittsburgh