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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AWS Data Engineer - **Company:** Cgi Inc. - **Location:** Plano, TX, United States - **Experience:** Expert - **Salary:** $110,100.0 - $123,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Big Data, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Database Queries, Python (Programming Language), Performance Tuning, Standard Sql, SQL Databases, Working Model 2D, Data Processing, Sql Optimization, Generative AI, Information Technology, Deployment Automation, AWS Glue, Data Analytics, AWS Data Analytics, Data Pipelines, Amazon Redshift - **Published:** August 31, 2026 - **Apply:** https://www.adzuna.com/details/5861071127 ## About the 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., * Amazon Web Services Cloud * Analytical Thinking * Data Engineering * Data Engineering * Python * Risk analysis * SQL * ETL ## Description CGI 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. We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us for an average of 26 years!. This role is located at a client site in either Lafayette, LA, Knoxville, TN, Birmingham, AL or Columbia, SC. A hybrid working model is acceptable., CGI 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. 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Making Data Warehouses fast. 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