AWS Data Engineer

CGI•Reston, VA

1d•$108,300 - $137,100•Hybrid

About The Position

CGI has an immediate need for a AWS Data Engineer to join our team. This is an exciting opportunity to work in a fast-paced team environment supporting one of the largest customers. We take an innovative approach to supporting our client, working side-by-side in an agile environment using emerging technologies. 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 Reston, VA. A hybrid working model is acceptable. We are seeking an experienced AWS Data Engineer to design, build, and maintain scalable data pipelines in a cloud-native environment. This role focuses on developing robust ETL/ELT processes, integrating data from multiple sources, and ensuring data reliability and quality across platforms. The ideal candidate will have strong hands-on experience with AWS data services and distributed data processing frameworks, along with the ability to collaborate within Agile teams. This position also involves monitoring production systems, supporting releases, and contributing to continuous improvement of data workflows.

Requirements

Strong experience with AWS data services such as Glue (PySpark), Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, and IAM
Hands-on experience building and maintaining ETL/ELT pipelines in a cloud environment
Solid Python skills, particularly for data transformation, automation, and validation tasks
Familiarity with distributed processing frameworks like Spark or PySpark
Experience integrating data from APIs, AWS services, and external enterprise systems
Working knowledge of monitoring and logging tools such as CloudWatch or Splunk
Exposure to working with commercial off-the-shelf (COTS) or enterprise data platforms
Understanding of Agile delivery methodologies and iterative development practices
Strong communication and documentation skills, with the ability to collaborate across teams
Willingness to support production deployments and participate in on-call rotations when needed

Nice To Haves

Relevant certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect) are a plus

Responsibilities

design, build, and maintain scalable data pipelines in a cloud-native environment
developing robust ETL/ELT processes
integrating data from multiple sources
ensuring data reliability and quality across platforms
monitoring production systems
supporting releases
contributing to continuous improvement of data workflows