This senior-level role involves building and optimizing big data pipelines using Python within a hybrid team at SES Systems Engineering Services. The position requires extensive experience with AWS services like EMR, Lambda, and Redshift, alongside big data tools such as Hadoop, Spark, and Hive. Key responsibilities include developing scalable data processing solutions, implementing end-to-end automation with Terraform, and collaborating on CI/CD pipelines. The opportunity appeals to engineers seeking to work with modern cloud architectures and contribute to complex data analysis projects. The role is based in Reston, Virginia, with a hybrid schedule requiring three days of in-office collaboration, offering a supportive environment for professional growth within a long-established technology firm.