Our U.S. Social Sector, Healthcare, and Public Sector Entities (SHaPE) practice delivers high-impact services to clients across three major sectors, including federal, state, and local governments. Within SHaPE, the Defense and Security subsector focuses on the U.S. Department of Defense (DoD), including the Office of the Secretary of Defense, major defense agencies, and military services, as well as members of the National Security Community.
You will work with our defense and security teams on some of their toughest issues, in a fast-paced, non-hierarchical, and caring environment.
You will be part of our global data engineering community and work in cross-functional Agile project teams alongside data scientists, machine learning engineers, other data engineers, project managers, and industry experts to innovate alongside clients and CSTs to develop new or existing assets.
By leveraging engineering frameworks and best practices, you will design and develop core data frameworks to drive meaningful mission outcomes for our clients by enabling software capabilities used by data engineers, data scientists, consulting teams and external clients. You will help to shift our model toward asset-based consulting and build a foundation for the expansion of our investment into our entrepreneurial culture.
While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more! Experience with event streaming and real-time data processing frameworks (ex. Apache Kafka, Kinesis) is desirable for high velocity data integration.