We are looking for a Data Analytics and Business Intelligence Engineer to support a federal data modernization initiative focused on advancing enterprise analytics, cloud data capabilities, and data-driven decision support. You will help design, develop, and maintain secure, scalable data and reporting solutions across a broad suite of analytics platforms and AWS services. What You'll Do Build and maintain scalable data pipelines, marts, and visualization layers supporting analytical and operational missions. Develop dashboards and analytics using Tableau, SAS Viya, Oracle Analytics Server (OAS), OBIEE, and Sprinklr. Support integration of social engagement data into enterprise analytics solutions to provide mission-driven insights. Implement and optimize AI/ML and predictive models to support operational insight, anomaly identification, and improve decision-making. Leverage AWS tools such as S3, Glue, Redshift, and Lambda to manage cloud data workflows and transformation pipelines. Apply strong DevSecOps practices using GitHub, Jenkins, OpenShift , and automated testing methodologies. Work with cross-functional teams to improve data quality, consistency, and system performance. Support integration of social engagement and external data into enterprise analytics products relevant to mission needs. Ensure compliance with data governance, security policy, and accessibility standards.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
51-100 employees