Are you a senior engineer interested in expanding the use of open-source intelligence (OSINT) data for end users and data scientists across the Intelligence Community? We're hiring a Senior Data Platform Engineer to help expand our AWS- and Kubernetes-based data lake into a community-wide data hub. Our goal is to modernize the unclassified OSINT data layer by developing new access patterns and services that support AI/ML enrichment, ETL pipelines, and data discovery and dissemination. If you are excited about building next-generation, scalable data architecture and applying your knowledge of the AWS ecosystem, this could be the perfect opportunity for you. What You'll Do in This Role • Build backend services using Java and the Spring ecosystem • Develop cloud-native solutions using AWS • Contribute to full-stack development using React and Next.js • Support event-driven architectures and distributed systems • Work across multiple projects within the data platform and data pipeline unit • Follow established Infrastructure as Code and Kubernetes patterns using technologies such as Terraform and Terragrunt • Collaborate with DevOps teams on infrastructure-related initiatives • Help modernize and expand data access, metadata services, and platform capabilities Minimum Qualifications • Active Secret clearance or higher, with the willingness and ability to upgrade to a TS/SCI clearance with a polygraph • Bachelor's degree in computer science, computer engineering, electrical engineering, or equivalent professional experience • Eight or more years of experience developing applications using Java and the Spring Framework • Experience developing solutions in AWS cloud environments • Experience with Infrastructure as Code tools such as Terraform or AWS CloudFormation • Experience with event-driven architectures and technologies such as Amazon SNS/SQS, EventBridge, Kinesis, or JMS • Primary residence within a two-hour commuting distance of our Herndon office • Ability to work effectively as both a collaborative team member and a self-starter in a dynamic environment Desired Qualifications • Active TS/SCI clearance with a polygraph • Experience designing, developing, and supporting modern data platforms, data lakes, and data pipelines using technologies such as Databricks, Apache Spark, Snowflake, or comparable tools • Experience optimizing platform performance and storage for client access patterns, supporting distributed data architectures, and implementing data lifecycle capabilities, including CRUD operations and record versioning • Experience with testing frameworks and tools such as JUnit, AssertJ, Mockito, or Spring Runner • Experience with scripting languages such as Python or Bash • Experience working in Linux environments • Experience using Git for source control • Deep, hands-on experience with AWS services such as Amazon S3, DynamoDB, EKS, DocumentDB, Lambda, Timestream, CloudWatch, EC2, or ECS • Experience developing and deploying containerized applications • Experience with Kubernetes • Experience with React or Next.js • Ability to identify and interpret external data specifications and common data representations • Experience building monitoring and alerting capabilities for data pipelines using tools such as Prometheus, Grafana, or Splunk • Experience contributing to open-source projects or communities The base salary pay range for this role is $146,000 - $255,500. This range reflects base compensation only and does not include benefits, bonuses, or additional pay incentives associated with the opportunity. BTI360 benefits for full-time teammates • Fully paid healthcare premiums • Competitive salaries and performance bonuses • Career development and in-house training • Tuition Reimbursement • Up to 5 weeks PTO plus 2 weeks of federal holidays • 401K dollar for dollar matching up to 6% annually - vested immediately on day 1 • Giving Back: Serving communities locally and across the globe • Social Events (happy hours, golf tournament, BTI360 Family Festival and more)