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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Java Data Platform Engineer - **Company:** BTI360 INC. - **Location:** Herndon, VA, United States - **Experience:** Expert - **Salary:** $146,000.0 - $255,500.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, Client Access Licensing, Cloud Computing, Computer Engineering, Data Architecture, Data Infrastructure, Data Security, DevOps, Distributed Data Store, Distributed Systems, Amazon DynamoDB, Java Message Service (JMS), Spring Framework, Junit, Python (Programming Language), Linux System Administration, Open Source Technology, Mockito, Prometheus, Next.js, Management of Software Versions, Scripting, ReactJS, Snowflake, Grafana, Apache Spark, Software Application Programming, Backend, Git, Cloudformation, Servicebus, SC Clearance, Event Driven Architecture, Containerization, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Cloudwatch, Amazon Simple Queue Service (SQS), Terraform, Splunk, Software Version Control, Data Pipelines, Databricks, Crud - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/640afd16-ef8e-40c9-9557-641c56185beb ## About the Role * 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 ## Description 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 ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How Unit Testing Saved My Career](https://www.wearedevelopers.com/videos/1642-how-unit-testing-saved-my-career) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From boy scouting to redrawing the landscape](https://www.wearedevelopers.com/videos/1140-from-boy-scouting-to-redrawing-the-landscape) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)