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Bigbear.ai

Operational AI platform for decision support

Application Developer - Metadata Store Focus

Backend EngineeringConfirmed live in the last 24 hours
Full-timeWashington, DC, USANo salary listed

About the Job

Requirements

  • A bachelor's degree and at least 6 years of application/software development experience, or at least 8 years of experience in lieu of a degree.
  • Strong development experience in at least one of Python, Java, or C#.
  • Practical experience with metadata stores or governance platforms such as Apache Atlas, DataHub, Collibra, Microsoft Purview, or similar/custom metadata systems.
  • Understanding of metadata concepts including lineage, schema, glossary, classification, and governance workflows.
  • Hands-on experience building RESTful APIs and/or event-driven services such as Kafka or Pub/Sub.
  • Familiarity with cloud platforms and patterns such as Azure, AWS, or GCP.
  • Experience with CI/CD, source control using Git, and modern DevOps practices.
  • Proficiency with Node.js, TypeScript, and containerization with Docker.
  • Experience with search/analytics and data stores such as Elasticsearch/OpenSearch, MongoDB, PostgreSQL, and Redis.
  • Must hold TS/SCI clearance with a CI polygraph.
  • Must currently reside in the United States and be located in or able to work from the Washington, D.C. area.

Responsibilities

  • Design, implement, and maintain services and tools that integrate with enterprise metadata repositories and data catalogs for ingestion, modeling, search, and lineage.
  • Build and operate metadata ingestion pipelines, RESTful APIs, and event-driven integrations to improve discovery, lineage, and governance.
  • Create internal developer tooling for schema and metadata management, search, and lineage visualization to accelerate onboarding and data quality.
  • Define metadata models and integration patterns in partnership with data engineering, product, and platform teams.
  • Troubleshoot and optimize metadata workflows, and monitor data quality and consistency across systems.
  • Contribute to architecture decisions, code reviews, sprint planning, and continuous improvement of delivery practices.
  • Apply security, performance, and scalability best practices to ensure production-ready systems.

Desired Qualifications

  • Recent hands-on experience within the last 2 years.
  • Experience with data engineering, ETL/ELT, or data modeling pipelines.
  • Familiarity with graph databases such as Neo4j or advanced lineage/search capabilities.
  • Experience with frameworks and tooling such as NestJS/Express, Jest, GitLab CI, Spring Boot, or Scala/Groovy.
  • Background integrating enterprise governance tooling and implementing policy-driven workflows.
  • Prior work on secure or classified systems.
  • Interest or experience with applied AI/LLMs for metadata enrichment, such as semantic classification or automated tagging.

About the Company

Bigbear.ai

Operational AI platform for decision support

BigBear.ai builds operational AI software that helps organizations improve decision-making, cyber operations, and business agility. Its platform combines AI-driven analytics on an organization’s data with external inputs to give a full, real-time view of the environment, uncover new insights, and produce accurate predictions. The product works by integrating data from internal systems and external sources, applying advanced analytics to surface actionable intelligence, and enabling fast, informed actions in complex settings. What sets BigBear.ai apart is its depth of expertise in operational AI and its ability to optimize existing data with additional inputs, delivering data mining and predictive capabilities that go beyond traditional intelligence tools. Its goal is to help clients succeed in mission-critical environments—such as government intelligence, healthcare, and manufacturing—by improving efficiency, risk management, and operational performance.

Company size
501-1,000
Company stage
IPO
Headquarters
Tysons, VA
Founded
2020

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