Application Developer - Metadata Store Focus
BigBear.ai2 years ago
Washington, DC, USASenior
Responsibilities
- Design, implement, and maintain services and tools integrating enterprise metadata repositories and data catalogs for ingestion, modeling, search, and lineage.
- Build and operate metadata ingestion pipelines, APIs, and event-driven integrations that improve data discovery, lineage, and governance.
- Create internal developer tooling for schema and metadata management, search, and lineage visualization.
- Define metadata models and integration patterns with data engineering, product, and platform teams.
- Troubleshoot and optimize metadata workflows while monitoring data quality and consistency.
- Contribute to architecture decisions, code reviews, sprint planning, and continuous delivery improvement.
- Apply security, performance, and scalability best practices to production systems.
Requirements
- TS/SCI clearance with a current CI polygraph is required, including support for SCIF environments.
- Bachelor’s degree plus 6+ years of application/software development experience, or 8+ years of experience in lieu of a degree.
- Strong development experience in Python, Java, or C# and recent hands-on experience within the last 2 years preferred.
- Practical experience with metadata stores or governance platforms such as Apache Atlas, DataHub, Collibra, Microsoft Purview, or similar systems.
- Understanding of metadata concepts including lineage, schema, glossary, classification, and governance workflows.
- Hands-on experience building APIs or event-driven services and familiarity with Azure, AWS, or GCP.
- Experience with source control and modern DevOps practices, plus proficiency with Node.js, TypeScript, and Docker.
- Experience with Elasticsearch/OpenSearch, MongoDB, PostgreSQL, and Redis.
- Preferred experience includes data engineering, ETL/ELT, data modeling pipelines, graph databases, enterprise governance tooling, policy-driven workflows, and secure or classified systems.
- Familiarity with Neo4j, NestJS, Express, Jest, GitLab CI, Spring Boot, Scala, or Groovy is preferred.
- Interest or experience with applied AI/LLMs for metadata enrichment is preferred.
Benefits
- Hybrid work arrangement in the Washington, D.C. area is required.
- Work supports national-security-focused solutions and includes SCIF support.
- Equal opportunity employment is provided, including for protected veterans and individuals with disabilities.
Tech Stack
Apache KafkaAWSAzureC#DockerElasticsearchExpressGitGitLab CI/CDGoogle Cloud PlatformGroovyJavaJestMongoDBNeo4jNestJSNode.jsPostgreSQLPythonRedisScalaSpring BootTypeScript
Categories
BackendData Engineering
About BigBear.ai
BigBear.ai develops AI-powered decision intelligence software, computer vision, and modeling/simulation tools for U.S. defense, intelligence, federal civilian, and critical-infrastructure markets. It sells software platforms and contract services, often deployed in secure government clouds, to support mission planning, logistics, and cybersecurity. Founded in 1988 and headquartered in McLean, Virginia, BigBear.ai is a public company listed on the NYSE under the ticker BBAI.