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Defense Unicorns

Secure DevSecOps platform for defense

FDE Data Engineer-Space

Data EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA

About the Job

Requirements

  • Experience storing and querying large unstructured datasets using data lake architectures.
  • Experience with stream-processing infrastructure such as Kafka, Redpanda, Flink, or equivalent, and bridging heterogeneous data sources into modern pipelines.
  • Experience with open-source data warehousing platforms and the ability to build without proprietary platforms.
  • Experience with Airflow, Dagster, Argo Workflows, or similar pipeline orchestration tools, including building, scheduling, monitoring, and recovering production data pipelines.
  • Fluency in SQL and the ability to design schemas for analytical and operational workloads.
  • Comfort building on open-source tooling and contributing back to it.
  • U.S. citizenship and the ability to obtain and maintain a DoD security clearance.
  • Comfort working directly with mission users and government stakeholders, and communicating with technical and non-technical audiences.
  • Comfort with periodic on-site work, sometimes for days at a stretch, as well as remote work.
  • Ability to work independently in undocumented environments and solve problems without extensive direction.

Responsibilities

  • Deploy and configure UDS Data Capability in mission environments, including UDS Store components, air-gap data movement through UDS Transit, UDS Govern policies, and UDS Connect integrations where streaming or legacy connectors are required.
  • Build and support integrations with mission systems, including legacy databases, flat-file drops, SOAP and REST endpoints, message buses, existing object storage, and identity providers such as Keycloak and mission-side single sign-on.
  • Help map complex data landscapes by tracing data flows across interconnected systems of record and identifying dependencies with senior engineers and government stakeholders.
  • Build pipelines across classification boundaries, including ingestion, transformation, catalog registration, model or dataset packaging via Zarf, cross-domain transit, and eventual consistency under disconnected, disrupted, intermittent, and limited-bandwidth conditions.
  • Implement data provenance, lineage, and governance practices to track data origins, transformations, and access.
  • Operate deployed systems, including capacity, performance, backup and restore using Velero, observability using Vector and Loki, incident response, and upgrade paths; hand off to mission operations teams once stable.
  • Generate accreditation artifacts, including Security Technical Implementation Guide evidence, continuous Authority to Operate documentation, Federal Information Processing Standards validation notes, and policy mappings needed for Impact Level 4 or 5 operations.
  • Provide field feedback to product and engineering by filing issues, writing postmortems, and reporting what works and what breaks in mission environments.
  • Support training and knowledge transfer by contributing to runbooks, architecture documentation, and working sessions that help mission teams become self-sufficient.
  • Adapt to evolving organizational needs and take on additional responsibilities as assigned.

Desired Qualifications

  • Experience with Spark.
  • Experience with data lineage tracking, data catalogs, provenance systems, or governance frameworks.
  • DoD or defense program experience.
  • Active Secret clearance or higher.
  • Experience with Apache Iceberg, Delta Lake, Hudi, Ceph or S3-compatible object storage, Postgres and extensions such as pgvector, Trino, DuckDB, ClickHouse, or Spark SQL.
  • Experience with Debezium or similar change data capture patterns.
  • Experience with REST catalogs such as Iceberg REST, Polaris, Gravitino, or Nessie, and with ABAC/RBAC patterns, OIDC/OAuth, lineage, and audit.
  • General familiarity with Kubernetes deployments, operators, and application operation on Kubernetes.
  • Knowledge of Linux fundamentals, container runtime behavior, networking, TLS, and secrets management.
  • Experience with infrastructure as code such as Terraform or Pulumi, and GitOps patterns such as Flux or ArgoCD.
  • Familiarity with the CNCF ecosystem, including the distinction between foundation projects and single-vendor projects.
  • General understanding of how data infrastructure supports model training, versioning, provenance, and AI operations.
  • Familiarity with Air Force or Space Force systems of record such as MILPDS and ARMS, and how data flows between them.

About the Company

Defense Unicorns

Secure DevSecOps platform for defense

Defense Unicorns provides secure, open-source DevSecOps solutions and related services for defense and federal customers. Its platform is designed to be infrastructure-agnostic, integrating development, security, and operations to deliver software quickly while meeting strict federal security and accreditation standards. The company differentiates itself by focusing on mission-driven government and defense programs, leveraging open-source tooling, and offering training and consulting to help organizations upskill, transform digitally, and navigate DoD SBIR/STTR programs. The goal is to help government agencies and defense contractors deliver secure software at speed, acquire and integrate software solutions efficiently, and achieve compliance in complex procurement environments.

Company size
201-500
Company stage
Series B
Total funding
$172.3M
Headquarters
Colorado Springs, CO
Founded
2021

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