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FDE Data Engineer- Space

1 week, 4 days ago
United States
Full-time
Senior
Data Engineer
DevOps and Infrastructure
Apache Airflow Argo CD AWS Azure ClickHouse Dagster Flink Flux GCP GitOps Helm Kafka Kubernetes Linux Microservices OAuth OpenID Connect Oracle PostgreSQL Pulumi REST API SOAP SQL SQL Server Terraform TLS Trino
Apply Now
DefenseUnicorns

DefenseUnicorns

DefenseUnicorns specializes in providing continuous software delivery solutions tailored for national security missions, focusing on simplifying and securing the development and deployment of software and AI technologies for government operations.

Internet Software & Services
51-250
Founded 2021
$1M raised
View All Jobs 15

Description

  • Deploy and harden UDS Data Capability in mission environments, including storage, transit, governance, and streaming components.
  • Integrate the platform with existing systems such as legacy databases, flat files, message buses, object storage, and identity providers.
  • Build data pipelines that move data across classification boundaries and handle ingestion, transformation, cataloging, packaging, and cross-domain transit.
  • Operate deployed systems through day-2 ownership activities such as capacity management, performance tuning, backup and restore, observability, incident response, and upgrade planning.
  • Generate accreditation and compliance artifacts such as STIG evidence, cATO documentation, FIPS validation notes, and policy mappings.
  • Bring field feedback back to product and engineering by filing issues, writing postmortems, and proposing operator improvements.
  • Train mission teams and transfer knowledge through runbooks, documentation, and working sessions.
  • Pair with and mentor junior Data Engineer FDEs on difficult problems and integration design reviews.
  • Travel to customer sites as needed for initial standup, SCIF integration, incident response, training, and knowledge transfer.

Requirements

  • U.S. citizenship is required.
  • Active DoD security clearance is required, with TS/SCI preferred or at minimum active Secret and the ability to obtain TS/SCI.
  • Experience across lakehouse and storage technologies such as Apache Iceberg, Delta, Hudi, Ceph/S3-compatible object storage, Postgres, and pgvector.
  • Experience with streaming and integration tools such as Kafka, Strimzi, Flink, Debezium, and legacy system integration from Oracle, SQL Server, flat files, or SOAP.
  • Experience with data pipeline orchestration tools such as Airflow, Dagster, or Argo Workflows.
  • Experience with governance, catalog, and access patterns including Iceberg REST catalogs, ABAC/RBAC, OIDC/OAuth, lineage, and audit.
  • Strong SQL and data modeling skills for analytical and operational workloads.
  • Production experience with Kubernetes, Linux fundamentals, containers, networking, TLS, secrets management, IaC, and GitOps tools such as Terraform, Pulumi, Flux, or ArgoCD.
  • Comfort working in SCIFs and other restricted environments and traveling 10%-25% of the time.
  • Ability to communicate clearly with technical and non-technical stakeholders, work self-directed, and mentor junior engineers.
  • Familiarity with the CNCF ecosystem and cloud environments such as AWS, GCP, or Azure is preferred.

Benefits

  • Remote work with 10%-25% travel instead of constant onsite presence.
  • Competitive salary of $123,250 to $166,750 USD, based on experience.
  • Medical, dental, and vision insurance with premiums 100% company paid.
  • Health Savings Account, life insurance, and disability insurance.
  • 401(k) retirement plan and company stock options.
  • Home office budget.
  • Flexible Time Off plus all Federal holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s.
  • Paid parental leave, training reimbursement, and conference support including travel, lodging, and fees.

Interested in this position?

Apply directly on the company website

Apply Now

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