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Senior FDE Data Engineer

2 months 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 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 13

Description

  • Deploy and harden the UDS Data Capability stack in mission hero environments, including storage, transit, governance, and streaming components.
  • Integrate the platform with existing systems such as Big Bang, legacy databases, flat files, APIs, message buses, object storage, and identity providers.
  • Build data pipelines that move information across classification boundaries and support ingestion, transformation, cataloging, packaging, and cross-domain transit.
  • Own day-2 operations for deployed systems, including capacity, performance, backup and restore, observability, incident response, and upgrade paths.
  • Generate accreditation and compliance artifacts such as STIG evidence, cATO documentation, FIPS validation notes, and policy mappings.
  • Serve as the technical voice of the mission hero back to product and engineering by filing issues, writing postmortems, and proposing platform improvements.
  • Train customer teams through runbooks, documentation, working sessions, and knowledge transfer so they can operate the platform independently.
  • Pair with and mentor junior Data Engineer FDEs on difficult problems and integration design reviews.

Requirements

  • U.S. citizenship is required.
  • Active DoD security clearance required; TS/SCI preferred, with at least an active Secret clearance and the ability to obtain TS/SCI.
  • Production experience with Apache Iceberg or similar lakehouse technologies such as Delta or Hudi.
  • Experience with object storage, Postgres and extensions such as pgvector, and at least one OLAP or columnar engine such as Trino, DuckDB, ClickHouse, or Spark SQL.
  • Experience with Kafka, preferably Strimzi on Kubernetes, plus stream processing and CDC patterns such as Flink or Debezium.
  • Experience bridging legacy systems such as Oracle, SQL Server, flat files, and SOAP into modern data pipelines.
  • Familiarity with orchestration tools such as Airflow, Dagster, or Argo Workflows.
  • Strong SQL skills and the ability to design schemas for analytical and operational workloads.
  • Hands-on Kubernetes production experience, including deployments, operators, CRDs, storage classes, and networking.
  • Working knowledge of Linux, containers, networking, TLS, secrets management, IaC tools such as Terraform or Pulumi, and GitOps tools such as Flux or ArgoCD.
  • Comfort working in SCIFs and other restricted environments, with 10%–25% travel.
  • Preferred familiarity with CNCF ecosystem projects and the distinctions between foundation and single-vendor projects.

Benefits

  • $148,750 to $201,250 USD base salary, depending on experience.
  • Medical, dental, and vision insurance with 100% company-paid premiums.
  • 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.
  • Reimbursement for approved trainings and subscriptions, plus conference travel, lodging, and fees.

Interested in this position?

Apply directly on the company website

Apply Now

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