Defense Unicorns
Senior FDE Data Engineer
Vaga remota de Federal Delivery com fit claro de localização do candidato.
Publicada21 de jun. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior FDE Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Responsibilities:
- Deploy and harden UDS Data Capability in the mission hero's environment — stand up the UDS Store (Iceberg, Rook/Ceph, pgvector, Postgres), wire up UDS Transit for air-gap data movement, configure UDS Govern policies (Pepr/Lula), and integrate UDS Connect (Strimzi/Kafka) where streaming or legacy connectors are required.
- Own the integration with what they already have — connect UDS Data Capability to whatever's already running: Big Bang, legacy Oracle and SQL Server, flat-file drops, SOAP/REST endpoints, message buses, existing object storage, identity providers (Keycloak, mission-side SSO).
- Build pipelines that move data through classification boundaries — ingestion, transformation, catalog registration, model/dataset packaging via Zarf, cross-domain transit, eventual consistency across DDIL conditions.
- Operate what you deploy — initial day-2 ownership: capacity, performance, backup/restore (Velero), observability (Vector/Loki), incident response, upgrade paths. Hand off to the mission hero's ops team once it's stable.
- Generate accreditation artifacts — STIG evidence, cATO documentation, FIPS validation notes, policy mappings. You produce the evidence the mission hero's ISSM/ISSO needs to actually run this in IL4/IL5.
- Be the voice of the mission hero back to product and engineering — file the issues, write the postmortems, propose the operator improvements, push the platform team on what's actually breaking in the field. Your field experience is the highest-signal input we have.
- Train and transfer — leave the mission hero's team self-sufficient: runbooks, architecture docs, working sessions, knowledge transfer.
- Grow junior Data Engineer FDEs — pair on hard problems, review integration designs before they reach the customer, and help junior engineers build judgment faster than they would alone. You're not managing anyone; you're making the team better.
The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. Preferred Experience and Qualifications:
- Data engineering breadthLakehouse & storage — production experience with Apache Iceberg (or Delta/Hudi), object storage (Ceph/S3-compatible), Postgres (including extensions like pgvector), and at least one columnar/OLAP engine (Trino, DuckDB, ClickHouse, Spark SQL).Streaming & integration — Kafka (preferably Strimzi on Kubernetes), Flink or equivalent stream processing, CDC patterns (Debezium), and the ability to bridge legacy systems (Oracle, SQL Server, flat files, SOAP) into modern pipelines.Pipelines & orchestration — Airflow, Dagster, Argo Workflows, or similar; comfort building, scheduling, monitoring, and recovering production data pipelines.Governance, catalog & access — REST catalogs (Iceberg REST, Polaris/Gravitino/Nessie family), ABAC/RBAC patterns, OIDC/OAuth, lineage and audit.Data modeling & SQL — fluent in SQL; comfortable designing schemas for both analytical and operational workloads.You do not need to be the deepest expert in any single one of these. You do need to be credible across all of them and know which one to reach for.Platform & infrastructureKubernetes in production — deployments, operators, CRDs, storage classes, networking. You don't have to write controllers from scratch, but you can read and debug them.Linux fundamentals, container runtime behavior, networking, TLS, secrets management.IaC (Terraform, Pulumi, or similar) and GitOps patterns (Flux, ArgoCD).Familiarity with the CNCF ecosystem — what's a foundation project, what's a single-vendor project, why it matters.What "forward-deployed" requiresActive DoD security clearance required — TS/SCI preferred; minimum active Secret with the ability to obtain TS/SCI.Comfort being the technical face of Defense Unicorns to a mission hero — listening before prescribing, writing clearly, briefing technical and non-technical stakeholders, and saying "I don't know yet, let me find out" without losing the room.Comfort with on-site work when the engagement calls for it — in SCIFs and other restricted spaces, sometimes for days or weeks — and equal comfort doing the rest of the work remotely without losing the relationship.Bias toward delivery. You'd rather ship a working integration with rough edges than a perfect design that hasn't met a real workload.Self-direction. The mission hero's environment will surprise you, and the answer often isn't in the documentation yet — you'll write it.The maturity to mentor without hovering. Junior engineers grow by doing
- Lakehouse & storage — production experience with Apache Iceberg (or Delta/Hudi), object storage (Ceph/S3-compatible), Postgres (including extensions like pgvector), and at least one columnar/OLAP engine (Trino, DuckDB, ClickHouse, Spark SQL).
- Streaming & integration — Kafka (preferably Strimzi on Kubernetes), Flink or equivalent stream processing, CDC patterns (Debezium), and the ability to bridge legacy systems (Oracle, SQL Server, flat files, SOAP) into modern pipelines.
- Pipelines & orchestration — Airflow, Dagster, Argo Workflows, or similar; comfort building, scheduling, monitoring, and recovering production data pipelines.
- Governance, catalog & access — REST catalogs (Iceberg REST, Polaris/Gravitino/Nessie family), ABAC/RBAC patterns, OIDC/OAuth, lineage and audit.
- Data modeling & SQL — fluent in SQL; comfortable designing schemas for both analytical and operational workloads.
- Kubernetes in production — deployments, operators, CRDs, storage classes, networking. You don't have to write controllers from scratch, but you can read and debug them.
- Linux fundamentals, container runtime behavior, networking, TLS, secrets management.
- IaC (Terraform, Pulumi, or similar) and GitOps patterns (Flux, ArgoCD).
- Familiarity with the CNCF ecosystem — what's a foundation project, what's a single-vendor project, why it matters.
- Active DoD security clearance required — TS/SCI preferred; minimum active Secret with the ability to obtain TS/SCI.
- Comfort being the technical face of Defense Unicorns to a mission hero — listening before prescribing, writing clearly, briefing technical and non-technical stakeholders, and saying "I don't know yet, let me find out" without losing the room.
- Comfort with on-site work when the engagement calls for it — in SCIFs and other restricted spaces, sometimes for days or weeks — and equal comfort doing the rest of the work remotely without losing the relationship.
- Bias toward delivery. You'd rather ship a working integration with rough edges than a perfect design that hasn't met a real workload.
- Self-direction. The mission hero's environment will surprise you, and the answer often isn't in the documentation yet — you'll write it.
- The maturity to mentor without hovering. Junior engineers grow by doing
Data engineering breadth
- Lakehouse & storage — production experience with Apache Iceberg (or Delta/Hudi), object storage (Ceph/S3-compatible), Postgres (including extensions like pgvector), and at least one columnar/OLAP engine (Trino, DuckDB, ClickHouse, Spark SQL).
- Streaming & integration — Kafka (preferably Strimzi on Kubernetes), Flink or equivalent stream processing, CDC patterns (Debezium), and the ability to bridge legacy systems (Oracle, SQL Server, flat files, SOAP) into modern pipelines.
- Pipelines & orchestration — Airflow, Dagster, Argo Workflows, or similar; comfort building, scheduling, monitoring, and recovering production data pipelines.
- Governance, catalog & access — REST catalogs (Iceberg REST, Polaris/Gravitino/Nessie family), ABAC/RBAC patterns, OIDC/OAuth, lineage and audit.
- Data modeling & SQL — fluent in SQL; comfortable designing schemas for both analytical and operational workloads.
Platform & infrastructure
- Kubernetes in production — deployments, operators, CRDs, storage classes, networking. You don't have to write controllers from scratch, but you can read and debug them.
- Linux fundamentals, container runtime behavior, networking, TLS, secrets management.
- IaC (Terraform, Pulumi, or similar) and GitOps patterns (Flux, ArgoCD).
- Familiarity with the CNCF ecosystem — what's a foundation project, what's a single-vendor project, why it matters.
What "forward-deployed" requires
- Active DoD security clearance required — TS/SCI preferred; minimum active Secret with the ability to obtain TS/SCI.
- Comfort being the technical face of Defense Unicorns to a mission hero — listening before prescribing, writing clearly, briefing technical and non-technical stakeholders, and saying "I don't know yet, let me find out" without losing the room.
- Comfort with on-site work when the engagement calls for it — in SCIFs and other restricted spaces, sometimes for days or weeks — and equal comfort doing the rest of the work remotely without losing the relationship.
- Bias toward delivery. You'd rather ship a working integration with rough edges than a perfect design that hasn't met a real workload.
- Self-direction. The mission hero's environment will surprise you, and the answer often isn't in the documentation yet — you'll write it.
- The maturity to mentor without hovering. Junior engineers grow by doing
What We Work On
- Kubernetes
- Cloud Environments (AWS/GCP and Azure)
- Infrastructure-as-code (like Terraform/Pulumi)
- Continuous Delivery and automation tooling
- GitOps
- Containers
- CNCF projects and open source products and packages
- Helm/Kustomize-Value Stream Mapping
- Building and improving security delivery
- Building Kubernetes and cloud native applications
Health:
- Medical/Dental/Vision
- Premiums are 100% Company Paid
- Health Savings Account
- Life Insurance
- Disability Insurance
Financial:
- 401k Retirement Plan
- Company Stock Options
- Home Office Budget
Leave:
- We offer all full-time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s
- Paid Parental Leave
Learning:
- Reimbursement for approved trainings/subscriptions
- Conferences (travel, lodging, and fees)
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