Federal Senior Data Engineer

Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find and fix and verify exploitable attack vectors before criminals exploit them. Our flagship product, the NodeZeroTM platform, delivers production-safe autonomous pentests and other key assessment operations that scale across the largest internal, external, cloud, and hybrid cloud environments. Node Zero has been adopted by organizations of all sizes, from small educational institutions to government agencies and Global 100 enterprises.

It is used by ITOps/Sec Ops teams, consulting pentesters, and MSSPs and MSPs.

We are a fusion of former U.S. Special Operations cyber operators, startup engineers, and formerly frustrated cybersecurity practitioners. We're committed to helping solve our common security problems: ineffective security tools, false positives resulting in alert fatigue, blind spots, "checkbox” security culture, cybersecurity skills shortage, and the long lead time and expense of hiring outside consultants. Collectively, we are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.

We are seeking a Senior Data Engineer to design, build, and own the data platform underneath our business-critical pipelines. Today the team supports account provisioning, product analytics, and the pipelines feeding our warehouse and Tableau reporting. You will help expand this into a globally deployed data platform spanning the warehouse, orchestration, and BI across multiple regions with a special focus on Federal workloads and product portfolio.

You will:

• Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs feeding the warehouse and Tableau.
• Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform, deployed across multiple regions.
• Help evaluate and shape our warehouse strategy, including lakehouse platforms such as Databricks.
• Define and evolve batch or event-driven contracts between producer and consumer teams, reasoning through batch vs. streaming, CDC, reprocessing, and multi-tenant/multi-region trade-offs.
• Design and evolve warehouse schemas and data models.
• Build observability into pipelines and platform components.
• Drive work across producer and consumer teams, communicate clearly, and own outcomes end to end.

• Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.
• Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.
• Fluent SQL and strong data-modeling skills, including designing schemas for a warehouse your team owns.
• Experience owning production data infrastructure end to end.
• Strong collaboration and ownership across dependent teams.
• Experience and ability to work within US Government enclaves from FedRAMP through TS cloud environments.
• 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

• Experience with cloud-based data platforms and distributed data processing (e.g., AWS Glue, Databricks, Snowflake, or Spark-based pipelines)
• Tableau or a comparable BI platform.
• SQL and Python.
• Workflow orchestration tooling such as Apache Airflow, Dagster or similar
• US Citizen with/ability to gain and maintain a TS Security clearance

• Inclusive Team:
  We value diversity…