Senior Data Infrastructure 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 assess...

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, c...

We are seeking a Senior Data Infrastructure 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 deploy...

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 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.
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities, and activities may change at any time with or without notice. 

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.
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.
AWS data stack, including Glue and Spark.
Cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks.
Tableau or a comparable BI platform.
SQL and Python.
Workflow orchestration tooling such as Apache Airflow or Dagster