Federal Senior Data Engineer

Horizon3

12d•$199,750 - $235,000

About The Position

Horizon3 is seeking a Senior Data Engineer to design, build, and own the data platform supporting business-critical pipelines. The team currently supports account provisioning, product analytics, and pipelines that feed the data warehouse and Tableau reporting. This role will help expand the platform across multiple regions, covering the warehouse, orchestration, and business intelligence, with a special focus on Federal workloads and the product portfolio. The position involves developing and maintaining data pipelines and infrastructure, shaping warehouse strategy, defining data contracts between teams, and designing warehouse schemas and models. The engineer will build observability into platform components, collaborate across producer and consumer teams, and own work through to its outcomes. The role requires the ability to work within U.S. Government enclaves, from FedRAMP through TS cloud environments. Horizon3 is a remote cybersecurity company. It describes a mix of remote and hybrid work models depending on role and location. The company offers competitive compensation, equity, and benefits. The stated base salary range is $199,750–$235,000 annually, with the exact amount depending on location, qualifications, experience, and relevant skills.

Requirements

Strong software engineering craft, including clean, correct, maintainable code and solid data-structure and problem-solving fundamentals.
Deep understanding of distributed systems and data architecture, including pipeline and platform design, batch versus streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.
Fluent SQL and strong data-modeling skills, including the ability to design schemas for a warehouse the team owns.
Experience owning production data infrastructure end to end.
Strong collaboration and ownership across dependent teams.
Experience and ability to work within U.S. Government enclaves from FedRAMP through TS cloud environments.
At least 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, such as AWS Glue, Databricks, Snowflake, or Spark-based pipelines.
Experience with Tableau or a comparable BI platform.
Experience with SQL and Python.
Experience with workflow orchestration tools such as Apache Airflow, Dagster, or similar.
U.S. citizen with the ability to gain and maintain a TS Security clearance.

Responsibilities

Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs that feed the warehouse and Tableau.
Build and operate core data infrastructure, including the data warehouse, orchestration, and BI/reporting platform deployed across multiple regions.
Help evaluate and shape the warehouse strategy, including lakehouse platforms such as Databricks.
Define and evolve batch or event-driven contracts between producer and consumer teams, assessing batch versus streaming, CDC, reprocessing, and multi-tenant and 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.