Federal Senior Product Analytics Engineer
Horizon3 AI27 days ago
Remote, United StatesSenior
Base Salary
$143k - $187k/yr
Responsibilities
- Design, build, and maintain scalable ELT pipelines and data models that convert product usage and event telemetry into trusted analytics assets.
- Partner with Product Engineering and Data Engineering on canonical product data, instrumentation, source definitions, pipelines, and data quality.
- Support data governance through taxonomy definition, metric certification, documentation, and AI/machine-readable structures.
- Build and own the semantic layer and self-service Product Analytics data models.
- Monitor product usage data quality and anomaly detection, coordinating with Data Engineering on pipeline or platform issues.
- Build production-grade metrics and models for expansion and upsell cohorts, feature adoption, usage thresholds, and seat utilization.
- Help define analytics standards and tooling practices across the company and drive engineering best practices within Product Analytics assets.
- Present technical data concepts and business implications to engineering teams, non-technical stakeholders, and leadership.
- Ensure new tooling and data flows comply with FedRAMP, DoW IL4/5, and classified-workload requirements.
Requirements
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience spanning data engineering and analytics, ideally in a role bridging both.
- Advanced SQL skills and hands-on experience with dbt and/or government-approved equivalents.
- Hands-on experience building production data pipelines and stakeholder-facing analytics or dashboards.
- Experience translating ambiguous business requirements into governed and well-documented data models.
- Experience partnering with product and engineering teams on instrumentation and source data design is preferred.
- Experience contributing to data governance or metrics-certification processes is preferred.
- Familiarity with Tableau, Looker, or Power BI is preferred.
- Experience with AWS, GCP, or Azure is preferred.
- Experience with Git-based workflows and CI/CD for data pipelines is preferred.
- Regular use of AI in coding and development workflows is preferred.
- Experience operating in federally compliant organizations and systems at FedRAMP, IL4/5, or classified levels is preferred.
Benefits
- Remote and hybrid work models are available depending on role and location, with some Chicago roles requiring regular in-office presence.
- Health, vision, and dental insurance are provided for employees and their families.
- Flexible vacation policy and generous parental leave are offered.
- The role offers equity through stock options in addition to base compensation.
- The company provides career development opportunities in a collaborative and inclusive environment.
Tech Stack
Categories
Data Engineering
About Horizon3 AI
Horizon3 AI builds NodeZero, a proactive security platform that autonomously performs penetration testing and validates attack paths across on‑prem, cloud, and hybrid environments. The company sells its software by subscription to security and IT teams at enterprises and government agencies, helping prioritize and verify fixes. Founded in 2019 and headquartered in San Francisco, it is privately held and serves customers across regulated industries and the public sector.