Horizon3AI
Federal Senior Product Analytics Engineer
$143K–$187K
US, Remote · Remote · Senior · Full-time · Posted Oct 15, 2026
- Experience
- 7+ years spanning data engineering and analytics.
- Education
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
About the job
Build and govern product analytics data models, pipelines, and self-service metrics, with a focus on the Federal business and compliant platforms.
What you'll do
- Build and maintain ELT pipelines, product data models, semantic-layer assets, and self-service analytics models.
- Partner with engineering, governance, and product teams to define, document, certify, and monitor trusted metrics and product data.
- Ensure tooling and data flows comply with applicable U.S. Federal frameworks, including FedRAMP and DoW IL4/5.
What they ask for
- Bachelor's degree or equivalent in Computer Science, Engineering, Information Systems, or a related field.
- 7+ years of experience spanning data engineering and analytics.
- Advanced SQL and hands-on experience with dbt and/or government approved equivalents.
- Experience building production data pipelines and stakeholder-facing analytics/dashboards, and translating ambiguous business needs into governed, documented data models.
Nice to have
- Experience with product/engineering instrumentation and source data design, data governance or metrics certification, BI tools, cloud platforms, Git/CI/CD, AI development workflows, or federally compliant environments.
Pay
$142,718 - $186,560 annually (USD, base salary)
Tools
SQL, dbt, Tableau, Looker, Power BI, AWS, GCP, Azure
AI focus
Support metric documentation in AI/machine-readable structure; regular use of AI in coding/development workflows is preferred.
Model-written summary · the original posting is authoritative