Job Overview
Location
Remote, United States
Job Type
Full-time
Category
Data Engineer
Date Posted
April 3, 2026
Full Job Description
đź“‹ Description
- • As Ontic Technologies' first dedicated Analytics Engineer, you will lay the foundational data and AI infrastructure that powers decision-making across Sales, Customer Success, Marketing, Finance, Product, and Engineering teams, directly enabling the company’s mission to protect people and organizations through smarter, faster security operations.
- • You will design and maintain scalable dbt data models in Snowflake, architect ELT pipelines using Fivetran, and build durable data assets that serve as trusted sources of truth for core SaaS metrics like ARR, retention, expansion, and pipeline, while establishing modeling standards, documentation practices, and governance frameworks.
- • You will build data foundations that power internal AI applications and LLM-enabled workflows, prototype and productionize AI-driven operational use cases, and integrate analytics into everyday tools like Notion, Cursor, and Glean to embed data directly into operational processes — moving beyond dashboards to actionable intelligence.
- • You will partner cross-functionally with leaders across Sales, CS, Marketing, Finance, Product, and Engineering to translate business needs into scalable technical systems, create reusable data assets for activation via Hightouch and analysis via Omni, and ensure the architecture is secure, scalable, and adaptable to evolving enterprise needs.
- • You will help redefine what an analytics function looks like in the age of AI by treating architecture as a strategic asset, embedding data into workflows, and enabling faster, smarter enterprise decision-making that evolves with AI tooling — positioning you to grow into a technical leader shaping Ontic’s long-term data and AI strategy.
🎯 Requirements
- • 3–6+ years of hands-on experience in analytics engineering, data engineering, or a closely related role
- • Strong SQL proficiency and deep understanding of modern data modeling principles including dimensional modeling, transformations, and data contracts
- • Experience building and maintaining data pipelines in cloud data warehouses such as Snowflake, BigQuery, or Redshift
- • Systems-level thinking with a focus on designing for scalability, extensibility, and flexibility in evolving AI and data tooling landscapes
- • Strong communication and collaboration skills to work effectively across both technical and business teams
🏖️ Benefits
- • Competitive salary with stock options and 401(k) retirement plan
- • Comprehensive medical, vision, and dental benefits, plus HSA contributions
- • Learning stipend, home office stipend, mobile phone and internet reimbursement for remote employees
- • Flexible PTO policy, quarterly mental escape (ME) days, and generous parental leave
- • Anniversary and milestone celebrations, plus a culture committed to diversity, inclusion, and accessibility
Skills & Technologies
About Ontic Technologies, Inc.
Ontic Technologies provides protective-intelligence software that aggregates data from public, commercial, and internal sources, then applies AI and analytics to identify, assess, and manage physical security risks to people, assets, and facilities. The cloud platform equips corporate security teams with case management, threat detection, and investigative workflows to prevent workplace violence, insider threats, supply-chain disruptions, and other physical-security incidents. Founded in 2017, the company serves Fortune 500 enterprises, educational institutions, and government agencies with continuous monitoring, compliance reporting, and collaboration tools that integrate with existing security infrastructure and travel-risk programs.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
