AI-Driven Analytics Engineer for Enterprise SaaS

Ontic; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, Vision & Dental Benefits

401k

Stock Options

Home Office Stipend

Learning Stipend

Flexible PTO Policy

Parental Leave policy

Home Internet Reimbursement

Mobile Phone Reimbursement

Job summary

Ontic is hiring an R&D Analytics Engineer to build and scale the data and AI foundation of our enterprise SaaS platform. You will design core data models and reusable assets for Product, Engineering and Design while shaping analytics in the AI era.

This is a foundational, high-ownership role with long-term growth potential. You will architect scalable analytics systems, integrate AI-enabled workflows, and partner with Sales, CS, Finance, and Product to deliver measurable SaaS metrics and

Qualifications

• Experience in analytics engineering, data engineering, or similar hands-on roles.
• Strong SQL skills and deep understanding of modern data modeling (dimensional modeling, transformations, data contracts).
• Experience building in cloud data warehouses (Snowflake, BigQuery, Redshift).
• Comfort working in a fast-moving AI tooling landscape.
• Systems-level thinker focused on scalability and extensibility.

Responsibilities

• Design and maintain scalable dbt data models in Snowflake as trusted sources of truth.
• Architect data pipelines and ELT workflows using Fivetran and modern tools.
• Develop durable data assets that scale with the company.
• Define modeling standards, governance, and documentation.

Skills

SQL proficiency

Data modeling

Cloud data warehouses

ETL/ELT design

Architectural thinking

Communication

Tools

dbt

Snowflake

Fivetran

Hightouch

Notion/Cursor/Glean

Job description

Ontic is hiring an R&D Analytics Engineer to build and scale the data and AI foundation of our enterprise SaaS platform. You will design core data models and reusable assets for Product, Engineering and Design while shaping analytics in the AI era.

This is a foundational, high-ownership role with long-term growth potential. You will architect scalable analytics systems, integrate AI-enabled workflows, and partner with Sales, CS, Finance, and Product to deliver measurable SaaS metrics and