Senior Analytics Engineer (AI)

Location: Remote from Canada

Company

hirify.global is a Series C SaaS company building an AI growth platform for real estate professionals.

What you will do

• Own and evolve dbt models, Snowflake warehouse structures, ingestion processes, and core analytical datasets.
• Build Python and Airflow pipelines integrating third-party APIs and operational data into Snowflake.
• Implement data testing, observability, CI/CD, metric governance, and end-to-end incident remediation.
• Design reconciliation models that identify discrepancies across systems and protect revenue.
• Partner with Product, Marketing, RevOps, Finance, People Ops, and Engineering to enable trusted self-service analytics.
• Build Snowflake Cortex semantic views and measurement frameworks for AI-powered initiatives.

Requirements

• 5+ years of experience as an analytics engineer, data engineer, or in a similar role within a SaaS environment.
• Deep expertise in SQL, dbt, modern data modeling, and Python for pipelines, API integrations, and automation.
• Experience with Salesforce data, product usage and event data, marketing attribution, and custom ELT pipelines.
• Experience designing cross-system reconciliation models and governed semantic layers such as dbt Semantic Layer or Snowflake Cortex.
• Experience with Snowflake, BigQuery, or Redshift, plus Git-based workflows, CI/CD, automated testing, and large-scale data systems.
• Ability to collaborate cross-functionally, own ambiguous problems, and design end-to-end analytical solutions.

Nice to have

• Experience maintaining Airflow DAGs and multi-source API ingestion pipelines.
• Knowledge of statistics, A/B testing, significance testing, and incremental impact measurement.
• Familiarity with predictive modeling, SaaS financial metrics, billing operations, and people analytics.

Culture & Benefits

• Remote work arrangement for candidates based in Canada.
• Cross-functional collaboration across Product, Engineering, GTM, Finance, and Operations.
• Opportunity to shape AI-powered analytics infrastructure and semantic interfaces for internal AI agents.
• Equal opportunity employment practices.