Senior Analytics Engineer II
$1,500 - $2,025 per monthWrapbook
What You'll Do Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Build the governed data layer, including semantic models, canonical views, metric definitions, and data contracts. Maintain versioning and backward compatibility so downstream BI and AI consumers remain stable.
Structure models, definitions, and documentation so data is usable by people and by AI agents . Build internal tools that help teams ask data questions and trust the answers they receive.
Identify business questions, translate them into structured analytical problems, and develop data solutions that answer them.
Mentor the Analytics team by setting standards for testing, dbt CI/CD , monitoring, alerting, automation, runbooks, onboarding, and code review.
Partner with Engineering to understand source schemas, events, and system architecture. Provide input early so data entering the warehouse is reliable, stable, and easy to model.
What You'll Have
4+ years in data or analytics engineering. You've built and operated production pipelines end to end and owned issues when they broke.
Strong SQL and solid Python . Hands-on experience with ETL and orchestration tools ( Airbyte , Fivetran , Dagster , dbt , Airflow , or similar), including multi-step workflows.
Experience with modern data warehouses ( Snowflake , Databricks , or Redshift ), including query and performance optimization.
Strong data modeling skills. You understand the business meaning behind the metrics, not just how the data moves.
A bias for action. You ship useful, iterative data models that deliver value without waiting for a perfect solution.
Experience building governed data layers (semantic models, canonical views, metric definitions, or data contracts).
Experience writing data quality checks to validate data integrity ( dbt tests , Great Expectations , Pydeequ , or similar).
Experience with BI tools ( Omni , Mode , Looker , Tableau , or similar). You've delivered reports and dashboards.
Experience setting standards for dbt CI/CD , monitoring, alerting, runbooks, and code review, and mentoring others on those practices.
A track record of evaluating and adopting new data and analytical tools when they solve a real problem or improve the stack.
Why Join Us
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Build the governed data layer, including semantic models, canonical views, metric definitions, and data contracts. Maintain versioning and backward compatibility so downstream BI and AI consumers remain stable.
Structure models, definitions, and documentation so data is usable by people and by AI agents . Build internal tools that help teams ask data questions and trust the answers they receive.
Identify business questions, translate them into structured analytical problems, and develop data solutions that answer them.
Mentor the Analytics team by setting standards for testing, dbt CI/CD , monitoring, alerting, automation, runbooks, onboarding, and code review.
Partner with Engineering to understand source schemas, events, and system architecture. Provide input early so data entering the warehouse is reliable, stable, and easy to model.
4+ years in data or analytics engineering. You've built and operated production pipelines end to end and owned issues when they broke.
Strong SQL and solid Python . Hands-on experience with ETL and orchestration tools ( Airbyte , Fivetran , Dagster , dbt , Airflow , or similar), including multi-step workflows.
Experience with modern data warehouses ( Snowflake , Databricks , or Redshift ), including query and performance optimization.
Strong data modeling skills. You understand the business meaning behind the metrics, not just how the data moves.
A bias for action. You ship useful, iterative data models that deliver value without waiting for a perfect solution.
Experience building governed data layers (semantic models, canonical views, metric definitions, or data contracts).
Experience writing data quality checks to validate data integrity ( dbt tests , Great Expectations , Pydeequ , or similar).
Experience with BI tools ( Omni , Mode , Looker , Tableau , or similar). You've delivered reports and dashboards.
Experience setting standards for dbt CI/CD , monitoring, alerting, runbooks, and code review, and mentoring others on those practices.
A track record of evaluating and adopting new data and analytical tools when they solve a real problem or improve the stack.
At Wrapbook, creativity meets technology — and not just in the product.
In addition to a competitive salary and all the benefits you can expect from a fast-growing technology company, you’ll get access to a team of creative problem solvers and the chance to see your contributions make large impacts. Benefits include:
Unlimited Paid Time Off
Work from anywhere in Canada and USA
Health and Dental benefits
Up to $1,500 USD/ $2,025 CAD towards IT set up for your home
Up to 2% matching RRSP / 401K
Learning and Development opportunities
Up to $50 USD/ $67.50 CAD towards Internet/Cell phone service
Our Pledge to Fostering an Inclusive and Safe Workplace
Wrapbook pledges to be a harassment- and discrimination-free space for everyone, regardless of age, disability, ethnicity, gender identity or expression, nationality, neurotype, personal appearance, political affiliation, professional background, race, religion, or sexual identity or orientation.
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