Senior Analytics Engineer II
New
W
WrapbookProduction Finance
Remote - US & CanadaFull-TimeSenior
SalaryCA$148K - CA$203K
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Job Details
- Experience
- 4+ years in data or analytics engineering.
- Required Skills
- PythonSQLETLSnowflakeData modelingdbtRedshiftDatabricks
Requirements
- 4+ years in data or analytics engineering.
- Strong SQL and solid Python.
- Hands-on experience with ETL and orchestration tools (Airbyte, Fivetran, Dagster, dbt, Airflow, or similar).
- Experience with modern data warehouses (Snowflake, Databricks, or Redshift).
- Strong data modeling skills.
- 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).
- Experience setting standards for dbt CI/CD, monitoring, alerting, runbooks, and code review.
- Track record of evaluating and adopting new data and analytical tools.
Responsibilities
- 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.
- Structure models, definitions, and documentation so data is usable by people and by AI agents.
- 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.
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