Senior Analytics Engineer II

This is a fully remote position, open to applicants in Canada, +1 more country.

📋 Description

• Spearhead the development of analytics products and self-service tools that grant teams reliable and independent access to data.

• Assume full ownership of analytics products from start to finish, encompassing success metrics, schema design, testing, production deployment, data quality, freshness SLAs, and incident resolution.

• Construct and sustain ETL/ELT pipelines and canonical datasets for organization-wide analytical processes.

• Develop and uphold the governed data layer, which includes semantic models, canonical views, metric definitions, and data contracts.

• Ensure versioning and backward compatibility for BI and AI users.

• Organize models, definitions, and documentation to make data accessible to both individuals and AI agents.

• Create internal tools that empower teams to inquire about data and have confidence in the responses.

• Convert business inquiries into structured analytical challenges and data solutions.

• Guide the Analytics team and establish standards for testing, dbt CI/CD, monitoring, alerting, automation, runbooks, onboarding, and code review.

• Collaborate with Engineering on source schemas, events, system architecture, and reliable warehouse data.

⛳️ Requirements

• Over 4 years of experience in data or analytics engineering.

• Proven experience in building and managing production pipelines from start to finish, taking responsibility for issues when they arise.

• Proficient in SQL and experienced with Python.

• Practical experience with ETL and orchestration tools like Airbyte, Fivetran, Dagster, dbt, or Airflow, including multi-step workflows.

• Familiarity with modern data warehouses such as Snowflake, Databricks, or Redshift.

• Expertise in query and performance optimization.

• Strong data modeling abilities and comprehension of the business significance behind metrics.

• Experience in developing governed data layers, which include semantic models, canonical views, metric definitions, or data contracts.

• Background in writing data quality checks using dbt tests, Great Expectations, Pydeequ, or similar frameworks.

• Proficient in BI tools such as Omni, Mode, Looker, or Tableau.

• Experience in establishing standards for dbt CI/CD, monitoring, alerting, runbooks, and code reviews.

• Experience in mentoring others on data engineering best practices.

• A history of assessing and adopting new data and analytical technologies.

🏝️ Benefits

• Unlimited Paid Time Off.

• Flexibility to work from anywhere within Canada and the USA.

• Comprehensive Health and Dental benefits.

• Up to $1,500 USD / $2,025 CAD for IT setup for your home.

• Up to 2% matching RRSP / 401K.

• Opportunities for Learning and Development.

• Up to $50 USD / $67.50 CAD for Internet/Cell phone expenses.

• Competitive salary.

• An inclusive workplace free from harassment and discrimination.