Remote Senior Analytics Engineer

ZoomInfo Technologies LLC; Toronto; Remote; CAD 110,000 - 160,000; Full time

Job summary

ZoomInfo is seeking an experienced Senior Analytics Engineer to join the Enterprise Data Engineering team. You will design, build, and own core data models and pipelines powering reporting and decision-making across the organization.

You will partner with Engineering, Product, Security, and business stakeholders to translate needs into scalable data solutions, implement data quality checks, and promote best practices in analytics engineering.

Qualifications

• 4+ years of experience in analytics engineering or related field.
• Strong SQL skills and ability to build complex queries and dimensional models.
• Experience with dbt and modern cloud data warehouses.

Responsibilities

• Design, develop, and maintain scalable analytics data models for reporting and product analytics.
• Build and manage trusted data pipelines and transformation workflows.
• Partner with cross-functional teams to translate business needs into data solutions.
• Establish data definitions, metrics, and contracts for consistency.
• Develop reusable datasets and semantic models for self-service analytics.
• Improve reliability, performance, observability, and maintainability of analytics infrastructure.
• Implement data quality checks, testing, and monitoring for critical assets.
• Collaborate to optimize data architecture and warehouse performance.
• Ensure data products are intuitive, discoverable, and fit for purpose.
• Promote best practices for analytics engineering including CI/CD and documentation.

Skills

SQL

Python

Cloud data warehouses

dbt

Data modeling

Data quality testing

Observability

Stakeholder collaboration

Communication

Governance

Tools

Snowflake

Databricks

BigQuery

Redshift

Fivetran

Airflow

dbt

Job description

ZoomInfo is seeking an experienced Senior Analytics Engineer to join the Enterprise Data Engineering team. You will design, build, and own core data models and pipelines powering reporting and decision-making across the organization.

You will partner with Engineering, Product, Security, and business stakeholders to translate needs into scalable data solutions, implement data quality checks, and promote best practices in analytics engineering.