2 months ago
Toronto, CanadaSenior
Responsibilities
- Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks.
- Design, test, document, and maintain dbt models supporting the semantic data layer.
- Partner with stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to scope requirements and define pipeline specifications.
- Contribute to Terraform-managed Fivetran connectors, GCP infrastructure, and AWS resources.
- Follow and improve engineering standards covering testing, CI/CD, code review, observability, and documentation.
- Resolve complex ETL and data quality issues independently, escalating architectural tradeoffs when necessary.
- Monitor pipelines for SLA compliance and participate in incident response.
- Apply data governance practices for PII and business-unit compliance requirements.
- Explain technical tradeoffs clearly to non-technical stakeholders and advise on solution feasibility.
Requirements
- 4+ years of professional Data Engineer experience with ownership of production pipelines.
- Strong Python and SQL skills, including production-grade coding, debugging, and query optimization.
- Hands-on experience with a cloud data warehouse; Snowflake is strongly preferred, with BigQuery or an equivalent accepted.
- Production experience building and maintaining dbt models.
- Experience with Airflow and Fivetran; Dagster or an equivalent orchestration tool is a plus.
- Experience with Databricks and Spark for custom modeling and transformation workloads.
- Experience with AWS, including S3 and Lambda, and GCP, including BigQuery and adjacent services.
- Experience with CI/CD for data pipelines and contributing to a team dbt project.
- Familiarity with Terraform or another infrastructure-as-code tool.
- Ability to work autonomously, scope ambiguous requests with stakeholders, and deliver solutions with minimal oversight.
- Strong communication skills and the ability to explain technical tradeoffs to varied audiences.
- Familiarity with PII handling, access controls, and data governance.
- Broad end-to-end data engineering experience combined with specialized depth.
Benefits
- Remote work is indicated by the #LI-Remote designation.
Tech Stack
Apache AirflowApache SparkAWSDatabricksdbtGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSQLTerraform
Categories
Data Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.