Data Engineer III
Toronto · CA-Ontario · 4+ years experience · Full-time · Remote · Posted Sep 23, 2026
At a glance
- Experience
- 4+ years experience
- Employment
- Full-time
- Workplace
- Remote
- Location
- Toronto · CA-Ontario
About ZoomInfo
- ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
- ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
- ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
- ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
- For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
About the role
- The Data Engineer III is a core builder on the Strategic Partnerships team's data platform at ZoomInfo.
- They design and ship ETL pipelines, semantic models, and supporting infrastructure for cross-functional initiatives across Marketing, Finance, Sales, Legal, HR, and Product.
- This role operates with a high degree of autonomy, owning projects end-to-end from scoping to production deployment and monitoring.
Responsibilities
- Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks.
- Design and maintain dbt models that feed the team's semantic layer, ensuring they are tested, documented, and reusable.
- Partner directly with stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to scope data requirements and translate them into pipeline specs.
- Contribute to Terraform-managed infrastructure for Fivetran connectors, GCP resources, and AWS components.
- Follow and contribute to team engineering standards including testing, CI/CD, code review, observability, and documentation.
- Independently resolve complex ETL and data quality issues, escalating only when architectural tradeoffs are in play.
- Monitor pipelines for SLA compliance and participate in incident response.
- Apply data governance practices to ensure PII is handled correctly and BU-specific compliance requirements are met.
- Communicate technical concepts clearly to non-technical stakeholders and advise them on feasibility.
Requirements
- 4+ years of professional experience as a Data Engineer, with demonstrated ownership of production pipelines
- Strong SQL and Python; comfortable writing production-grade code, debugging complex pipelines, and optimizing queries
- Hands-on experience with a cloud data warehouse (Snowflake strongly preferred; BigQuery or equivalent acceptable)
- Solid dbt experience — has built and maintained models in a production dbt project
- Experience with orchestration tools — Airflow and Fivetran required
- Experience with Databricks and Spark for custom modeling and transformation workloads
- Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery and adjacent services)
- Ability to work autonomously to take an ambiguous ask, scope it with a stakeholder, and ship a solution with minimal oversight
- Strong communication skills with the ability to explain technical tradeoffs to non-technical partners
- Security-first mindset; familiar with PII handling and access controls
Preferred qualifications
- Dagster or equivalent orchestration tools
- Snowflake strongly preferred
Skills
- Python
- SQL
- Snowflake
- BigQuery
- Fivetran
- Airflow
- AWS
- S3
- Lambda
- Dbt
- Databricks
- Terraform
Show all 15 skills
- GCP
- GitHub
- Spark
