Data Engineer III

ZoomInfo Technologies LLC; Toronto; A distancia; CAD 110.000 - 150.000; Jornada completa

Descripción de la vacante

ZoomInfo Technologies LLC is seeking a Data Engineer III to join the Strategic Partnerships data platform. You’ll design and ship ETL pipelines, semantic models, and the infrastructure powering cross-functional initiatives with Marketing, Finance, Sales, Legal, HR, and Product.

The Data Engineer III operates with autonomy, owning projects end-to-end—from scoping with BU stakeholders to deploying pipelines and monitoring in production.

Formación

• 4+ years of professional experience as a Data Engineer with ownership of production pipelines.
• Strong SQL and Python with production-grade coding and debugging skills.
• Hands-on experience with a cloud data warehouse (Snowflake preferred; BigQuery acceptable).
• Solid dbt experience with production models.
• Experience with orchestration tools – Airflow and Fivetran required; Dagster a plus.
• Experience with Databricks and Spark for modeling.
• Experience with AWS (Airflow, S3, Lambda) and GCP (BigQuery).
• Ability to work autonomously and communicate complex topics to non-technical stakeholders.

Responsabilidades

• Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks.
• Design and maintain dbt models feeding the semantic layer.
• Collaborate with Marketing, Finance, Sales, Legal, HR, and Product to translate requirements into pipelines.
• Contribute to Terraform-managed infrastructure for Fivetran, GCP, and AWS components.
• Follow team standards: testing, CI/CD, code reviews, observability, and docs.
• Independently resolve complex ETL and data quality issues.
• Monitor pipelines for SLA compliance and participate in incident response.
• Apply data governance for PII handling and BU-specific compliance.

Conocimientos

SQL

Python

Snowflake

dbt

Airflow

Databricks

AWS

GCP

Lambda

BigQuery

Herramientas

Fivetran

Terraform

GitHub

S3

Descripción del empleo

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.

The Data Engineer III is a core builder on the Strategic Partnerships team's data platform. They design and ship ETL pipelines, semantic models, and the supporting infrastructure that powers cross-functional initiatives with Marketing, Finance, Sales, Legal, HR, and Product. Because the team operates on a project/intake basis across many business units, this role requires someone who can context-switch between domains, get up to speed on unfamiliar data quickly, and deliver pipelines that stakeholders can rely on without hand-holding.

The Data Engineer III operates with a high degree of autonomy. They own projects end-to-end — from scoping with BU stakeholders, to building and deploying pipelines, to monitoring them in production. They follow the standards set by the team and contribute back to them as they grow in the role.

What You'll Do:

The Data Engineer III will work within an established data stack that includes:

• Warehousing: Snowflake as the primary warehouse; BigQuery for GCP-native workloads
• Ingestion: Fivetran for SaaS-to-Snowflake pulls; Airflow (on AWS) for custom DAGs, Lambda-based extraction, and S3 staging
• Modeling: dbt for transformation and semantic layer definition
• Custom compute: Databricks for bespoke modeling work that doesn't fit cleanly into dbt/Snowflake
• Infrastructure: Terraform for managing Fivetran connections, GCP infrastructure, and AWS resources
• Version control & CI/CD: GitHub
• Consumption: Tableau dashboards; internal tools built on top of semantic data layers

Responsibilities:

• Build and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks — selecting the right tool for each problem with guidance from the Senior Data Engineer on novel cases
• 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 — 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 (Finance, Legal, HR) are met
• Communicate technical concepts clearly to non-technical stakeholders and advise them on what is and isn't feasible

What You Bring:

• 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; Dagster or equivalent a plus
• 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 — can take an ambiguous ask, scope it with a stakeholder, and ship a solution with minimal oversight
• Strong communication skills — can explain technical tradeoffs to non-technical partners and adapt style to different audiences
• Security-first mindset; familiar with PII handling and access controls
• Has built something end-to-end before specializing — values broad competence paired with depth

Skills:

Core: Python, SQL, Snowflake, dbt, Airflow, Fivetran, Databricks, AWS (S3, Lambda, Airflow), GCP (BigQuery), GitHub

Required: Experience with CI/CD for data pipelines; experience contributing to a team dbt project; familiarity with Terraform or another IaC tool

#LI-JH1 #LI-Remote

About us:

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.

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