Senior Data Engineer

🔥 26 minutes ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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ZoomInfo

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Private Equity Round on 2014-04

Consulting • Marketing • SaaS

ZoomInfo is a leading provider of go-to-market intelligence solutions for sales and marketing professionals. The platform offers comprehensive data insights and analytics to help businesses identify target audiences, manage customer relationships, and drive revenue growth. By leveraging advanced technologies and extensive databases, ZoomInfo enables organizations to optimize their sales strategies and enhance operational efficiency.

📋 Description

• Build and own end-to-end pipelines in Python and Airflow ingesting Salesforce, marketing, advertising, conversation intelligence, product usage, billing, and ZoomInfo data into Snowflake • Bring plan, quota, headcount, and cost data from Finance, RevOps, and HR systems into the warehouse • Establish certified metrics in the semantic layer with named business-owner approval • Implement tests, monitoring, documentation, and lineage for data quality and reconciliation to Finance • Apply row- and column-level access rules to sensitive fields such as compensation and quota • Run forecasts, territory and capacity models, cohort and retention studies, and impact readouts • Partner with Corporate Strategy, GTM Strategy, Business Partners, Finance, RevOps, and Data Engineering on definitions and self-serve certified tables • Own post-launch pipelines, participate in the business-hours on-call rotation, investigate root causes, write postmortems, and maintain runbooks • Follow and contribute to engineering standards including version control, code review, CI, and documentation • Help analysts use certified tables and the semantic layer

🎯 Requirements

• 5+ years in data or analytics engineering, with demonstrated ownership of production pipelines in a cloud warehouse • 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 GTM data in Salesforce or another CRM, including opportunity history, bookings, and renewals • Ability to work autonomously and scope ambiguous requests with stakeholders • Strong communication skills for explaining technical tradeoffs to non-technical partners • Familiarity with PII handling and access controls

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