ZoomInfo

ZoomInfo

ZoomInfo provides a comprehensive B2B database that offers accurate and actionable contact and company intelligence, enabling sales and marketing teams to enhance their campaigns and improve prospecting efforts through access to direct dial phone numbe...

Professional Services
1K-5K
Founded 2000

Description

  • Design and own end-to-end data pipelines across Fivetran, Airflow, dbt, and Databricks.
  • Architect and maintain the team's semantic layer in dbt, with reusable, tested, and documented models.
  • Set and enforce engineering standards for testing, CI/CD, code review, observability, data quality, and documentation.
  • Partner with senior stakeholders across Marketing, Finance, Sales, Legal, HR, and Product to scope data needs and translate requirements into technical solutions.
  • Own Terraform-managed infrastructure for Fivetran connectors and AWS/GCP resources.
  • Drive architectural decisions on ingestion patterns, warehouse design, and streaming versus batch tradeoffs.
  • Establish data governance practices, including PII handling, access controls, lineage, and compliance requirements.
  • Mentor teammates on technical execution, code quality, and system design.
  • Monitor pipeline SLAs, identify failure modes, and lead incident response for data issues affecting partner teams.

Requirements

  • 6+ years of professional experience as a Data Engineer with ownership of production pipelines at scale.
  • Expert-level SQL and Python experience, including query optimization, pipeline profiling, and production-grade coding.
  • Deep experience with a cloud data warehouse, with Snowflake strongly preferred and BigQuery or equivalent acceptable.
  • Strong dbt experience, including semantic layer design, modeling conventions, and team adoption or maturation.
  • Hands-on experience with orchestration tools, including Airflow and Fivetran.
  • Experience with Databricks and Spark for custom modeling and transformation workloads.
  • Experience operating across AWS and GCP, including AWS Airflow, S3, Lambda, and BigQuery.
  • Demonstrated ability to influence architectural decisions and set standards that other engineers follow.
  • Strong stakeholder management skills, including scoping conversations with senior non-technical partners.
  • Security-first mindset with experience handling PII, access controls, and data governance in regulated environments such as SOX or GDPR.
  • Production experience with at least one streaming technology, with Kafka preferred.
  • Experience designing semantic layers and CI/CD for data pipelines.
  • Experience with Dagster or an equivalent orchestration tool is a plus.
  • Broad end-to-end engineering experience before specializing is preferred.

Benefits

  • US base salary of $89,200 to $133,800.
  • Additional compensation may include bonus, commission, and equity.
  • Comprehensive benefits package.
  • Holistic mind, body, and lifestyle programs designed for overall well-being.
  • Remote-friendly role (#LI-Remote).
  • A culture that supports professional growth and impact.

Interested in this position?

Apply directly on the company website

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