Senior Data Engineer – Yield Management (GTM Data Engineer)

Role Overview

This role sits at the intersection of data engineering, business intelligence, data science, and data governance, and is ideal for someone who enjoys solving a business problem from raw datasets to endpoint to business-ready metric.

What You Will Do

Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources into Google BigQuery and other cloud data platforms.

Why It Might Be a Fit

We are looking for a Data Engineer to design, build, and maintain end-to-end data solutions — from raw data ingestion through to curated metrics that power advanced analytics, business intelligence dashboards and business decision-making.

Requirements

• Design, build, and maintain scalable ETL/ELT pipelines
• Develop, document, and maintain curated business-ready metrics
• Design and manage a curated data layer
• Design, build and manage business friendly dashboards
• Implement and maintain a data catalog / knowledge catalog
• Optimize BigQuery performance
• Build data quality checks, monitoring, and alerting
• Collaborate with cross-functional teams
• Enforce data governance, security, and access control standards
• Write clean, well-tested, and maintainable code
• Create and maintain CI/CD pipelines
• Participate in code reviews, architecture discussions, and CI/CD pipeline development

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or retirement plan
• Paid time off (vacation, sick leave)
• Paid holidays
• Flexible work arrangements (hybrid)

Tagged as: BigQuery, Pipeline Management