Data Analytics Engineer

YouTube, a leading video-sharing platform, is seeking a Data Analytics Engineer to join their Analytics and Decision Support team. This role is crucial in developing and maintaining the data infrastructure that powers YouTube's business intelligence and decision-making processes.

As a Data Analytics Engineer, you'll be part of a dynamic community of analytics professionals working on diverse projects that impact YouTube's content partnerships and creator ecosystem. Your primary focus will be on building and optimizing data pipelines that help run the business, creating tools for analyzing partnerships, and guiding business leadership in optimizing partner-facing teams.

The role requires strong technical expertise in data engineering, with at least 3 years of experience in programming and data pipeline design. You'll work with various stakeholders to gather requirements, implement solutions, and ensure data reliability. The position offers competitive compensation ($124,000-$178,000) plus bonus, equity, and benefits.

YouTube's mission centers on giving everyone a voice and building community through shared stories. The company operates at the intersection of cutting-edge technology and creativity, moving at the speed of culture. You'll be working in Mountain View, CA, where you'll collaborate with talented professionals who are passionate about using data to drive business success.

Key responsibilities include designing ETL pipelines, working with analysts to scale data capabilities, and driving standards in data governance. You'll need excellent communication skills and the ability to work in a fast-paced environment with multiple stakeholders. This role is perfect for someone who combines technical expertise with business acumen and wants to impact how YouTube uses data to make strategic decisions.

The ideal candidate will have experience with data warehouses, distributed platforms, and data lakes. You'll need to be comfortable with SQL and various data tools, and have the ability to break down complex problems. The role offers growth opportunities within Google's ecosystem and the chance to work on projects that directly influence YouTube's business strategy and success.