About the Role

As a Data Engineer, you will be part of a new team of product-focused data engineers. You will work closely with our Growth (User Identity, Re-engagement, CRM) data product vertical, setting the culture, best practices, and expectations for how your new team's data engineers will work with our different product verticals. Each product team you will work with has unique data challenges, all revolving around massive datasets, so you should be adaptable, curious, and have a solid foundation in big data and engineering fundamentals. You will do everything from building efficient pipelines, helping data scientists and analysts get the data they need, and even building out specific data products to help non-engineering teams get better insight into their unique datasets.

This is a hybrid role based in our San Francisco office. The candidate is expected to be in the office twice a week. 

Your Responsibilities:

• Be the primary owner of the data needs of a specific product vertical. That means everything from raw-data ingestion to end-user analysis
• Build intuitive, easy-to-use, and high-quality datasets using Spark and DBT
• Track down data quality issues when they arise, and then set appropriate data quality monitors and alerts to help prevent future incidents
• Participate in the occasional daytime on-call rotation
• Really understand your product vertical's datasets, with an ability to document and educate your team on how certain tables / fields are meant to be used
• Be the liaison between your product vertical and the core data infrastructure team to make sure business needs are met in a computationally efficient manner

Your Background:

• 5+ years of data engineering experience building scalable, flexible, and always-on data pipelines
• Strong experience using SQL and Python for data manipulation
• Experience with efficiently working with datasets at TB scale
• Familiarity with Databricks, DBT, and AWS in particular is helpful
• A passion for shipping production quality code with good test coverage
• Bonus if you have experience working with Braze CRM API

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.

California Compensation:

Base ($121,000 - $160,000/year) + Bonus + Long Term Incentive Plan + Benefits

#LI-MQ1