Sr. Data Engineer, Analytics

About the position

We're looking for a Data Engineer to help us maintain the foundation of our data warehouse and create a standardized and opinionated data model for our embedded analysts to expand. Our data warehouse is built using tools like BigQuery, Airflow, and dbt. We're happy to share that this is an onsite position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.

Responsibilities

• Implement data pipelines and data ingestion best practices
• Collaborate with cross-functional teams, including Product Management, Data Analytics, and Product Engineering, to build systems that support a diverse range of data needs
• Build tools and models for our data warehouse that increase data quality and development efficiency
• Troubleshoot and resolve performance challenges with our jobs and queries
• Design tools and tests for product engineers to ensure data quality at the time it is produced
• Automate and enhance the software development lifecycle of our data processes by adding automation and working with dbt, Airflow, and other tools

Requirements

• Strong communication skills with people at all levels of data/technical proficiency
• Demonstrated expertise in building scalable, high-performance data pipelines
• Ability to create robust data standards for internal and cross-functional teams
• Familiarity with programming language practices for both frontend and backend systems
• Extensive experience in SQL and using cloud-based databases such as BigQuery, MySQL, or Snowflake

Nice-to-haves

• Experience with Google Cloud Platform and dbt
• Experience with software development particularly using GoLang

Benefits

• Total compensation for this role is market competitive, including a starting base salary of $161,000 - $207,000, depending on location and experience, as well as company stock options
• 20 vacation days (and we expect you to take them!)
• Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice)
• Employer-sponsored 401k plan with company match
• Access to LinkedIn Learning and other resources to support professional growth
• Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits
• 40 hours of annual paid time off to participate in volunteer programs of choice