Data Enablement Engineer

About the role

The Data Enablement Engineering team at Betterment sits at the intersection of the Product Analytics and Data Platform teams - serving as the domain and technical experts that translate business needs into beautiful data products. We own data cleanliness end-to-end, from extracting data from both internal and external sources to thoughtfully curating that data into easy-to-use and understand domains. Our work adds tremendous value to the business and we are looking for more thoughtful, driven, and curious people to push the business even further.

This role is based out of our NYC office. Below we've reflected the base salary range we would offer for this position. Actual salaries may vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Betterment's total compensation package for employees.

• New York City:$100,000 - $120,000

We offer a competitive equity package, health, dental and vision benefits, life and AD&D, short-term and long-term disability insurance, EAP, commuter and parking benefits FSA/HSA, and 401(k) with employer match as well as a flexible PTO policy. This job may also be eligible for variable compensation in the form of a company incentive bonus. For jobs based out of our NYC HQ, we require in office attendance Monday through Thursday, weekly.

A day in the life

• Be a key curator of data. You will build and maintain the reporting layer of our team's data environment to make data standardized, easily accessible, and performant
• Work closely with Product Engineering and our stakeholders to create the data needed to market and measure the success of our product launches
• Maintain and optimize monitoring and alerting for our company's reporting pipelines and analytics infrastructure
• Partner with our Finance team to curate the data pipelines necessary to understand how our businesses are performing
• Find ways to spread knowledge and increase data literacy across the organization
• Think about scale and new technologies that will enable us to achieve a high level of efficiency for our data platforms

What we're looking for

• 1 - 3 years of experience writing SQL statements and transforming data
• Familiarity with ETL, Python, and creating pipelines for large datasets
• Passion for scaling and automating analytics work
• Ability to take apart business problems, translate them into technical requirements, and translate results back to non-technical audiences
• Autonomy, curiosity, and tenacity as a data issue detective
• Previous exposure to DBT, Metabase, Airflow, Segment, Mixpanel, and/or DAG management platforms preferred