The kind of person we’re looking for:

A Senior Data Engineer who is interested in working with data scientists, analysts, software engineers, business users and extracting/loading/transforming big data to make it actionable. Our SaaS platform produces a very high volume of data from different sources and formats. The Data Engineering team develops the platform to store and process this data producing actionable insights for our customers. We are a highly team-oriented environment where collaboration between developers and across teams is common – particularly in this role as you will need to work with the data science teams to understand the algorithms as well as the engineering team to be able to move products to production in a reliable way. Giving and receiving of feedback, debate, and ideas for betterment are actively encouraged.

Our company has an open, relaxed, and friendly environment where jokes and silliness are common, yet we’re serious about the work we do. We are a group of bright, curious, and empathetic individuals working together to build data products that bring innovation to the market and provide useful insights to marketers. We value diverse perspectives and believe that encouraging everyone to use their voice ultimately makes our products better!

The kind of stuff you’ll be doing:

• Working with the best tools of the modern data stack: Snowflake, Fivetran, HVR, Coalesce, Astronomer

• Being a thought leader in the design of our infrastructure that delivers data to our Data Science Teams

• Creating new real time ETLs with data from our transactional platform that will enable better analytical models for our Data Scientists and Analysts

• Working with our Engineers on data pipelines for data to be available for use in our transactional platform

Who you will be working with:

• Data Engineers within our team (Data Engineering)

• Data Analysts and Strategists within the Strategy & Analytics Team

• AI/ML Engineers, Analytics Engineers, and Data Scientists

• Engineers and Product Managers within the Transactional Processing Team

The kind of experience you’ll need:

• 5+ years writing SQL

• 3+ years writing Python (specific to data processing)

• 3+ years working with data pipelines

• 2+ years architecting data warehouse schemas

• 1+ year working with modern ETL tools (Fivetran, HVR, or equivalent)

The extra stuff that would be nice:

• Experience with Snowflake

• Experience with Airflow

• Experience with Looker

• Experience with Git (or other version control tools)

• Experience working in an Agile environment

Salary: $145k-$160k