Drizly is the world's largest alcohol marketplace & the best way to shop beer, wine & spirits. Our customers trust us to be part of their lives - their celebrations, parties, dinners & quiet nights at home. We are there when it matters - committed to life's moments & the people who create them. We partner with the best retail stores in over 1650 cities across North America to serve up the best buying experience. Drizly offers a huge selection & competitive pricing with a side of personalized content. That is what we do.  Who we are is a different story.

We are more than just another tech company. There is an intellectual curiosity that occurs at Drizly.  We have a desire to question, to understand, to figure it out. Bottom line, we solve it. We value not just the truth but the process to get to the truth, to deliberate, decide & then act.  Most importantly, we care. We care about our customer. We care about our company. We care about our team. There will be long days & incredible challenges.

We are blazing a trail in an industry that hasn't changed in nearly a century, & that doesn't scare us (well, not all the time) -and even when it does, it doesn't stop us, it energizes us.

Do you see yourself here?  Read on.

You thrive on making analysts' lives better by implementing reliable data pipelines, automating processes, & giving technical support. You understand the importance of DataOps & DevOps principles, & how they can be applied to a data team. You see yourself as a cross between a data engineer & a DevOps engineer. You operate in a collaborative nature, enjoy learning new cutting edge technologies, & keep your finger on the pulse in the world of Data Engineering & the modern data stack.

You are comfortable working with data at the terabyte (or greater) scale, & have a consistent track record implementing batch & streaming solutions. You enjoy building & optimizing existing data pipelines with a focus on continuous improvement & software development standard methodologies. You love working with data & have experience in data modeling, data access, & data storage techniques. Your toolkit includes SQL for transformation, python for ETL & scripting, Kafka and/or Kinesis for streaming jobs, & the ability to solve distributed systems, optimize queries, & tune tables. You have experience interacting with REST APIs, SDKs, HTTP, FTP & OAuth to facilitate the flow of data.

The Senior Data Engineer on the Data Platform team will accelerate the rest of the analytics team & Drizly. From building a data processing framework to help support billions of events, to integrating new data pipelines, Drizly's most critical decisions will rely on a scalable, well-managed foundation of data. This tech savvy individual will be the account admin of tools across our data stack to enable analytics engineers to do their jobs more efficiently. 

The Senior Data Engineer is a critical & foundational member of the Data Platform team, & will work closely with analytics engineering, data science, infrastructure & platform engineering, & security. In short, the Senior Data Engineer is a tech savvy individual who will help define the building blocks for Drizly's Data Platform capabilities internal & external to our organization.