HELP US MAKE HISTORY. Millions trust Leafly to help them find unbiased information about nearby strains and dispensaries, discover new cannabis brands and products, and to stay up-to-date on the latest cannabis information. Leafly started as an excel spreadsheet and has since grown to become the largest cannabis information resource in the world. We are expanding rapidly, and we are looking for smart, forward-thinking leaders to help us achieve our goal of shaping the global cannabis landscape.
A career at Leafly combines the excitement of a start-up, the social purpose of a non-profit, and the growth opportunities of a major corporation. Leafly salaries and benefit packages are very competitive, the office perks are excellent, and we promise that you will never be bored. If you have what it takes, you will be joining a global network of innovative, passionate individuals on a revolutionary mission to change the world for the better.
We are currently seeking a Data (Warehouse) Engineer to join our Data Engineering Team and help us continue to build a scalable data platform for analytics and data science applications. You will work in our engineering department at our headquarters in Seattle, WA or our office in Baltimore, MD. For the right candidate, other remote locations will also be considered!
What We Look For In Our Engineers
You're curious about new things. When you see something you're unfamiliar with, you ask someone to teach you more about it, or just dive straight in and figure it out.
You want to automate everything. Automation solves problems for you and allows you to spend less time on mundane and repetitive tasks and more time learning and building things.
You’re a self starter and collaborative. You’re comfortable working independently as well as pairing or collaborating with other engineers. You ask for help when you need it, and you help your teammates. You make us better and vice versa.
You're a great communicator. You're excited to share what you know and eager to hear what others have to teach you.
You have a customer service mentality. When someone is struggling with a tool you built, you're there to help them understand it and get the most out of it.
You're always looking for ways to improve. Whether it's self-improvement through learning new skills, or improving the systems we build by making them faster, more reliable, or more observable, you're constantly on the lookout for opportunities to make things better.
What We Are Looking For In This Role
- You are excited at the prospect of leveraging technology to solve complex data problems
- Build data applications and microservices on AWS
- Design, develop, and maintain a world class data warehouse and analytics architecture to meet business analysis, reporting needs, and data science initiatives
- Work directly with marketing, sales, business analysts and data scientists to assist in data extraction and analysis projects
- Participate in the development and maintenance of ETL jobs and data pipelines to populate the data warehouse from production databases, cloud platforms and various external data sources
- Design and develop data marts for consumption by analytics tools and end users
- Develop code standards, guidelines, and automated test suites to manage and ensure highest data quality and integrity
- Optimize and scale data warehouse and data processing infrastructure
- Evaluate new technologies and constantly work towards continuous improvements in data engineering, our platform, and the organization
Preferred Qualifications
- 3+ year of professional experience in a relevant field (Data Engineer, Data Warehouse Engineer, Software Engineer, etc.)
- Experience with Python or similar programming languages; Feel at home with SQL
- Experience writing code leveraging ETL tools such as Airflow, Luigi, Stitch, Pinball, etc.
- Experience working with AWS or similar cloud computing platforms
- Experience with data warehouses platforms such as Redshift, BigQuery, Snowflake, Panoply, etc.
- Experience with Postgres or similar RDBMS; NoSQL experience also encouraged
- Experience with Elasticsearch or similar search and analytics engines
- Experience with data pipelines and streaming frameworks such as Spark, Storm, Kafka
- Experience with business analytics tools such as Tableau, Looker, Metabase, etc.
- You’re familiar with deploying applications using Docker and Kubernetes, or similar technologies
- You’re interested in data science and how it can be leveraged to gain deeper data insights
- Ability to embrace, learn, and apply new technologies and tools
- Familiarity working in smaller teams with a drive to ship quickly
- Understanding knowledge of agile software development practices
- Ability to communicate well with both technical and non-technical teams
The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended.