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Leafly seeks Data Engineer in Seattle

Note: All information posted here was gleaned from the job listing. Please contact original recruiter with questions or to apply.

Data Engineer sought by Leafly in Seattle

Leafly is 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:

What We Look For In Our Engineers:

What We Are Looking For In This Role

You are excited at the prospect of leveraging technology to solve complex data problemsBuild data applications and microservices on AWSDesign, 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.

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