Data Engineer

Description:

The Data Engineer will work closely with senior developers to build out new and maintain existing ETL pipelines in Airflow. They will be part of our Data Technology team working with an all new technology stack, working closely in collaboration with internal and external stakeholders.

Now, if you were to come on board as our Data Engineer, we’d ask you to do the following for us:

• Design, implement and maintain data pipelines for extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
• Build and maintain existing Airflow DAGs
• Maintain and add to our middle tier API
• Prototype new technology that supports our vision of making our consumer’s experiences better with our data
• Provide support and insights to the business analytics and data science teams
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Think you have what it takes to be our Data Engineer? We’re committed to hiring the best talent for the role. Here’s how we’ll know you’ll be successful in the role:

• At least 2-3 years of relevant experience in a similar role or function
• Bachelor’s degree or equivalent in Computer Science, Computer Engineering, Information Systems or similar
• Programming skills with Python and Spark
• Exposure to at least one cloud provider, AWS preferred
• Knowledge of SQL, relational database concepts and SQL scripting
• Some experience with Airflow highly preferred, or similar systems
• Web Development skills with languages and frameworks like Angular, Node.js would be a plus
• Experience with Docker, Kafka or other data stream processing software platform is preferred