Senior Data Engineer

To be successful in this role, you must possess the following:

• Experience with Python, SQL, Spark
• Expertise in data modelling  
• Experience working in a dev ops oriented team environment
• Comfortable working with technology such as Airflow, Terraform, Kinesis, Hadoop, EMR, Databricks, Presto
• Business Acumen – you are always eager to understand how the business works, and more specifically, how your work impacts the business.  
• Comfort with QA’ing your own data, to include ‘menial tasks’ like listening to calls or scrubbing excel files to ensure everything is correct 
• Comfort with learning new technologies to help the team explore new solutions to existing problems 
• Excellent communication ability – you can explain your work in a way that anyone on the team can understand, and you can frame problems in a way that ensures the right question is being asked. 
• Enthusiastic yet humble – you are excited about the work you do, but you are also humble enough to embrace feedback – you don’t need to be the smartest person in the room. 
• Bachelors degree in mathematics, statistics, data science or related field of study.

The following additional experience is desired:

• You have a proven ability to drive business results by building the right infrastructure that enables data-based insights. You are comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for enabling the discovery of solutions hidden in large data sets and working with stakeholders to improve business outcomes.  We’re growing at a rapid pace, so it’s important that you embrace the opportunity to blaze your own trail. You thrive in a fast-paced environment where priorities can shift rapidly as we corner opportunity.  You can work independently, with little oversight or guidance.