Lead Data Engineer

Objectives of this roleWork with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processesHelp streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention modelsWork closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learningBe an advocate for best practices and continued learningResponsibilitiesWork closely with our data science team to help build complex algorithms that provide unique insights into our dataUse agile software development processes to make iterative improvements to our back-end systemsModel front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysisBuild data pipelines that clean, transform, and aggregate data from disparate sourcesDevelop models that can be used to make predictions and answer questions for the overall businessRequired skills and qualificationsThree or more years of experience with Python, SQL, and data visualization/exploration toolsFamiliarity with the AWS ecosystem, specifically Redshift and RDSCommunication skills, especially for explaining technical concepts to nontechnical business leadersAbility to work on a dynamic, research-oriented team that has concurrent projectsPreferred skills and qualificationsBachelor’s degree (or equivalent) in computer science, information technology, engineering, or related disciplineExperience in building or maintaining ETL processesProfessional certification