We are looking for a Data Engineer who is passionate about the insights that can be extracted by combining large amounts of data. The ideal candidate is a curious, data-driven individual who wants to work in a dynamic, fast-paced environment. He/she will be comfortable working with Data Scientists, Machine Learning Engineers, Business Analysts, Product Managers and other stakeholders in helping define data requirements and opportunities.

Your Mission

• Work across departments to centralize many data sources in a data lake on AWS.
• Think strategically about gaps in data and how to increase accessibility and value of existing data sources.
• Work with data scientist and business intelligence teams to build data pipelines that serve production machine learning models and analytics dashboards.

Stack and Experience

• Bachelor’s degree in Computer Science or related technical field.
• 2+ years of relevant work experience.
• Strong drive to learn, experiment, and drive outcomes.
• Proven experience building data models and ETL pipelines.
• Familiarity with AWS services such as S3, Lambda, Glue, EMR, Athena, Step Functions, Redshift Spectrum, and AWS Database Migration Service.
• Experience using SQL, Python, and PySpark.