Data Engineer

November 6

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Description

• Collaborate on the design and improvements of the data infrastructure • Partner with product and engineering to advocate best practices and build supporting systems and infrastructure for the various data needs • Create data pipelines that stitch together various data sources in order to produce valuable business insights • Create real-time data pipelines in collaboration with the Data Science team

Requirements

• 3+ years of experience in a data engineering role building products, ideally in a fast-paced environment • Good foundations in Python and SQL. • Experience with Spark, PySpark, DBT, Snowflake and Airflow • Knowledge of visualization tools, such as Metabase, Jupyter Notebooks (Python) • A knack for simplifying data, expressing information in charts and tables • Empathy: you are eager to see the world from your users’ perspectives • Energy: you’re attracted to ambiguity & are a self-starter. You love to drive the direction of ambiguous projects • Motivation: our mission excites you. We are working to solve the biggest problems in mental health care today (access and affordability) • Experience with Looker and build Looker ML models is a plus

Benefits

• Equity Compensation • Medical, Dental, and Vision coverage • HSA / FSA • 401K • Work-from-Home Stipend • Therapy Reimbursement • 16-week parental leave for eligible employees • Carrot Fertility annual reimbursement and membership • 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st • Flexible PTO • Employee Assistance Program (EAP) • Training and professional development