Data Engineer

About the Role

Key Responsibilities

• Design, build, and own the key data infrastructure to manage data and usage across our Snowflake account
• Interface with data scientists, product managers, and business stakeholders to understand data needs and help build data products and tools that scale across the company
• Design, implement and maintain custom data ingestion pipelines sourcing data from application APIs
• Collaborate closely with Engineering, Product Management, IT, Finance, and Compliance to inform product decision making with data and to identify opportunities for system improvements
• Answer questions from the executive team for board reporting, publications, and industry reports
• Think creatively to find optimal solutions to complex, often unstructured and ambiguous problems

Requirements

• 3-5 years experience including designing and building complex data pipelines in a large scale data environment
• Familiarity with developing data products to drive data science and analytics initiatives
• Experience with ETL and sourcing data from various sources
• Proficiency in Python and SQL
• Ability to clearly present learnings to business leaders and technical stakeholders
• The ability to thrive in a dynamic environment, being flexible and willing to do whatever it takes to be successful

Nice to Have

• Experience with Apache Airflow
• Experience using Snowflake
• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus

Qualifications

• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus

Benefits & Perks

• Competitive salary range of $130,000 - $173,200 plus bonus and equity plan
• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending and health savings accounts
• At least 12 paid holidays and paid time off
• Parental leave
• Employee assistance program
• Other company benefits