Senior Data Engineer

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 scales 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 our complex, often unstructured & ambiguous problems

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program

• Ability to clearly present learnings to business leaders and technical stakeholders
• Experience with ETL and sourcing data from various sources
• Designing and building complex data pipelines in a large scale data environment
• Experience using Snowflake a plus
• The ability to thrive in a dynamic environment. That means being flexible and willing to jump in and do whatever it takes to be successful
• BS in a technical field (CS, Physics, Math, etc), MS/PhD a plus
• Familiarity with developing data products to drive data science and analytics initiatives
• Proficiency in Python & SQL 3-5 years experience including:
• Experience with Apache Airflow is desirable