Staff Data Engineer

• Lead the enhancement of internal processes, focusing on scaling infrastructure, streamlining data delivery, and implementing automation to replace manual operations
• Design and implement advanced infrastructure for efficient data extraction, transformation, and loading (ETL) using cutting-edge AWS and SQL technologies
• Develop sophisticated analytical tools that leverage the data pipeline to deliver deep insights into critical business metrics such as customer growth and operational efficiency
• Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements
• Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues
• Make a meaningful impact on our community members' lives
• Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews
• Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success
• Estimate and manage team project timelines and risks
• Participate in hiring and onboarding for new team members
• Lead cross-team engineering initiatives
• Constantly learning about new technologies and industry standards in data engineering

• 7+ years in designing, building, and maintaining the Data infrastructure, and the ability to lead complex projects and teams
• Bachelor's, Master's, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience
• Knowledge of Kafka
• Proficiency in programming languages like Python and Scala
• Strong knowledge of distributed computing frameworks, including Apache Hadoop and Apache Spark, and of cloud platforms such as AWS, Azure, and GCP
• Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance
• Proficiency in Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices
• Experience in managing event-driven systems (especially in Kafka ecosystems)
• Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices
• Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocol

Working experience with Databricks would be nice to have

• healthcare
• internet/cell phone reimbursement
• a learning and development stipend
• potential opportunities to travel to our Mountain View HQ