• Design and build robust data pipelines to efficiently ingest data from multiple sources and intelligently deal with the complexities of real-world data
• Manage large datasets with multiple business constraints and online/offline use-cases
• Refine Level's data model to cleanly represent the complex insurance ecosystem
• Drive the strategy and build best-in-class data platform to measure and increase member and provider engagement
• Make it easier to acquire data from a variety of channels
• Make it easier to consume market centric data sets to gain actionable insights
• Collaborate effectively with internal product, marketing, network and operation teams to leverage insights to measure product performance
• Establish a scalable delivery and support models to accelerate the go-to-market for the new products and services
• Provide clarity in prioritization of projects and communicate effectively
• Provide leadership to develop commercially viable architecture roadmaps, solutions & business-IT landscape aligned to the business strategy
• Contribute towards the overall data strategy by collaborating with cross-divisional stakeholders

• 5+ years of experience in data engineering and warehousing
• Experience with multiple database technologies (e.g., BigQuery, Postgres, Elasticsearch), strong proficiency in SQL, and a deep understanding of database design and organization
• Experience working on data-intensive problems and tackling common data challenges (cleaning, deduplication, and entity resolution)
• Experience working with confidential and highly sensitive information
• Familiar with distributed computing frameworks such as Spark and Beam
• Familiar with workflow managers (e.g. Airflow, Prefect)
• Familiar with event-driven architectures and systems (e.g., Kafka, RabbitMQ)
• Experience in a large matrix-style organization where your team collaborates and integrates with other teams across the organization
• Experience within a fast-paced B2B environment
• Comfortable architecting solutions with modern cloud infrastructure (AWS, GCP)
• Willingness to ask questions and learn about complex problem domains in order to craft solutions that best serve the needs of enterprise customers.

• AWS, Google Cloud Platform
• BigQuery, Postgres, MySQL
• dbt (data build tool)
• Kubernetes
• Golang, Python
• Protobuf / gRPC
• ElasticSearch
• React / React Native, Typescript

What We Offer:

• Have the chance to work at a leading innovator and trailblazer in the world of insurance and payments.
• Competitive salary and equity
• 100% paid medical for you and 80% for your dependents, 100% covered dental and vision through Level for you and your dependents
• Flexible vacation policy - take the time you need when you need it!
• Fully Paid Parental leave for 3 months
• Quarterly Company sponsored events
• Internal learning and development programs