Overview Join to apply for the Data Solutions Engineer, Storage role at DoorDash . The Storage teams build and operate online stateful systems and abstractions that are reliable, efficient, secure and easy to use for DoorDash Engineering. The teams are responsible for understanding Product Engineering’s evolving needs and developing platform and infrastructure capabilities to serve them. The team currently supports CockroachDB, Cassandra, Kafka and Redis as well as data abstraction services to reduce the complexity of interacting with storage systems for Product Engineers. About The Role We’re hiring a Data Solutions Engineer with deep expertise in distributed databases, particularly Apache Cassandra, Redis, Kafka, and database agnostic abstractions. In this role, you will design, optimize, and scale distributed data access layers that power DoorDash’s most critical systems, ensuring high availability, low latency, and fault tolerance. You’ll serve as a hands-on architect and technical partner to product engineering and infrastructure teams, helping translate complex business requirements into resilient and scalable data models. Your work will directly influence the evolution of Taulu , DoorDash’s unified storage abstraction layer, by shaping best practices and identifying platform gaps through real world engagements. This is a high-impact, cross functional role that combines deep technical expertise with a customer centric approach. You’ll lead solutioning engagements from design through production, drive the adoption of Taulu modeling best practices, and ensure that our systems meet goals around reliability, cost efficiency, and velocity. You must be located in San Francisco, Sunnyvale, Seattle or New York for this hybrid opportunity. You’re Excited About This Opportunity Because You Will… Design and implement highly scalable, fault tolerant distributed database solutions using Taulu, Apache Cassandra, Redis, Kafka, and other paved path storage solutions. Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput. Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads. Partner with product engineering and infrastructure teams to deeply understand domain specific data needs and guide them in adopting paved path storage solutions. Serve as the DRI for solutioning engagements, owning modeling in Taulu from experimentation through launch and scale. Shape the evolution of Taulu by identifying abstraction gaps and converting customer feedback into platform improvements. Apply workload-aware design patterns, including caching strategies, partitioning, and consistency tuning to improve performance and efficiency. Drive adoption of operational best practices across observability, schema design, capacity planning, and cost optimization across storage systems. Promote clarity and continuity by contributing to solutioning playbooks, decision logs, and architectural documentation. We’re Excited About You Because… You have 10+ years of experience designing and scaling distributed data systems, with deep expertise in NoSQL technologies like Apache Cassandra, DynamoDB, or ScyllaDB. You have a strong command of distributed system concepts such as replication, partitioning, tunable consistency, and failure recovery. You’ve led data modeling efforts for high-throughput, low-latency workloads and understand the real-world trade-offs involved in NoSQL schema design. You are experienced with caching technologies like Redis or Memcached and know how to layer them effectively over storage systems to optimize for performance and cost. You have a customer-first mindset, and thrive when working closely with product and platform teams to translate complex requirements into clean, scalable data models. You are skilled at communicating complex architecture decisions and building alignment across infrastructure and product engineering organizations. You have a track record of mentoring engineers, influencing data architecture at scale, and fostering best practices in reliability, observability, and data access patterns. You document decisions, share learnings, and take pride in contributing to reusable playbooks and durable frameworks for others to build upon. Bonus: You’ve worked on or contributed to open-source distributed databases. Compensation & Benefits Compensation details: The starting base salary ranges are provided below and are localized by work location. Base salary is complemented by equity grants. See details below for ranges and paid time off information. The national base pay ranges for this position within the United States, including Illinois and Colorado. $130,600—$192,000 USD $159,800—$235,000 USD $193,800—$285,000 USD We offer a comprehensive benefits package to all regular employees, including a 401(k) plan with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave, health benefits, disability and life insurance, and additional family-support programs. To learn more about our benefits, visit our careers page. Paid Time Off Details For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation and sick time accrual details described in the original posting. About DoorDash DoorDash is a technology and logistics company focused on empowering local economies. We are committed to a diverse and inclusive workplace and provide accommodations as needed. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. We hire and cultivate diverse teams and encourage applications from people of all backgrounds. We will consider qualified applicants with arrest or conviction records in a manner consistent with applicable laws. If you need accommodations, please inform your recruiting contact upon initial connection. Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development

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