DoorDash
Overview
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. They understand Product Engineering’s evolving needs and develop 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 Team 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 The starting pay for this role will be determined based on factors including skills, experience, and location. Base salary is localized according to work location. This role offers opportunities for equity grants. We also provide a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave where permitted by law, disability and life insurance, and additional family-forming and mental health support.
To learn more about 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 accrual and paid sick time accrual details as described by policy.
The national base pay ranges for this position within the United States vary by location and are determined by market conditions.
About DoorDash DoorDash is a technology and logistics company focused on empowering local economies. We’re committed to supporting employees’ happiness, healthiness, and well-being by offering comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more.
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 of people from all backgrounds, experiences, and perspectives. We value a diverse workforce and strongly encourage applications from women, non-binary and gender non-conforming individuals, LGBTQIA+, people of color, differently-abled individuals, caretakers and parents, and veterans.
Pursuant to applicable hiring regulations, we will consider qualified applicants, including those with arrest and conviction records. If you need accommodations, please inform your recruiting contact.
Seniority level
Mid-Senior level
Employment type
Part-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr
About The Team 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 The starting pay for this role will be determined based on factors including skills, experience, and location. Base salary is localized according to work location. This role offers opportunities for equity grants. We also provide a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with employer matching, paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave where permitted by law, disability and life insurance, and additional family-forming and mental health support.
To learn more about 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 accrual and paid sick time accrual details as described by policy.
The national base pay ranges for this position within the United States vary by location and are determined by market conditions.
About DoorDash DoorDash is a technology and logistics company focused on empowering local economies. We’re committed to supporting employees’ happiness, healthiness, and well-being by offering comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave, and more.
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 of people from all backgrounds, experiences, and perspectives. We value a diverse workforce and strongly encourage applications from women, non-binary and gender non-conforming individuals, LGBTQIA+, people of color, differently-abled individuals, caretakers and parents, and veterans.
Pursuant to applicable hiring regulations, we will consider qualified applicants, including those with arrest and conviction records. If you need accommodations, please inform your recruiting contact.
Seniority level
Mid-Senior level
Employment type
Part-time
Job function
Engineering and Information Technology
Industries
Software Development
#J-18808-Ljbffr