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Senior Staff Engineer
Data Platform
Confirmed live in the last 24 hours
Locations
San Francisco, CA, USA • Remote • New York, NY, USA • Portland, OR...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Amplitude
Apache Spark
AWS
Data Analysis
Docker
Kafka
Kotlin
Pytorch
Segment
Snowflake
Tensorflow
Kubernetes
Python
Go
Requirements
  • You have extensive experience building and operating scalable, fault-tolerant, distributed systems in the area of large scale data intensive applications
  • You have experience building data products and abstractions on top of infrastructure (such as Metrics Server, Realtime Job Processing applications, Self-serve platforms for forecasting, experimentation frameworks, deriving data-driven insights etc.)
  • You have experience with a range of data and machine learning technologies in the area of large scale data processing, complex/high volume ML models etc. The following areas are representative of the breadth of data technologies in which familiarity would be optimal (Experience with these specific technologies or similar alternatives is not required but helpful)
  • Backend service and tool development in Golang, Kotlin and/or Python
  • AWS
  • Kubernetes, Docker, Kops, Helm
  • Apache Kafka, Apache Flink, Apache Spark, Trino (Presto), Apache Airflow/Dagster, Apache Superset, AWS S3, Snowflake, Amplitude, CDP (e.g. Segment.com), MLLib, Pytorch, Tensorflow, Databricks MLFlow etc
Responsibilities
  • Build data intensive solutions that are used by DoorDash engineers, data scientists, analysts or business users from across the company. Drive and deliver the ongoing product vision of data products
  • Think in terms of building data products and not systems. You excel at driving the engineering vision, strategy, and execution for an organization consisting of multiple teams and sub teams
  • You are a technology leader. You excel at mentoring and guiding a fast growing organization in setting the right architectural patterns, handling build vs buy decisions, working with various vendors in the data solutions space, making judicious investments in the right areas anticipating what the company needs a few years down the road
  • You think of quick wins while planning for long term strategy and engineering excellence. You are excited about breaking down large systems into manageable, sustainable components that can be iterated on
  • You strive for continuous improvement of data architecture and development process
  • You are excited about cross collaboration with stakeholders, external partners and peer data leaders
  • You love rolling up your sleeves to get down to the lowest level of detail
DoorDash

5,001-10,000 employees

Local food delivery from restaurants
Company mission
DoorDash is working to empower local communities and in turn, creating new ways for people to earn, work, and thrive. The company operates the largest food delivery platform in the United States.
Benefits
  • Health & Wellness - Premium medical, dental, and vision insurance plans, including fertility coverage. Monthly gym and wellness reimbursement.
  • Compensation - Competitive salary with bi-annual performance reviews. Meaningful equity opportunities - with quarterly vesting.
  • Time When You Need It - Flexible vacation days for salaried employees. Generous vacation and sick days for hourly team members. Paid Parental Leave to support our DoorDash families.
  • Flexible Work Support - At-home office equipment and monthly WiFi support while working from home. Enjoy your favorite lunch on us while working in one of our offices.
Company Values
  • We are one team
  • Make room at the table. We’re committed to growing and empowering a more diverse and inclusive community. We believe that true innovation happens when everyone has the tools, resources and opportunity to thrive.
  • Think outside the room. We strive to be as inclusive as possible and consider those who may not be in the room when making decisions.
  • One team, one fight. We’re in this together, and both success and failure are shared. We are intentional about creating a high-accountability, no-blame culture.