Software Engineer, Data Foundations
Role details
Job location
Tech stack
Job description
The Data Platform team at Whatnot builds services that improve our core product experience and unlock meaningful business value. In this role, you will:
- Define technical direction and lead development of critical data platform systems that power next-generation capabilities at Whatnot
- Lead the buildout and evolution of our data orchestration and streaming platforms, helping drive them from early platform investment to production-ready usage across the company
- Design scalable, reliable, multi-tenant data infrastructure rather than simply building pipelines on top of an existing platform
- Own core platform concerns including scalability, performance, reliability, SLOs, and operational excellence for data processing systems
- Build high-quality systems that support real-time analytics, event-driven applications, and machine learning infrastructure needs across Whatnot
- Make key decisions about how data systems should be integrated across Whatnot, and then partner cross-functionally to bring that architecture to life
- Collaborate closely with engineering partners across product, platform, machine learning, and data to enable fast, safe, and scalable development
- Help shape broader company architecture across orchestration, stream processing, real-time systems, analytics, and content understanding
- Apply DevOps/SRE practices, including CI/CD, infrastructure automation, monitoring, and incident response, to keep platform systems reliable at scale
- Help define and enforce data governance and compliance standards across our data lake and downstream systems
Requirements
As our next Software Engineer, Data Platform, you should have 8+ years of experience, plus:
- Ability to write well-tested, API-driven applications and services that run at scale in production
- Track record of building scalable, high-performance distributed systems
- Strong experience with streaming data systems (e.g., Kafka, Flink, or Pulsar) and/or orchestration platforms (e.g., Airflow, Dagster, or Temporal), with particular strength in building or evolving the platform layer itself, not just downstream pipelines.
- Hands-on experience designing and operating stateful, real-time data pipelines at scale, including concepts like checkpointing, state management, and watermarking
- Experience evaluating architectural tradeoffs in data processing and orchestration systems, including when a given tool is the right solution and when it is not
- Experience building multi-tenant or end-to-end data infrastructure that supports multiple teams or production use cases
- Expertise in managing cloud data stores (Snowflake, BigQuery, Redshift, etc.) and data lake architectures (e.g., AWS S3) for processing and serving data products
- Strong experience supporting operational systems to ensure uptime, reliability, and maintainability, including monitoring, alerting, and incident management
- Familiarity with DevOps/SRE practices and CI/CD tooling, including GitHub and GitHub Actions
- Understanding of data governance and compliance principles (e.g., data access controls, retention policies, auditability)
In addition to these role-specific qualifications, all engineering team members are expected to have:
- Experience managing cloud technologies (AWS or Google Cloud) and comfort with infrastructure-as-code approaches (for example, Terraform)
- Proficiency in at least one server-side programming language (preferably Python), common algorithms and data structures, and software design principles
- Self-starter ethic, with the ability to thrive under a high level of autonomy
- Exceptional interpersonal and communication skills
Benefits & conditions
Pulled from the full job description
- Paid parental leave
- Parental leave
- Health insurance
- Vision insurance
- Dental insurance
- Adoption assistance
- Cell phone reimbursement, * $200K - $275K
The salary or hourly rate range may be inclusive of several levels that would be applicable to the position. Final salary or hourly rate will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary or hourly rate, not benefits or equity., * Generous Holiday and Time off Policy
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support
- Home office setup allowance
- Monthly allowance for cell phone and internet
- Care benefits
- Monthly allowance for wellness
- Annual allowance towards Childcare
- Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
- Monthly allowance to dogfood the app
- All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- Parental Leave
- 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.