Data Engineer Notifications

Whatnot is the largest livestream shopping platform in North America and Europe to buy sell and discover the things you love. Whether it's trading cards fashion electronics or live plants our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West and there's no playbook to copy. The people here are shaping how an entirely new industry develops.

As a remote co-located team we're inspired by our values and anchored in hubs across the US UK Ireland Poland Germany and Australia. We move fast stay close to our users and focus on the work that drives the most impact.

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.

At Whatnot data engineers build foundational data systems that power product development experimentation machine learning and operational decision-making across the company. As an Data Engineer on the Notifications Platform you will play a critical role in owning and evolving one of the highest-volume and highest-impact data domains at Whatnot.

Notifications generate hundreds of millions of events per day and the underlying data systems support everything from ML iteration and experimentation to adhoc engineering debugging. In this role you will define the technical direction for the Notifications data mart harden it to production-grade reliability and set new patterns for domain-owned data engineering.

Working in a highly cross-functional role you will collaborate closely with Product Engineers Data Scientists ML Engineers and the Analytics Platform team. You’ll make key architectural decisions around data modeling reliability latency and cost — and then make them real.

On any given day you will:

• Own data architecture end-to-end. Define how we capture model and serve critical business data—then implement it in production. You’ll make architectural decisions around storage formats compute patterns and SLAs that balance cost scalability and consistency.

• Build mission-critical pipelines. Develop and operate batch data workflows that process high-volume events related to notifications with tight guarantees for latency completeness and accuracy.

• Design and implement canonical models. Create domain-oriented data models that serve as the source of truth for analytics ML and production applications. Establish and enforce modeling standards ownership boundaries and data contracts across teams.

• Enforce data quality at scale. Build tests lineage monitoring and reconciliation systems that make every dataset observable and every anomaly actionable.

• Automate operational workflows. Partner with business systems and platform teams to eliminate manual data handoffs and reconcile data across services warehouses and external systems.

• Enable insights and experimentation. Support analytics ML and product engineering teams by exposing high-quality self-healing maintainable data assets.

We offer flexibility to work from home or from one of our global office hubs and we value in-person time for planning problem-solving and connection. Team members in this role must live within commuting distance of our New York Seattle Los Angeles and San Francisco hubs.

Curious about who thrives at Whatnot? We’ve found that embodying a low ego growth mindset and high-impact drive goes a long way here.

As our next Data Engineer you bring deep experience designing reliable scalable data systems and are excited to take true ownership of a complex product domain.

You should have 5+ years of experience in the data or software engineering domain plus:

• Strong experience building and maintaining production-grade data pipelines with clear SLAs monitoring and alerting

• Deep expertise in SQL including complex model graphs dependency management and performance optimization

• Are comfortable writing production-grade code in Python or SQL languages and integrating with CI/CD and infrastructure-as-code workflows.

• Have deep hands-on expertise with modern data tooling across ingestion (e.g. Kafka Debezium) transformation (dbt Spark Flink) orchestration (Dagster Airflow) and observability (Monte Carlo Great Expectations).

• Have operated cloud data warehouses such as Snowflake BigQuery or Redshift including schema design cost optimization and workload tuning.

• Proven track record working with large-scale datasets (hundreds of millions of rows per day)

• Experience designing data models that balance analytics ML and operational debugging use cases

• Strong systems thinking — you consider correctness latency cost and maintainability together

• Self-starter ethic thriving under a high level of autonomy

• Exceptional interpersonal and communication skills in cross-functional environments
  

💰Compensation For Full-Time (Salary)
US based applicants: $195000/year to $230000/year + benefits + equity.

The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including level relevant prior experience skills and expertise. This range is only inclusive of base salary not benefits (more details below) 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.

Whatnot is proud to be an Equal Opportunity Employer. We value diversity and we do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status parental status disability status or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage support and respect the different skills and experiences represented within our workforce.

What We Do

We bring people together around the things they love and turn their passions into their livelihood.

Why Work With Us

Passion is the centerpiece of our culture. We’ve got passionate buyers sellers and employees. We want you to bring your passions to Whatnot.

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