Data Engineer, Payments

Whatnot; Seattle (WA); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Health Insurance

Work From Home Support

Home office setup allowance

Cell phone & Internet allowance

Wellness allowance

Parental Leave

Job summary

Whatnot is seeking a Data Engineer to build scalable data infrastructure powering decisions across the company. You will design data architectures, implement pipelines, and create foundational data products for internal growth.

You will collaborate with payments and finance, analytics, and product engineering, working with Kafka, Debezium, dbt, Spark, Dagster, Airflow, and cloud data warehouses. This role offers remote-friendly hybrid work from multiple US hubs.

Qualifications

• 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
• Experience modeling data using dimensional, Data Vault, or ledger-style techniques for analytical and transactional workloads.
• Hands-on expertise with data tooling across ingestion (Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
• Experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
• Proficient in Python and SQL, with CI/CD and infrastructure-as-code workflows.
• Ability to collaborate across engineering, product, analytics to translate business requirements into data systems.
• Self-starter in a fast-moving environment, owning both technical design and operational outcomes.

Responsibilities

• Own end-to-end data architecture; decide storage formats, compute patterns, and SLAs balancing cost and scalability.
• Build and operate streaming and batch data pipelines processing high-volume events across domains.
• Design canonical data models to serve analytics, ML, and real-time applications; enforce data contracts.
• Implement data quality systems with tests, lineage, and monitoring to ensure observable datasets.
• Automate workflows and reconcile data across services, warehouses, and external systems.
• Enable insights by exposing high-quality data through semantic layers, APIs, and real-time queries.

Skills

Data Warehousing

Distributed Data Systems

Event-driven Architecture

Data Modeling

Python

SQL

CI/CD

Cross-functional Collaboration

Tools

Kafka

Debezium

dbt

Spark

Flink

Dagster

Airflow

Snowflake

BigQuery

Redshift

Job description

Join the Future of Commerce with Whatnot!

Whatnot is the largest live 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.

Role

Data is crucial to Whatnot's mission to bring people together through commerce.

As our newest Data Engineer, you’ll build and scale the systems that power data-driven decisions across the company. You’ll work directly with stakeholders in payments and finance teams to design reliable data architectures, ship resilient pipelines, and create the foundational data products that power Whatnot's internal and external growth.

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 streaming and batch data workflows that process high-volume events across multiple domains user activity, transactions, experimentation, marketing performance, and operational telemetry 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 real-time 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, low-latency data through semantic layers, APIs, and real-time query systems.

You

People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.

• Have a minimum of 3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
• Can design and implement data models using dimensional, Data Vault, or ledger-style techniques that support analytical and transactional workloads.
• 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.
• Are comfortable writing production-grade code in Python or SQL languages, and integrating with CI/CD and infrastructure-as-code workflows.
• Enjoy partnering across disciplines engineering, product, analytics to translate messy business requirements into elegant data systems.
• Thrive as a self-starter in a fast-moving environment, owning both the technical design and the operational outcomes of your work.

If designing the data backbone that powers Whatnot's growth, insights, and product innovation excites you, we’d love to meet you.

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.

Compensation

For Full-Time (Salary)

US based applicants: $180,000/year to $260,000/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.

Benefits

• 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.

EOE

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.

Compensation Range: $180K - $260K