Data Engineer, Payments

About the Company

Whatnot is the largest live shopping platform in North America and Europe, revolutionizing the way people buy, sell, and discover their favorite items. Our platform enables users to trade cards, fashion, electronics, live plants, and more, fostering the growth of small businesses across diverse categories. As a rapidly expanding marketplace, Whatnot is pioneering live commerce at an unprecedented scale in the Western market, shaping an entirely new industry with no existing playbook. Our team operates remotely with co-located hubs across the US, UK, Ireland, Poland, Germany, and Australia. We are driven by our core values, moving swiftly to stay close to our users and focusing on impactful work. Recognized as the #1 Best Startup Employer in America by Forbes, we are committed to enabling anyone to turn their passion into a thriving business and to bringing people together through innovative commerce solutions.

About the Role

Data is fundamental to Whatnot’s mission of connecting people through commerce. As our newest Data Engineer, you will be instrumental in building and scaling the systems that facilitate data-driven decision-making across the organization. Your role involves collaborating directly with stakeholders in payments and finance teams to design reliable data architectures, develop resilient pipelines, and create essential data products that support both internal growth and external user engagement. On a day-to-day basis, you will own end-to-end data architecture, define how critical business data is captured, modeled, and served, and implement these solutions in production environments. You will develop high-volume data pipelines, design canonical data models, enforce data quality standards, automate operational workflows, and support analytics and machine learning initiatives. Your work will directly impact the company’s ability to analyze, optimize, and innovate using high-quality, real-time data.

Ideal candidates are proactive, curious, and outcome-oriented, with a passion for building scalable data systems that empower business growth. They thrive in fast-paced environments, are comfortable navigating ambiguity, and excel at translating complex business needs into elegant technical solutions.

Qualifications

• Minimum of 3+ years of experience as a data or software engineer working on data warehouses, distributed data systems, or event-driven architectures.
• Proficiency in designing and implementing data models using techniques such as dimensional modeling, Data Vault, or ledger-style approaches.
• Deep hands-on experience with modern data tooling, including Kafka, Debezium, dbt, Spark, Flink, Dagster, Airflow, Monte Carlo, and Great Expectations.
• Experience managing cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, workload tuning, and cost optimization.
• Strong coding skills in Python and SQL, with the ability to integrate with CI/CD pipelines and infrastructure-as-code workflows.
• Ability to collaborate effectively across disciplines, translating complex requirements into scalable data solutions.
• Self-starter mentality with the ability to own both technical design and operational outcomes in a fast-moving environment.

Responsibilities

• Own and define end-to-end data architecture, including data capture, modeling, and serving strategies that balance cost, scalability, and data consistency.
• Develop, operate, and optimize streaming and batch data pipelines processing high-volume events across multiple domains such as user activity, transactions, marketing, and telemetry.
• Design and implement canonical data models that serve as authoritative sources for analytics, machine learning, and real-time applications.
• Build systems for data quality monitoring, lineage, testing, and reconciliation to ensure datasets are observable and anomalies are actionable.
• Automate operational workflows to eliminate manual data handoffs and reconcile data across services, warehouses, and external systems.
• Partner with analytics, product, and engineering teams to expose high-quality, low-latency data through semantic layers, APIs, and real-time query systems.
• Maintain a focus on performance, reliability, and scalability to support company growth and product innovation.

Benefits

• Generous holiday and time-off policies to promote work-life balance.
• Health insurance options including Medical, Dental, and Vision coverage.
• Support for remote work with home office setup allowances and monthly stipends for cell phone and internet expenses.
• Monthly wellness allowances and annual childcare support to promote employee well-being.
• Lifetime benefits for family planning, such as adoption or fertility expenses.
• Retirement plans including 401(k) with employer matching in the US and pension schemes internationally.
• Opportunity to participate in product testing through a monthly allowance to dogfood the app.
• Paid parental leave of 16 weeks plus a gradual return to work period, supporting new parents.