Data Engineer - Remote

About The Company

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe, revolutionizing the way people buy, sell, and discover their passions. Our platform enables users to trade and purchase a wide variety of items, including trading cards, fashion, electronics, and live plants, empowering sellers to build sustainable businesses across hundreds of categories. As a pioneering force in live commerce, we are crafting a new industry with no existing playbook, driven by innovation and a passion for connecting communities through commerce.

Our diverse, remote co-located team operates from hubs across the US, UK, Ireland, Poland, Germany, and Australia. We are committed to moving swiftly, staying close to our users, and focusing on impactful work that shapes the future of live shopping. Recognized as one of the fastest-growing marketplaces, Whatnot was recently named the #1 Best Startup Employer in America by Forbes. We foster a dynamic environment where creativity, collaboration, and technological advancement come together to enable anyone to turn their passion into a thriving business.

About The Role

As a Data Engineer at Whatnot, you will play a vital role in powering our data-driven decision-making processes. You will be responsible for building and scaling the systems that support analytics, machine learning, and real-time applications. Working closely with cross-functional teams—including product, customer experience, logistics, finance, and trust—you will design robust data architectures, develop resilient data pipelines, and create foundational data products that fuel our internal growth and enhance user experience.

Your day-to-day tasks will include owning end-to-end data architecture, defining how critical business data is captured, modeled, and served, and making strategic decisions regarding storage, compute patterns, and service level agreements. You will act as the data owner for key domains such as Customer Experience and Logistics, ensuring data quality, consistency, and reliability. Additionally, you will develop domain-oriented data models, enforce modeling standards, and establish data contracts across teams. Automating operational workflows, supporting analytics and experimentation, and enabling insights through semantic layers and APIs will be core to your responsibilities. Your work will directly impact the company's ability to innovate and deliver exceptional experiences to our users.

Qualifications

• 5+ years of experience as a data or software engineer, building 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
• Hands-on expertise with modern data tooling including Kafka, Debezium, dbt, Spark, Flink, Dagster, Airflow, Monte Carlo, and Great Expectations
• Experience operating cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning
• Strong coding skills in Python and SQL, with experience integrating with CI/CD pipelines and infrastructure-as-code workflows
• Ability to partner effectively across disciplines—engineering, product, operations, analytics—to translate complex business requirements into scalable data solutions
• Self-starter attitude with the ability to thrive in a fast-paced, dynamic environment, owning both technical design and operational outcomes
• Excellent communication skills and a collaborative mindset

Responsibilities

• Ownership of end-to-end data architecture, including data capture, modeling, and serving strategies
• Leading the Customer Experience and Logistics data domains, maintaining data foundations, and stewardship of key metrics such as refunds, customer sentiment, shipping, and margins
• Designing and implementing canonical data models that serve as the source of truth for analytics, machine learning, and real-time applications
• Enforcing data quality standards through tests, lineage tracking, monitoring, and reconciliation systems
• Automating operational workflows by collaborating with business systems and platform teams to eliminate manual data handoffs and reconcile data across multiple systems
• Supporting analytics, machine learning, and product teams by exposing high-quality, low-latency data via semantic layers, APIs, and real-time query systems
• Developing platforms and tools to facilitate experimentation and innovation within the organization

Benefits

• Competitive salary range of $180,000 to $260,000 per year, commensurate with experience and expertise
• Comprehensive health insurance options including Medical, Dental, and Vision coverage
• Flexible work arrangements with support for remote work and home office setup allowances
• Monthly allowances for cell phone, internet, and wellness expenses
• Annual childcare and family planning allowances, including adoption and fertility support
• Retirement plans including 401(k) with employer matching (up to 4%) in the US and pension plans internationally
• Paid parental leave of 16 weeks plus a gradual return to work
• Generous holiday and time-off policies
• Opportunities for professional growth and development in a rapidly evolving industry

Equal Opportunity

Whatnot is proud to be an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability, or any other protected characteristic. We believe that diverse perspectives and experiences enhance our work, culture, and innovation, and we encourage applicants from all backgrounds to join our team.