Data Engineer - Remote

About The Company

Join the Future of Commerce with Whatnot! Whatnot is the largest livestream shopping platform in North America and Europe, revolutionizing the way people buy, sell, and discover their favorite items. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building authentic businesses across hundreds of categories. We are pioneering live commerce at an unprecedented scale in the West, shaping an entirely new industry with no existing playbook. Our innovative approach and rapid growth have positioned us as a leader in the marketplace industry. Recognized as the #1 Best Startup Employer in America by Forbes, Whatnot is committed to fostering a dynamic, inclusive, and impactful work environment. Our team operates remotely and is co-located across hubs in the US, UK, Ireland, Poland, Germany, and Australia, enabling us to stay close to our users and move swiftly to deliver value. We are passionate about empowering individuals to turn their passions into thriving businesses and bringing communities together through commerce.

About The Role

We are seeking a talented and experienced Data Engineer to join our team, specifically focusing on the Notifications Platform. In this role, you will be instrumental in building and maintaining foundational data systems that support product development, experimentation, machine learning, and operational decision-making. Notifications generate hundreds of millions of events daily, serving as a critical data domain within Whatnot. Your responsibilities will include defining the technical direction for the Notifications data mart, ensuring its production-grade reliability, and establishing new data engineering patterns that can be adopted across the organization. You will work closely with cross-functional teams including Product Engineers, Data Scientists, ML Engineers, and the Analytics Platform team to make key architectural decisions related to data modeling, reliability, latency, and cost-efficiency. Your work will directly impact how data is captured, modeled, and utilized across the company, enabling insightful analytics, robust experimentation, and efficient machine learning workflows.

Qualifications

• 5+ years of experience in data or software engineering
• Proven expertise in designing and maintaining reliable, scalable production-grade data pipelines
• Deep proficiency in SQL, including complex modeling, dependency management, and performance tuning
• Experience writing production-quality code in Python or SQL, with familiarity in CI/CD and infrastructure-as-code workflows
• Hands-on experience with modern data tooling such as Kafka, Debezium, dbt, Spark, Flink, Dagster, Airflow, Monte Carlo, Great Expectations
• Experience operating cloud data warehouses like Snowflake, BigQuery, or Redshift, including schema design and workload optimization
• Track record working with large-scale datasets (hundreds of millions of rows per day)
• Ability to design data models that support analytics, machine learning, and operational debugging
• Strong systems thinking, considering correctness, latency, cost, and maintainability
• Self-starter with high autonomy and proactive problem-solving skills
• Excellent interpersonal and communication skills in cross-functional environments

Responsibilities

• Own end-to-end data architecture, including data capture, modeling, and serving strategies
• Develop and operate high-volume batch data workflows with strict guarantees on latency, completeness, and accuracy
• Design and implement canonical, domain-oriented data models serving as authoritative sources for analytics, ML, and production systems
• Build and maintain data quality systems, including tests, lineage, monitoring, and anomaly detection
• Automate operational workflows to eliminate manual data handoffs and ensure data reconciliation across systems
• Support analytics, ML, and product teams by providing high-quality, maintainable, and self-healing data assets
• Collaborate with cross-functional teams to make architectural decisions that optimize for cost, reliability, and performance
• Establish data modeling standards, ownership boundaries, and data contracts across teams

Benefits

• Generous holiday and time-off policies to promote work-life balance
• Comprehensive 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
• Monthly wellness allowances and annual childcare support
• Lifetime benefits for family planning, including adoption and fertility expenses
• Retirement plans such as 401(k) with employer matching in the US and pension plans internationally
• Monthly app testing allowances to encourage product engagement and understanding
• Paid parental leave of 16 weeks, with a gradual return to work

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 legally protected status. We believe that embracing diverse skills, perspectives, and experiences enhances our work culture and drives innovation. All qualified applicants are encouraged to apply, and we are dedicated to providing equal employment opportunities to everyone.