Data Engineer
Whatnot
- New York, New York, United States
- New York, New York, United States
Über
Own data architecture end-to-end.
Define how we capture, model, and serve critical business data – then implement it in production. 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.
Qualifications
3+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event‑driven architectures.
Ability to design and implement data models using dimensional, Data Vault, or ledger‑style techniques that support analytical and transactional workloads.
Deep hands‑on expertise with modern data tooling across ingestion (Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
Experience operating cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
Comfortable writing production‑grade code in Python or SQL, 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.
Self‑starter in a fast‑moving environment, owning both the technical design and operational outcomes of your work.
Compensation $180,000 to $260,000 per year for full‑time US‑based applicants, plus benefits and equity.
Benefits
Generous holiday and time‑off policy.
Health insurance options including medical, dental, vision.
Work‑from‑home support with home‑office setup allowance and monthly allowance for cellphone and internet.
Wellness allowance, annual allowance toward childcare, and lifetime benefits for family planning, such as adoption or fertility expenses.
Retirement 401(k) offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and pension plans internationally.
Dog‑fooding budget to allow employees to use the product as both buyer and seller.
Parental leave: 16 weeks of paid parental leave plus 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 culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
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Sprachkenntnisse
- English
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