Whatnot

2 days ago

Data Engineer, CX

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Build and scale the data systems powering data-driven decisions across Whatnot. Own end-to-end data architecture for Customer Experience (CX) and Logistics, design canonical domain models, and enforce data contracts. Create resilient pipelines and implement data quality through tests, lineage, monitoring, and reconciliation. Automate operational workflows across services and warehouses, and enable low-latency data for analytics, ML, and real-time experimentation using modern data tooling.

Location: San Francisco, New York, Los Angeles, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own data architecture end-to-end by defining how data is captured, modeled, and served, including storage formats, compute patterns, and SLAs.
•Lead CX and Logistics data domains as a data owner for key metrics and concepts like refunds, customer satisfaction/sentiment, shipping, and margin.
•Design and implement canonical, domain-oriented data models as sources of truth for analytics, ML, LLMs, and real-time applications with data contracts across teams.
•Enforce data quality at scale by building tests, lineage, monitoring, and reconciliation to make datasets observable and anomalies actionable.
•Automate operational workflows and enable insights by reconciling data across services, warehouses, and external systems, and exposing low-latency data via semantic layers, APIs, and real-time query systems.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPension

Key Requirements

•5+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
•Design and implement data models using dimensional, Data Vault, or ledger-style techniques for analytical and transactional workloads.
•Hands-on expertise with data tooling for 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.
•Comfort writing production-grade code in Python or SQL and integrating with CI/CD and infrastructure-as-code workflows.

Experience:5+ years

Skills:Action-orientedCuriosityOutcome focusCollaborationSelf-starter

Tech Stack:KafkaDebeziumDbtSparkFlinkDagsterAirflowMonte CarloGreat ExpectationsSnowflakeBigQueryRedshiftPythonSQLCI/CDInfrastructure-as-code

Company Brief

Whatnot

Whatnot is a live-stream shopping marketplace connecting sellers and collectors for trading cards, toys, and collectibles. The platform hosts live auctions and interactive streams, enabling creators and small businesses to sell directly to engaged communities.

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: United States

Founded: 2019

Website LinkedIn

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Whatnot

2 days ago

Data Engineer, CX

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: San Francisco, New York, Los Angeles, Seattle

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Own data architecture end-to-end by defining how data is captured, modeled, and served, including storage formats, compute patterns, and SLAs.
•Lead CX and Logistics data domains as a data owner for key metrics and concepts like refunds, customer satisfaction/sentiment, shipping, and margin.
•Design and implement canonical, domain-oriented data models as sources of truth for analytics, ML, LLMs, and real-time applications with data contracts across teams.
•Enforce data quality at scale by building tests, lineage, monitoring, and reconciliation to make datasets observable and anomalies actionable.
•Automate operational workflows and enable insights by reconciling data across services, warehouses, and external systems, and exposing low-latency data via semantic layers, APIs, and real-time query systems.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kPension

Key Requirements

•5+ years of experience as a data or software engineer building data warehouses, distributed data systems, or event-driven architectures.
•Design and implement data models using dimensional, Data Vault, or ledger-style techniques for analytical and transactional workloads.
•Hands-on expertise with data tooling for 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.
•Comfort writing production-grade code in Python or SQL and integrating with CI/CD and infrastructure-as-code workflows.

Experience:5+ years

Skills:Action-orientedCuriosityOutcome focusCollaborationSelf-starter

Tech Stack:KafkaDebeziumDbtSparkFlinkDagsterAirflowMonte CarloGreat ExpectationsSnowflakeBigQueryRedshiftPythonSQLCI/CDInfrastructure-as-code

Company Brief

Whatnot

Industry: Online Marketplaces

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: United States

Founded: 2019

Website LinkedIn