Staff Software Engineer, Data

Whatnot
San Francisco, New York, Los Angeles, Seattle
Workplace: RemoteFull timeUSD 180,000 - 260,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Self-starter","Curiosity","Bias toward action","Outcome-focused","Cross-functional partnering"]

Build and scale the data systems that power data-driven decisions across the company. Own end-to-end data architecture, design canonical domain models, and ship resilient streaming and batch pipelines with strong latency, completeness, and accuracy guarantees. Enforce data quality using tests, lineage, monitoring, and reconciliation. Partner with product, analytics, ML, and platform teams to automate workflows and expose low-latency data via semantic layers, APIs, and real-time query systems.

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FursaFursa
Whatnot
Whatnot
11 months ago

Staff Software Engineer, Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and scale the data systems that power data-driven decisions across the company. Own end-to-end data architecture, design canonical domain models, and ship resilient streaming and batch pipelines with strong latency, completeness, and accuracy guarantees. Enforce data quality using tests, lineage, monitoring, and reconciliation. Partner with product, analytics, ML, and platform teams to automate workflows and expose low-latency data via semantic layers, APIs, and real-time query systems.
Location: San Francisco, New York, Los Angeles, Seattle
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Own data architecture end-to-end, including capture, modeling, and serving critical business data, with decisions on storage formats, compute patterns, and SLAs.
  • •Build and operate streaming and batch pipelines processing high-volume events across user activity, transactions, experimentation, marketing performance, and telemetry.
  • •Create and enforce canonical domain data models and data contracts across teams to define the source of truth.
  • •Ensure data quality at scale using tests, lineage, monitoring, and reconciliation so anomalies are actionable.
  • •Automate operational workflows and enable insights and experimentation by 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 InsuranceDentalVisionHome Office401kPensionParental LeaveChildcareWellness Stipend

Key Requirements

  • •Have 3+ 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.
  • •Have hands-on expertise with ingestion (Kafka, Debezium), transformation (dbt, Spark, Flink), orchestration (Dagster, Airflow), and observability (Monte Carlo, Great Expectations).
  • •Operate cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, cost optimization, and workload tuning.
  • •Write production-grade code in Python or SQL and integrate with CI/CD and infrastructure-as-code workflows.
Experience:Data engineeringStreaming data
Skills:Self-starterCuriosityBias toward actionOutcome-focusedCross-functional partnering
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
WebsiteLinkedIn