Data Engineer, Payments

Whatnot
San Francisco, New York, Los Angeles, Seattle
Workplace: RemoteFull timeUSD 180,000 - 260,000 annuallyFunction: Software EngineeringExperience: 3+ yearsSkills: ["Self-starter","Bias toward action","Stakeholder partnership","Outcomes focus"]

Build and scale the data systems that power data-driven decisions across payments and finance. Own end-to-end data architecture, designing storage and SLAs, and develop streaming and batch pipelines for high-volume events. Create canonical domain data models, enforce data quality with monitoring and reconciliation, and automate operational workflows. Enable low-latency insights for analytics, ML, and product teams through APIs and semantic layers.

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Whatnot
Whatnot
1 month ago

Data Engineer, Payments

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Last checked: 5 hours agoStatus: Live

Job Summary

Build and scale the data systems that power data-driven decisions across payments and finance. Own end-to-end data architecture, designing storage and SLAs, and develop streaming and batch pipelines for high-volume events. Create canonical domain data models, enforce data quality with monitoring and reconciliation, and automate operational workflows. Enable low-latency insights for analytics, ML, and product teams through APIs and semantic layers.
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: capture, model, and serve business data in production with sound storage, compute, and SLA decisions.
  • •Build and operate streaming and batch pipelines for high-volume events across domains with tight guarantees for latency, completeness, and accuracy.
  • •Design canonical, domain-oriented data models as a source of truth for analytics, ML, and real-time applications, including standards and data contracts.
  • •Enforce data quality at scale with tests, lineage, monitoring, and reconciliation so anomalies are actionable.
  • •Automate operational workflows and enable insights by exposing low-latency data via semantic layers, APIs, and real-time query systems.

Pay and Benefits

Salary: USD 180,000 - 260,000 annually
Perks:Health InsuranceDentalVisionRemote WorkHome Office401kPensionPaid ParentalChildcareWellness StipendCell PhoneInternet

Key Requirements

  • •Minimum 3+ years 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 modern data tooling across 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:3+ yearsPayments
Skills:Self-starterBias toward actionStakeholder partnershipOutcomes focus
Tech Stack:KafkaDebeziumDbtSparkFlinkDagsterAirflowMonte CarloGreat ExpectationsSnowflakeBigQueryRedshiftPythonSQLCI/CDInfrastructure-as-codeSemantic layersAPIs

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