Remote Senior Data Engineer II
DescriptionOur client is an established consumer marketplace using machine learning and generative AI to help millions of renters find homes they love. Founded in 2009, the platform includes more than six million rental units and has raised approximately $169M. The company is entering an AI-first chapter while modernizing the revenue, Salesforce, and data foundations that support its marketplace.We are hiring a Senior Data Engineer II to own end-to-end data-pipeline architecture across a lean, high-impact platform team. This is an IC4 role for an engineer who remains hands-on with code and production operations while independently making architectural decisions, evaluating platform investments, and guiding other engineers. You will shape how analytics engineering, data science, and product engineering teams build on the platform.What you'll doOwn architecture across ingestion, transformation, modeling, and serving layersDesign platform improvements for warehouse cost, compute efficiency, access control, reliability, and observabilityLead large cross-functional projects and multiple concurrent technical initiatives from design through deliveryBuild monitoring, testing, and alerting that closes production visibility gaps before failures occurImprove orchestration, CI/CD, data access, and developer experience across the platformMentor data and analytics engineers and serve as a technical peer on architectural and modeling decisionsBuild practical AI-powered tooling and automation that creates leverage for the broader teamRequirements6 to 9 years of experience as a data engineer or data platform engineerStrong, hands-on SQL and Python skills that hold up in a live technical environmentProduction experience with containerized data infrastructure, including deployment and operational troubleshootingProduction experience with a pipeline orchestrator such as Airflow and a cloud data warehouse such as BigQueryA track record of owning pipeline architecture end to end and explaining tradeoffs to technical and non-technical stakeholdersExperience making sound decisions across freshness, cost, scalability, reliability, and simplicityUS work authorization without current or future visa sponsorshipBonus pointsExperience with Kubernetes, Datadog, CI/CD, or warehouse-cost optimizationExperience at both an established mid-sized technology company and a startup or smaller product organizationFamiliarity with Salesforce data integrations or major data-platform migrationsExperience coaching other engineers on safe, validated uses of AI in data workflowsBenefitsBase salary of $145K-$207KCompetitive equityStrong emphasis on sustainable pace and work-life balanceHigh ownership on a small data-platform team with meaningful greenfield workFully remote within the United StatesOpportunity to attend company on-sites up to four times per yearFull-time senior individual-contributor position