Data Engineer II- Remote
# SENIOR DATA ENGINEER II ## About the Role Our client is an established consumer marketplace using machine learning and generative AI to help millions of renters find homes. 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 its revenue, Salesforce, and data foundations. We are hiring a Senior Data Engineer II (IC4) to own end-to-end data-pipeline architecture across a lean, high-impact data platform team. This is a hands-on senior individual-contributor role focused on coding, production operations, architectural decision-making, platform investments, and technical guidance for other engineers. ## Key Responsibilities Own architecture across data ingestion, transformation, modeling, and serving layers. Design and implement platform improvements focused on warehouse cost, compute efficiency, access control, reliability, and observability. Lead large cross-functional projects and multiple concurrent technical initiatives from design through delivery. Build monitoring, testing, and alerting systems to identify production visibility gaps before failures occur. Improve orchestration, CI/CD, data access, and developer experience across the data platform. Mentor data and analytics engineers. Serve as a technical peer on architectural and data modeling decisions. Build practical AI-powered tooling and automation to create leverage for the broader team. Make architectural decisions and communicate technical tradeoffs to technical and non-technical stakeholders. Balance freshness, cost, scalability, reliability, and simplicity when making platform decisions. ## Required Qualifications 6–9 years of experience as a Data Engineer or Data Platform Engineer. Strong, hands-on SQL and Python skills. Production experience with containerized data infrastructure, including deployment and operational troubleshooting. Production experience with a pipeline orchestrator such as Airflow. Production experience with a cloud data warehouse such as BigQuery. Experience owning data-pipeline architecture end to end. Demonstrated ability to explain technical tradeoffs to both technical and non-technical stakeholders. Experience making engineering decisions across data freshness, cost, scalability, reliability, and simplicity. U.S. work authorization without current or future visa sponsorship. ## Preferred Qualifications Experience with Kubernetes, Datadog, CI/CD, or warehouse-cost optimization. Experience working at both an established mid-sized technology company and a startup or smaller product organization. Familiarity with Salesforce data integrations or major data-platform migrations. Experience coaching other engineers on safe, validated uses of AI in data workflows. ## Skills & Competencies Data engineering Data platform engineering Data pipeline architecture SQL Python Airflow BigQuery Containerized infrastructure Data ingestion and transformation Data modeling Data serving CI/CD Monitoring and alerting Observability Data reliability Cloud data platforms Data access and security Warehouse-cost optimization Technical architecture Cross-functional project leadership Technical mentoring AI-powered tooling and automation Production troubleshooting ## Education & Experience Education No specific educational requirement is stated in the source job description. Experience 6–9 years as a Data Engineer or Data Platform Engineer. Production experience with containerized data infrastructure. Production experience with Airflow or a comparable pipeline orchestrator. Production experience with BigQuery or a comparable cloud data warehouse. Experience owning pipeline architecture end to end. ## Work Arrangement & Schedule Employment Type: Full-time Job Level: Senior Individual Contributor / IC4 Work Arrangement: Fully remote Location: United States Travel: Opportunity to attend company on-sites up to four times per year. Visa Sponsorship: Not available; candidates must have U.S. work authorization without current or future visa sponsorship. ## Compensation & Benefits Base Salary: $145,000–$207,000 Competitive equity. Strong emphasis on sustainable pace and work-life balance. High ownership within a small data-platform team. Meaningful greenfield work. Fully remote work within the United States.
- Opportunity to attend company on-sites up to four times per year.
## Compliance / Additional Information This is a hands-on senior individual-contributor position within a lean data-platform team. The role combines data engineering, platform architecture, production operations, technical leadership, and practical AI-powered tooling.