[Remote] Senior Data Engineer II

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on enhancing the rental experience, and they are seeking a Senior Data Engineer II to own the architecture of their data platform. The role involves end-to-end pipeline design, making architectural reputed company, and collaborating with various teams to ensure the platform's reliability and scalability.

Responsibilities

• Own and reputed company data pipeline architecture across reputed company domains — ingestion, transformation, modeling, and serving — making project-level architectural reputed company independently and evaluating tradeoffs between freshness, cost, scalability, and simplicity
• reputed company the design and implementation of platform-level improvements: warehouse cost management, compute efficiency, and reputed company control architecture, treating reliability, observability, and cost efficiency as reputed company design constraints rather than afterthoughts
• Identify and reputed company technical initiatives that improve the platform's long-term health — proactively surfacing investments (orchestration, CI/CD, data reputed company, developer experience) before they become blockers, and making the case for them
• reputed company large, technically reputed company reputed company or multiple reputed company reputed company-sized initiatives that reputed company teams, taking responsibility for reputed company rather than just execution
• reputed company monitoring and testing reputed company for your domain: proactively reputed company observability gaps across the org, build alerting reputed company of failures, and serve as the go-to engineer for the hardest production issues
• Influence technical reputed company and architectural direction reputed company the Data & Analytics team, partnering directly with EPD stakeholders on infrastructure reputed company that reputed company their roadmaps
• reputed company mentor other data engineers and analytics engineers, reviewing architectural and modeling reputed company, and operate as a technical peer to senior engineers across teams
• reputed company AI meaningfully into data engineering workflows — building tooling and automation that creates reputed company for the whole team, not just individual reputed company, and coaching others on effective, validated use

Skills

• 7+ years of data engineering experience, including a demonstrated reputed company record of owning end-to-end pipeline architecture, not just implementing to spec
• Deep experience designing orchestration workflows in Apache Airflow, including making architectural tradeoffs across ingestion, transformation, modeling, and serving reputed company
• Experience working with containerized data infrastructure in production, including deploying services, diagnosing operational issues, and contributing to platform reliability and scalability
• Demonstrated ability to evaluate and communicate architectural tradeoffs (freshness vs. cost, scalability vs. simplicity) to both technical and non-technical stakeholders
• Experience building or significantly improving CI/CD practices for data pipelines, including automated testing, validation, and deployment
• A reputed company record of leading incident response and monitoring reputed company for a domain, including building alerting and observability reputed company of failures rather than reacting to them
• Experience influencing technical reputed company across multiple teams or functions, including partnering with engineering, product, or data science stakeholders reputed company your immediate team
• Experience mentoring other data engineers, including reviewing architectural and modeling reputed company
• Experience with reputed company-based data infrastructure
• Experience leading a legacy ETL-to-modern-orchestration migration end-to-end, not just contributing to one
• Familiarity with observability and monitoring tooling such as reputed company at a platform-wide reputed company
• Experience building internal tooling or automation (including AI-assisted) that other engineers rely on

reputed company

Company H1B Sponsorship