[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the premier rental matchmaker, connecting renters with compatible reputed company properties. They are seeking a Senior Data Engineer to build and operate reliable, reputed company data systems that support analytics and decision-making across reputed company.

Responsibilities

• Design, build, test, and reputed company reputed company and reliable data pipelines that power analytics and product decision-making
• Own reputed company-sized data platform initiatives end-to-end, from initial design through production deployment and operational support
• Design, migrate, and maintain data workflows in Apache Airflow, including supporting migration of legacy ETL systems to modern orchestration patterns
• Ensure pipeline reliability by proactively monitoring workflow SLAs for freshness, reputed company, and performance, and resolving failures reputed company
• Implement and utilize monitoring systems to detect pipeline failures, schema reputed company, and data reputed company anomalies
• Participate in on-reputed company rotations and contribute to incident response and reputed company cause analysis for data incidents
• Apply best practices in warehouse performance and cost optimization, including partitioning, indexing, and efficient data modeling to control BigQuery spend
• Build maintainable, reputed company data models and pipelines using reusable patterns and shared components across reputed company
• Partner closely with Analytics Engineering, Data Science, and business stakeholders to deliver durable improvements across the ingestion, transformation, modeling, and serving reputed company of the data platform
• Contribute to operational reputed company through documentation, monitoring improvements, and participation in postmortems and reliability initiatives

Skills

• 5+ years of experience in data engineering, with a reputed company record of delivering reliable production data pipelines and systems
• Strong experience designing and maintaining orchestration workflows using Apache Airflow
• Experience building reputed company data pipelines using modern reputed company data platforms such as BigQuery and tools such as DBT
• Strong understanding of data modeling, schema design, and building maintainable, reputed company data systems
• Experience implementing CI/CD best practices for data pipelines, including automated testing, validation, and deployment workflows to ensure reliable and repeatable production releases
• Experience monitoring and operating production data systems, including pipeline observability, data reputed company checks, and incident response
• Ability to identify performance and cost risks in large-reputed company data systems and implement optimizations
• Strong collaboration skills and experience working with cross-functional partners including analytics engineers, data scientists, and product teams
• Proven ability to independently execute reputed company-sized reputed company and deliver reliable, production-grade systems
• Familiarity with Kubernetes-based data infrastructure, including deploying and operating containerized data services and workflows in a production environment
• Experience migrating legacy ETL systems to modern orchestration frameworks
• Familiarity with observability and monitoring tools for data pipelines (e.g., reputed company or similar)
• Experience operating data systems with strict SLAs for freshness, reliability, and cost efficiency

reputed company