Senior Software Engineer, Data Infrastructure

Docker·Seattle, WARemotesenior

In short

→Construyes y diriges infraestructura de datos escalable en Docker, usando Snowflake, Airflow y DBT.
→Diariamente diseñas pipelines, optimizas datos en la nube y colaboras con equipos de producto, ventas y seguridad.
→Destacado: lideras la arquitectura de datos para un ecosistema con 20M+ usuarios y 20B+ imágenes descargadas.

Fluent English required for technical collaboration and documentation.

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What they ask for

✓Experiencia sólida en arquitectura de plataformas de datos
✓Conocimiento avanzado de Snowflake, Airflow y DBT
✓Capacidad para diseñar pipelines de datos a gran escala
✓Experiencia en optimización de costos y rendimiento en la nube
✓Habilidades en colaboración con equipos cruzados (ventas, marketing, seguridad)
✓Capacidad de mentoría técnica y revisión de diseño

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SnowflakeAWSApache AirflowDBTSigmaDocker DesktopDocker HubDocker ScoutCI/CDGit

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ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ Docker is seeking a Senior Software Engineer to join our Data Infrastructure team and help build scalable data systems. You will design and launch infrastructure that enables analytics and data-driven decision-making across Product, Engineering, Sales, Marketing, Finance, and Executive teams. This role combines individual technical contributions with system ownership and mentorship. You will design robust data pipelines, establish technical standards and best practices, and partner with cross-functional teams to deliver impactful data solutions. Success requires strong data platform experience, solid system design skills, and the ability to guide technical direction while supporting team growth. You will play a key role in scaling Docker's data capabilities across our product portfolio. RESPONSIBILITIES Technical Strategy & Architecture Leadership - Architect and implement key components of Docker's data platform, driving technical direction for the team - Design and build scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma - Build end-to-end data pipelines supporting real-time and batch analytics across the product ecosystem - Evaluate and select data platform technologies, architectural patterns, and engineering best practices - Apply and help improve technical standards for data quality, testing, monitoring, and operational excellence Hands-On Engineering & System Development - Build high-throughput data systems supporting high-volume user interactions - Develop data transformations and models using DBT for analytics and business intelligence - Develop and maintain data orchestration workflows using Apache Airflow - Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability - Build data APIs and services enabling self-service analytics and downstream integrations Cross-Functional Collaboration & Requirements Engineering - Translate business and product analytics requirements into technical solutions - Collaborate with Data Scientists and Analysts to enable advanced analytics, ML, and BI capabilities - Work with Finance, Sales, and Marketing teams to deliver accurate reporting and operational dashboards - Support customer-facing analytics initiatives and embedded reporting capabilities - Partner with Security and Compliance to ensure data governance and regulatory compliance Technical Operations & Reliability - Ensure system reliability, monitoring, alerting, and incident response for owned components - Implement data quality checks and automated testing for data pipelines and transformations - Optimize performance and manage infrastructure costs across the data platform - Establish disaster recovery and business continuity procedures for critical data systems - Lead troubleshooting and resolution of complex technical issues affecting data availability and accuracy Mentorship & Technical Leadership - Mentor engineers on system design, technical execution, and data engineering best practices - Conduct technical design reviews and provide actionable feedback on software architecture - Contribute to knowledge sharing through documen

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