Remote Data Engineer

Summary

Join the team as Twilio’s next Staff Data Engineer, Messaging Data Platform team. This position is needed to build and maintain highly scalable, reliable, and efficient data pipelines that will empower both inbound and outbound messaging stacks, not to mention other internal engineering solutions, with its data insights interfaces for real-time decision-making.

Requirements

• 3+ years of Java development experience
• 5+ years of experience with Big Data processing tools and frameworks such as Apache Spark, SparkSQL
• Experience with Lakehouse technologies, such as Apache Hudi, Apache Iceberg, Databricks Delta Lake
• Experience in building AI/ML pipelines
• Deep technical understanding of ETL tools, low-latency data stores, multiple data warehouses and data catalogs
• Familiarity with data testing and verification tooling and best practices
• Experience with cloud services (AWS preferred, Google, Azure etc.)
• Proficient in working with Key-Value, Streaming, and Search Database technologies, including AWS DynamoDB, Apache Kafka, and ElasticSearch
• Readiness to participate in the on-call rotation

Responsibilities

• Oversee the design, construction, testing, and maintenance of advanced, scalable data architectures and pipelines
• Drive the development of innovative data solutions that meet complex business requirements
• Create and enforce best practices for data architecture, ensuring scalability, reliability, and performance
• Provide architectural guidance and mentorship to junior engineers
• Tackle the most challenging technical issues and provide advanced troubleshooting support
• Collaborate with senior leadership to align data engineering strategies with organizational goals
• Participate in long-term planning for data infrastructure and analytics initiatives
• Lead cross-functional projects, ensuring timely delivery and alignment with business objectives
• Coordinate with product managers, analysts, and other stakeholders to define project requirements and scope
• Continuously monitor and enhance the performance of data systems and pipelines

Preferred Qualifications

• Demonstrated technical breadth and depth as evidenced by papers, code, and/or presentations
• Exposure to service-oriented architectures, microservices and REST APIs
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
• Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience

Benefits

• Generous time-off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program