Staff Data Engineer

Summary

Join Twilio as a Staff Data Engineer (L4) and play a key role in building and maintaining data infrastructure for our Customer Data Platform (CDP). You will contribute to the design and implementation of high-volume data pipelines, collaborate with engineers, and ensure the platform's robustness and scalability. This role involves handling high-throughput data ingestion, processing, and enrichment. It's ideal for someone with a strong data engineering background ready for broader responsibilities and impacting customer experience. You will build high-performance systems, solve data challenges, and make a measurable impact. Twilio offers a remote-first culture with competitive benefits.

Requirements

• 7+ years of industry experience in backend or data engineering roles
• Strong programming skills in Scala, Java, or a similar language
• Solid experience with Apache Spark or other distributed data processing frameworks
• Experience with Trino, Snowflake, Delta Lake and comfortable working with ecommerce-scale datasets
• Working knowledge of batch and stream processing architectures
• Experience designing, building, and maintaining ETL/ELT pipelines in production
• Familiarity with AWS and tools like Parquet, Delta Lake, or Kafka
• Comfortable operating in a CI/CD environment with infrastructure-as-code and observability tools
• Strong collaboration and communication skills

Responsibilities

• Build and maintain scalable data pipelines using Spark, Scala, and cloud-native services
• Improve the performance and reliability of our real-time and batch data processing systems
• Contribute to platform features that support key customer-facing products such as Identity resolution, audience segmentation and real-time personalization
• Work closely with Staff and Principal Engineers to execute on architectural decisions and implementation plans
• Collaborate across product and engineering teams to deliver high-impact, customer-facing capabilities
• Write clean, maintainable, and well-tested code that meets operational and compliance standards
• Participate in code reviews, technical discussions, and incident response efforts to improve system quality and resiliency

Preferred Qualifications

• Familiarity with GDPR, CCPA, or other data governance requirements
• Experience with high-scale event processing or identity resolution
• Exposure to multi-region, fault-tolerant distributed systems

Benefits

• Competitive salary
• Equity
• Generous time-off
• Healthcare
• Wellness leave
• Supportive remote-first culture