Senior Data Engineer

Summary

Join Twilio's Segment Data Platform Team as a Senior Data Engineer to build and scale the next generation of the company's data platform. You will work on high-throughput data ingestion, processing, and enrichment systems, serving as the backbone for the customer data platform (CDP). This role involves building scalable data pipelines using Spark, Scala, and cloud-native services, improving system performance and reliability, and contributing to platform features supporting key customer-facing products. Collaboration with other teams is crucial to deliver high-impact capabilities. The ideal candidate possesses strong programming skills, experience with distributed data processing frameworks, and a familiarity with AWS and related tools. The position is remote, with occasional travel required.

Requirements

• 5+ 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
• 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

• Experience with Trino, Flink, or Snowflake
• 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 pay
• Generous time off
• Ample parental and wellness leave
• Healthcare
• A retirement savings program