Data Analytics Engineer

We are seeking a highly collaborative and detail-oriented Data Analytics Engineer to own and scale our customer data infrastructure and event instrumentation ecosystem. The role involves partnering with Product, Marketing, Engineering, and Data teams to ensure reliable, high-quality event tracking and customer data flows across all platforms.

Requirements

• Partner with Product Managers, Marketers, and Engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across web, mobile, and backend systems
• Serve as the technical owner for Segment event pipelines, proactively monitoring schema drift, naming violations, delivery issues, and Protocols violations
• Develop and manage custom mappings, traits, and transformations in Segment, including Segment Functions, to support downstream destinations such as Braze, Amplitude, and Snowflake
• Enable Marketing teams to activate audiences and campaigns by ensuring accurate, timely, and reliable customer data delivery
• Collaborate with Data Platform Engineers to scale Airflow-based orchestration workflows and implement testing frameworks for event and customer data quality
• Conduct periodic audits, validation testing, and regression checks to ensure data completeness and integrity across environments
• Maintain documentation, event naming conventions, and instrumentation standards to improve data literacy and consistency across teams
• Support experimentation, attribution, and customer lifecycle initiatives through robust event tracking and monitoring practices

Benefits

• Remote work
• Full-time contract position