Data Analytics Engineer

🕒 May 8

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Ryz Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

Ryz Labs builds startups from the ground-up and helps other startups scale by providing top-tier technical talent solutions.

📋 Description

• Partner with product managers, marketers, and engineers to define, implement, and QA Segment tracking plans, ensuring consistent and reliable event data across all surfaces (web, mobile, backend) • Act as a technical owner for Segment event pipelines, monitoring schema drift, naming violations, destination delivery issues, and Protocols violations • Develop and manage custom mappings, traits, and transformations in Segment (including Segment Functions) to power downstream destinations like Braze, Amplitude, and Snowflake • Enable the marketing team to activate audiences and campaigns by ensuring accurate and timely data flows to destinations • Collaborate with data platform engineers to scale our Airflow-based orchestration and build testing frameworks for event and customer data quality • Conduct periodic audits, validation tests, and regressions to ensure data completeness and integrity across environments • Maintain documentation, event naming conventions, and cross-functional education efforts to drive better data literacy and consistency in instrumentation

🎯 Requirements

• 3+ years of experience as a Data or Analytics Engineer with a focus on event-based data systems and customer data platforms • Deep familiarity with CDPs (ideally Segment) including tracking plans, Protocols, Connections, Destinations, and Functions • Understanding of SQL, dbt, Snowflake • Experience writing event schemas and partnering with developers on instrumentation across web, mobile, and backend systems • Understanding of key marketing concepts like user identity, traits, conversion tracking, campaign attribution, and event triggers • A passion for data quality, validation, and monitoring practices, especially around marketing and experimentation data • Familiarity with tools like Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinations • Familiarity with Airflow, Python/pandas, Git, and general data workflow management • Excellent collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders