Data Analytics Engineer at RYZ Labs · Buenos…

Remote position, only for professionals in Latam. We are seeking a highly collaborative and detail-oriented Data Analytics Engineer to own and scale our customer data infrastructure and event instrumentation ecosystem. In this role, you will partner closely with Product, Marketing, Engineering, and Data teams to ensure reliable, high-quality event tracking and customer data flows across all platforms. You will play a key role in maintaining and optimizing our Segment implementation, supporting downstream marketing and analytics tools, and driving data quality initiatives that empower experimentation, attribution, and audience activation. Responsibilities 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 Qualifications 3+ years of experience as a Data Engineer or Analytics Engineer, with a strong focus on event-based data systems and customer data platforms Deep familiarity with CDPs, ideally Segment, including Tracking Plans, Protocols, Connections, Destinations, and Functions Strong understanding of SQL, dbt, and Snowflake Experience designing event schemas and collaborating with developers on instrumentation across web, mobile, and backend applications Knowledge of key marketing and growth concepts including user identity resolution, customer traits, conversion tracking, campaign attribution, and event-triggered workflows Passion for data quality, validation, monitoring, and governance practices Experience integrating tools such as Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinations Familiarity with Airflow, Python/pandas, Git, and modern data workflow management practices Excellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholders Preferred Qualifications Experience supporting experimentation and A/B testing frameworks Familiarity with modern analytics engineering best practices and observability tooling Experience working in fast-paced, cross-functional product organizations What Success Looks Like Reliable and scalable event tracking across all customer touchpoints Improved data quality and reduced instrumentation inconsistencies Faster activation of marketing audiences and campaigns Strong collaboration between Product, Marketing, Engineering, and Data teams Well-documented and governed tracking standards across the organization Responsibilities: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 Qualifications: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