Data Analytics Engineer

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.ResponsibilitiesPartner 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 systemsServe as the technical owner for Segment event pipelines, proactively monitoring schema drift, naming violations, delivery issues, and Protocols violationsDevelop and manage custom mappings, traits, and transformations in Segment, including Segment Functions, to support downstream destinations such as Braze, Amplitude, and SnowflakeEnable Marketing teams to activate audiences and campaigns by ensuring accurate, timely, and reliable customer data deliveryCollaborate with Data Platform Engineers to scale Airflow-based orchestration workflows and implement testing frameworks for event and customer data qualityConduct periodic audits, validation testing, and regression checks to ensure data completeness and integrity across environmentsMaintain documentation, event naming conventions, and instrumentation standards to improve data literacy and consistency across teamsSupport experimentation, attribution, and customer lifecycle initiatives through robust event tracking and monitoring practicesQualifications3+ years of experience as a Data Engineer or Analytics Engineer, with a strong focus on event-based data systems and customer data platformsDeep familiarity with CDPs, ideally Segment, including Tracking Plans, Protocols, Connections, Destinations, and FunctionsStrong understanding of SQL, dbt, and SnowflakeExperience designing event schemas and collaborating with developers on instrumentation across web, mobile, and backend applicationsKnowledge of key marketing and growth concepts including user identity resolution, customer traits, conversion tracking, campaign attribution, and event-triggered workflowsPassion for data quality, validation, monitoring, and governance practicesExperience integrating tools such as Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinationsFamiliarity with Airflow, Python/pandas, Git, and modern data workflow management practicesExcellent communication and collaboration skills, with the ability to work effectively with both technical and non-technical stakeholdersPreferred QualificationsExperience supporting experimentation and A/B testing frameworksFamiliarity with modern analytics engineering best practices and observability toolingExperience working in fast-paced, cross-functional product organizationsWhat Success Looks LikeReliable and scalable event tracking across all customer touchpointsImproved data quality and reduced instrumentation inconsistenciesFaster activation of marketing audiences and campaignsStrong collaboration between Product, Marketing, Engineering, and Data teamsWell-documented and governed tracking standards across the organizationResponsibilities: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 violationsDevelop and manage custom mappings, traits, and transformations in Segment (including Segment Functions) to power downstream destinations like Braze, Amplitude, and SnowflakeEnable the marketing team to activate audiences and campaigns by ensuring accurate and timely data flows to destinationsCollaborate with data platform engineers to scale our Airflow-based orchestration and build testing frameworks for event and customer data qualityConduct periodic audits, validation tests, and regressions to ensure data completeness and integrityacross environmentsMaintain documentation, event naming conventions, and cross-functional education efforts to drive better data literacy and consistency in instrumentationQualifications:3+ years of experience as a Data or Analytics Engineer with a focus on event-based data systems and customer data platformsDeep familiarity with CDPs (ideally Segment) including tracking plans, Protocols, Connections, Destinations, and FunctionsUnderstanding of SQL, dbt, SnowflakeExperience writing event schemas and partnering with developers on instrumentation across web, mobile, and backend systemsUnderstanding of key marketing concepts like user identity, traits, conversion tracking, campaign attribution, and event triggersA passion for data quality, validation, and monitoring practices, especially around marketing and experimentation dataFamiliarity with tools like Braze, Amplitude, Google Ads, or Facebook Pixel through Segment destinationsFamiliarity with Airflow, Python/pandas, Git, and general data workflow managementExcellent collaboration skills and the ability to communicate clearly with both technical and non-technical stakeholders