Data Analytics Engineer

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 integrityacross 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…