Senior Data Engineer

You'll make a difference by:

• Providing technical support to teams adopting analytics platforms such as Adobe Analytics, Hotjar, and Moesif.
• Validating analytics implementations and troubleshooting tracking, integration, and data-quality issues.
• Integrating and processing analytics data through REST APIs.
• Developing complex SQL queries and working with Snowflake data platforms.
• Designing, developing, and maintaining Power BI dashboards, reports, and semantic models.
• Translating product measurement requirements into meaningful metrics, data models, and reporting solutions.
• Integrating data from multiple analytics and product sources to generate actionable business insights.
• Monitoring and improving data quality, reliability, and consistency across reporting systems.
• Collaborating with cross-functional teams to enable data-driven product and business decisions.
• Contributing to scalable analytics and reporting solutions aligned with Building X objectives.

You'll win us over by:

• Holding a Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Data Science, or a related engineering discipline.
• Bringing strong experience in data analytics, reporting, and software development.
• Demonstrating hands-on expertise in SQL and Snowflake.
• Possessing strong knowledge of Power BI, data modeling, and data visualization best practices.
• Having experience integrating and supporting usage-tracking and analytics solutions such as Adobe Analytics, Hotjar, Moesif, or similar platforms.
• Being proficient in JavaScript and/or TypeScript development.
• Having practical experience working with REST APIs and data integrations.
• Understanding analytics instrumentation, event tracking, and product measurement frameworks.
• Being experienced with Git-based development workflows and CI/CD practices.
• Demonstrating strong troubleshooting, problem-solving, and software engineering capabilities.

Nice to Have

• Experience with the Google HEART framework for product analytics.
• Python programming skills.
• Experience in Cloud and SaaS-based application development.
• Knowledge of API monitoring, observability, and operational analytics.
• Exposure to modern data engineering and analytics best practices.