Data Engineer

Perform Product data engineering in partnership with Software Engineering to build new Product features and enhancements. Build Product and Customer Analytic Data Architecture: Build the data infrastructure necessary to analyze & support Product strategy. Build and Optimize Data Pipelines: Design, build, and deploy data pipelines from multiple source systems; refactor existing pipelines for performance. Automate and Monitor Data Processes: Document data workflows, automate pipelines, and establish observability and monitoring to ensure availability of analytic & Product data. Present and Communicate Technical Solutions: Clearly communicate technical topics and data solutions to non-technical stakeholders to achieve buy-in. Required Skills 3-5+ years of experience in data engineering and data architecture. Experience working with Software Engineering and DevOps as part of the Product development lifecycle. Demonstrated experience building data models for capturing software application telemetry and website traffic for Product usage & site visitor analytics. Demonstrated experience building data models for capturing billing and subscriber transactions to support revenue and retention analytics. Expertise in SQL, dbt, Python , batch & streaming processing, change data capture, orchestration, scheduling, and data migration best practices - experience with Postgres, Snowflake, Airflow, and Dagster preferred . Hands‑on expertise designing data quality & pipeline observation, monitoring, and alerting best practices. Knowledge of or experience with advertising/adtech business models preferred. Ability to integrate analytic data pipelines into Business Intelligence tools - Looker preferred . Knowledge of or experience with GitHub for code management. #J-18808-Ljbffr Inclusion-Cloud