Data Engineer

Responsibilities

• 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.

• 3-5+ years of experience in data engineering and data architecture.
• Experience working with Software Engineering and Dev Ops 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 Git Hub for code management.