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Data Engineer (Won)

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Summary

Data engineer building product and customer analytics data infrastructure: designing, deploying, and optimizing data pipelines, implementing data models in dbt, and automating monitoring/observability. Core stack is SQL, Python, and dbt with Postgres, Snowflake, Airflow/Dagster, GitHub, and Looker for BI.

In this role, you will:

  • 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.
  • Perform Data Modeling: Implement data modeling best practices in dbt.
  • 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.

Skills

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See also

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