Lead high-difficulty AI projects, manage quality across multiple projects, and mentor junior data scientists.
About this role
ANDPAD hires a data engineer to build the data foundation for a construction collaboration service used by more than 260,000 companies and 690,000 users. As product development is split into many microservices, the company wants the accumulated site data to support decisions, new businesses and improvements to customers' work.
The engineer works with product managers, engineers, data stewards and analysts to build and run a reliable, easy-to-use analytics platform, create ETL that data users can handle, model the data warehouse and data marts, operate BI tools with attention to privacy and security, and research analytics, infrastructure and data protection technologies. The stack includes AWS and GCP, Python, Terraform, BigQuery, Metabase, Looker, Luigi, dbt and Dataform, and the company is moving to an AI-native way of working with coding agents.
Required are sympathy with ANDPAD's mission and values, experience developing continuously released software, CI/CD and cloud use, basic security knowledge, ETL or ELT design and operation, BI tool use, and the ability to finish projects with colleagues. Modern data stack knowledge, dbt or Dataform, infrastructure as code and leading projects are preferred.
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