Data Engineer
Core
Building and maintaining scalable data pipelines, transformations, and reporting models to drive data-informed decision-making for a SaaS platform serving self-employed individuals and micro-businesses.
Role type
Senior IC Data Engineer (Analytics Engineering)
Builds
Scalable data pipelines, transformations, reporting models, and analytics-ready data marts
Domain
SaaS / Cloud Data Engineering
Deliverable
production ML models | product features
Required skills
SQL (complex joins, aggregations, CTEs, window functions), dbt, Python, cloud data warehousing, ETL processes, data modeling, data quality assurance, data governance
Preferred skills
AI-powered development tools (GitHub Copilot, Claude), API integrations, CDC pipelines, observability mechanisms
Technologies
Snowflake, dbt, Airflow, AWS, GitHub Copilot, Claude
Responsibilities
Build and maintain scalable data pipelines and transformations; Develop and optimize data ingestion workflows and API integrations; Implement data quality checks, testing, and monitoring; Design and maintain analytics-ready data models; Leverage AI-powered tools to improve productivity; Collaborate with analysts and stakeholders to define metrics and deliver solutions
Seniority
Senior, hands-on IC