Data Engineer

We are seeking an exceptional Senior Data Platform Engineer to architect and develop a highly scalable data infrastructure for a fast-growing AI-powered vertical software startup revolutionizing retail and commerce operations. This role requires designing robust data systems capable of handling massive financial and operational datasets while delivering real-time insights through advanced AI integration. You will work with cutting-edge data technologies to build the backbone that powers financial forecasting, demand planning, and inventory optimization for leading e-commerce brands at enterprise scale.

Working hours — EST time zone.

Key Responsibilities:

• Takes total responsibility for data platform performance, pipeline health, and proactive issue resolution — investigates and resolves independently, then reports resolution rather than seeking approval mid-process.
• Prioritizes rapid issue resolution and pragmatic fixes over theoretical code perfection to keep customer operations running smoothly.
• Works closely with product managers and stakeholders, providing frequent updates (every 45 minutes) during production incident resolution.
• Thrives in a fast-paced startup environment, quickly shifting priorities when production bugs arise.

Requirements:

• 6+ years designing and building SQL-based data warehouses (BigQuery or Snowflake).
• Hands-on experience with Airbyte for ingestion (including building custom YAML files) and DBT for transforms.
• 6+ years of professional development experience with modern languages (Python and/or SQL) focused on data engineering, testing, and downstream pipeline validation.
• Takes ownership during incidents: resolves issues in ~30 minutes, updates every 45 minutes, acts without waiting for approval.
• Daily, hands-on use of Claude Code (or an equivalent agentic coding tool) to investigate and ship fixes.
• Comfortable working alongside multi-tenant BigQuery consumption via MCP servers.

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