Senior Data Engineer

Join our team as a Senior Data Engineer, where you'll take ownership of our data platform's development, reliability, and continuous evolution. This high-autonomy role involves working across production systems at scale, defining technical direction, coordinating cross-team dependencies, and driving measurable impact. You'll mentor others, raise engineering standards, and operate confidently in high ambiguity. Your responsibilities will include designing and implementing critical data pipelines, enforcing data quality standards, leading cross-team technical discussions, and driving large-scale technical initiatives. You'll also shape the team's technical culture through code reviews, mentorship, and documentation.

• Lead the design, implementation, and operation of critical data pipelines and platform infrastructure on AWS.
• Define and enforce data quality standards, observability practices, and operational controls across the platform.
• Drive large-scale technical initiatives end-to-end - from design through delivery - coordinating dependencies across teams.
• Track record of mentoring others and raising the technical bar
• Experience owning and operating production data pipelines at scale
• Comfortable operating in high ambiguity: you frame problems, define options, and drive convergence
• Strong system design instincts - you reason clearly about trade-offs and communicate decisions well
• 5+ years of experience in data engineering or a closely related discipline
• Expert SQL and strong Python skills (pandas, polars, or similar)
• Proven ability to lead cross-team technical projects and align stakeholders
• Hands-on experience with our stack: dbt, dlt, ClickHouse, PostgreSQL, Metabase, AWS
• Experience with workflow orchestration (e.g. Airflow)
• Familiarity with energy markets, time-series data, or operational data platforms
• Prior experience as a technical lead or staff engineer