Data Engineer

Location: Seattle Hybrid, San Francisco Hybrid

Department: Software Engineering

Location Type: HYBRID

Employment Type: FULL_TIME

Who we’re looking for

What you’ll do

• Establish Data Foundations: Build the data infrastructure needed to deeply understand agent behavior, usage patterns, and performance—turning raw signals into actionable intelligence that informs product and business decisions.
• Build Agent Evaluation Infrastructure: Design and implement structured evaluation frameworks for Supio’s AI agents, creating the measurement systems that enable continuous improvement of our core product.
• Analyze User Behavior: Investigate how customers interact with Supio’s platform, comparing natural language input patterns against traditional click-based behavior to surface insights that drive product strategy.
• Solve High-Impact Business Problems: Identify and build systems that address Supio’s most critical data challenges, driving outcomes that matter to the business rather than producing routine reports.
• Shape Data Strategy: Partner with senior engineering and leadership to define where data creates the most leverage, elevating the function beyond basic analytics toward real business impact.

Qualifications

• Experience: 4+ years in data engineering or data science, with a track record of owning and delivering complex data projects end-to-end as an individual contributor.
• Technical Skills: Proficiency with modern data engineering and data science stacks and tools; hands-on experience with data lakes, read replicas, and distributed data systems.
• Business Acumen: Drive and demonstrate ability to deeply understand business context and product goals—you seek out the ‘why’ before building the ‘what.’
• Problem Formulation: Creative problem solver who translates ambiguous business questions into well-scoped data problems with measurable outcomes.
• Independent Execution: Proven track record driving projects from initial scoping through delivery without requiring close direction; you own outcomes, not just tasks.
• Communication: Strong ability to communicate technical concepts and findings to non-technical stakeholders, including senior leadership.
• Collaboration: Comfortable working across engineering, product, and leadership teams in a fast-moving startup environment.
• Familiarity with LLMs, AI agents, or evaluation frameworks for generative AI systems.

You’re a strong fit if you 

• Founding data engineer or early data team experience at a high-growth startup.
• Background that spans product management and data engineering, with the ability to bridge both worlds.
• Exposure to legal tech or other complex verticals.

Compensation