Data Engineer

Supio; San Francisco (CA); On-site; USD 185,000 - 220,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Supio is seeking a Data Engineer to join a fast-moving startup at the intersection of data infrastructure, AI, and business strategy. You’ll own end-to-end data projects, partner with senior engineering and leadership, and build scalable systems from scratch to enable product and growth decisions.

The role requires 4+ years in data engineering, experience with data lakes and distributed systems, and comfort translating business questions into measurable data problems.

Qualifications

• 4+ years in data engineering or data science, delivering complex data projects end-to-end.
• Hands-on with data lakes, read replicas, and distributed data systems.
• Ability to understand business context and product goals.
• Creative problem solver translating ambiguous questions into data problems.
• Proven track record driving projects with minimal direction.
• Strong communication of technical concepts to non-technical stakeholders.
• Experience collaborating across engineering, product, and leadership.
• Familiarity with LLMs, AI agents, or evaluation frameworks for generative AI.

Responsibilities

• Establish data foundations and infrastructure to understand behavior and usage patterns.
• Build evaluation infrastructure for AI agents and product measurement.
• Analyze user behavior to surface insights guiding product strategy.
• Solve high-impact data challenges driving business outcomes.
• Shape data strategy with senior leadership to maximize leverage.

Skills

Data engineering

Data lakes

Distributed systems

Business acumen

Independent execution

Cross-functional communication

LLMs / AI familiarity

Tools

Data stacks

Job description

Who Wefers Looking For

Who Werere Looking ForWere looking for a Data Engineer who brings intellectual curiosity and genuine drive to understand the business and product 3 not just the data. This isnt a role for someone who waits for requirements; its for an independent thinker who seeks out cross-functional peers for problems worth solving and then builds the systems to solve them. Youll work closely with senior engineering and leadership across the company, sitting at the intersection of data infrastructure, AI, and business strategy. If youre energized by building from the ground up and making ambiguous problems concrete, this is the role for you.

Who Were Looking ForWere looking for a Data Engineer who brings intellectual curiosity and genuine drive to understand the business and product 3 not just the data. This isnt a role for someone who waits for requirements; its for an independent thinker who seeks out cross-functional peers for problems worth solving and then builds the systems to solve them. Youll work closely with senior engineering and leadership across the company, sitting at the intersection of data infrastructure, AI, and business strategy. If youre energized by building from the ground up and making ambiguous problems concrete, this is the role for you.

What Youll Do

• Establish Data Foundations: Build the data infrastructure needed to deeply understand agent behavior, usage patterns, and performanceaching raw signals into actionable intelligence that informs product and business decisions.
• Build Agent Evaluation Infrastructure: Design and implement structured evaluation frameworks for Supios AI agents, creating the measurement systems that enable continuous improvement of our core product.
• Analyze User Behavior: Investigate how customers interact with Supios 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 Supios 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 a 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.

Youre 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

As an early-stage startup, we offer a competitive compensation package that includes base salary, meaningful equity, and benefits. Equity grants are designed to ensure employees share in the long-term success and upside of the company.

Base Salary by Location

Seattle, WA: $185,000 - $220,000 annually

San Francisco, CA: $185,000 - $220,000 annually

Actual compensation may vary outside of these ranges based on a number of factors, including a candidates qualifications, skills, competencies, experience, and geographic location.