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The Lead Data Engineer will design and build the data warehouse, develop ETL/ELT pipelines, and establish data governance and quality practices while building a team to support data-driven growth.
Company Overview:
At Eve, we’re redefining what’s possible in legal technology. Our mission is to empower plaintiff law firms with AI-driven solutions that elevate how they operate, serve clients, and grow.
We believe the future of law will be built by “AI-Native Law Firms” — firms that are managed, scaled, and optimized by intelligent systems rather than manual processes and endless administrative work. Eve’s technology augments the capabilities of attorneys across every stage of a case — from intake and document review to strategy and settlement — so they can focus on what truly matters: achieving the best outcomes for their clients.
Our vision is simple yet transformative: enable every firm to operate at its highest potential through the power of AI.
Why Join Eve
Product-market fit: Eve is used by over 550+ law firms, and we’re growing fast.
Backed by top investors: We’ve raised over $160M from world-class partners including Spark Capital, Andreessen Horowitz(A16z), Menlo Ventures, and Lightspeed.
Built by a world-class team: Engineers, designers, and operators from places like Scale, Meta, Airbnb, Cruise, Square, Rubrik, and Lyft are building Eve from the ground up.
AI-Native from day one: We’re on the bleeding edge of AI, collaborating directly with teams at OpenAI and Anthropic to build best-in-class AI workflows tailored for legal work.
Explosive growth: We are growing 2X revenue Quarter over Quarter.
The Opportunity
We’re hiring Eve's 1st Leader of Data Engineering to build the foundation that turns Eve into a truly data-driven company. This is a builder role. You’ll architect and own the company’s data infrastructure from the ground up, turning fragmented data into reliable systems that teams can trust and build on, then build a team to help Eve continue to scale.
What You'll Do
- Design and build Eve’s data warehouse architecture from the ground up, including schema design, data modeling, and pipeline orchestration.
- Develop and maintain reliable ETL/ELT pipelines that integrate data across core business systems (CRM, product, billing, marketing, etc.).
- Define and implement core business data models that standardize how Eve measures pipeline, conversion, revenue, customer health, and attribution.
- Build a reliable GTM data layer that enables marketing, sales, CS, and finance teams to self-serve key insights without ad hoc analysis.
- Establish data quality, governance, and monitoring practices to ensure accuracy and reliability across the data stack.
- Create cross-functional intake and prioritization processes for data requests, balancing infrastructure work with business needs.
- Partner closely with GTM, finance, product, and engineering teams to understand their workflows and translate them into durable data systems.
- Select and manage Eve’s data stack (warehouse, orchestration, transformation, BI tooling).
- Lay the foundation for product analytics and behavioral event tracking across Eve’s platform.
- Build and scale Eve’s data function over time, including hiring, team structure, and operating processes.
What You'll Bring
- Proven experience building a data warehouse and core data infrastructure from scratch at a high-growth SaaS or technology company.
- Deep expertise in data engineering, including data modeling, ETL/ELT pipeline design, and warehouse architecture.
- Strong proficiency with SQL and modern data stack tools (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Prefect, etc.).
- Experience integrating and modeling data from GTM systems such as CRM, marketing automation, billing, and customer success platforms.
- Demonstrated ability to translate business workflows into durable data models that teams can rely on for decision-making.
- Comfortable operating in early-stage environments with messy, incomplete, or inconsistent data.
- Strong cross-functional communication skills and ability to work closely with sales, marketing, CS, finance, and product teams.
- Experience owning architectural decisions for the data stack, including tooling selection and infrastructure design.
- Familiarity with product analytics and event instrumentation across web or application platforms.
- Fluency with AI-assisted development tools such as Cursor, Claude Code, or GitHub Copilot.
- Entrepreneurial mindset with a desire to build and own a data function from the ground up.
Benefits:
💰 Competitive Salary & Equity
💹 401(k) Program with Employer Matching
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚗 Commuter Benefits
🧑💻 Autonomous Work Environment
🖥️ Office Setup Reimbursement
🏝 Flexible Time Off (FTO) + Holidays
🚀 Quarterly Team Gatherings
🥪 In office Perks
Top Skills
Ai-Assisted Development Tools
Airflow
BigQuery
Data Warehouse
Dbt
Prefect
Redshift
Snowflake
SQL
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