bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesEveHead of Data Engineering

Head of Data Engineering

Eve · Remote - US · Remote · Active · $280,000–$350,000 / year · Greenhouse

Job facts

FieldValue
CompanyEve
TitleHead of Data Engineering
Normalized title-
Department / teamProduct
LocationUnited States
Work modelRemote / Hybrid
Employment type-
Salary$280,000–$350,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-03-31 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-19

Related slices

PageWhat it containsOpen
Company jobsActive postings from Eve.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Product.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyEve
Sourceb50085f9-3ae2-4c35-bfdd-ebe3692c8dfe
ATS providerGreenhouse

Description

About Eve Eve is redefining legal technology for plaintiff law firms, and we're building the team that will take us there. We help firms handle more cases, recover more for clients, and grow with AI that works across every stage of a case, from intake through resolution. The next generation of great plaintiff firms will be AI-Native, and Eve is how they get there. But what makes Eve different isn't just the product. It's how we build it. If you're someone who takes ownership, stays curious, and wants to build AI that's already changing how law is practiced, this is where you belong. Product-market fit: Eve is trusted by over 1000+ 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. 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 We're Looking For: 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 . Final compensation will be determined based on a variety of factors, including but not limited to relevant experience, skills, interview performance, and the scope and level of the role and candidate. US Base Salary Range $280,000 — $350,000 USD 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 🖥️ Workplace Setup Reimbursement 🏠 Telecomm Stipend 🏝 Flexible Time Off (FTO) + Holidays 🚀 Quarterly Team Gatherings 🥪 In office Perks* *In office employees only Eve Legal is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to your recruiter. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Full job record

Job ID8fb8c9e3c532b56c645ada57430583d8201d48a0
Org ID27b5fcd1-cd24-49f2-814c-e9d59787b597
Source IDb50085f9-3ae2-4c35-bfdd-ebe3692c8dfe
Board IDb50085f9-3ae2-4c35-bfdd-ebe3692c8dfe
Providergreenhouse
Provider Job Key4204197009
TitleHead of Data Engineering
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentProduct
Team
Employment Type
Workplace Typeremote
Remote Policyhybrid
CountryUnited States
Region
City
Salary RawSalary Range $280,000 — $350,000 USD Benefits 💰 Competitive Salary & Equity 💹 401(k) Program
Salary Min280,000
Salary Max350,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/eve/jobs/4204197009
Apply URLhttps://job-boards.greenhouse.io/eve/jobs/4204197009
First Seen At2026-05-29 22:42:22Z
Last Seen At2026-06-19 07:36:52Z
Last Checked At2026-06-19 07:36:52Z
Last Changed At2026-05-29 22:42:22Z
Inactive At
Source Posted At2026-03-31 16:43:54Z
Source Updated At2026-05-11 17:10:42Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=eve/date=2026-06-19/2026-06-19T07-36-52-695Z-4777be0f87e36122180b6f8478e8926e34249c62ce4554a55b4c5eb34547de3f.json
Event Fields
{
  "content_hash": "ea34b09d2e627589f2db99e5ed55de84b1648b5562ea6cf56577b2bb7d09b9f1",
  "source_hash": "3659e3d2207a57537dc64d70247136dcfc2f35d7c8be5f19dccf1654b0efe44d",
  "last_changed_at": "2026-05-29T22:42:22.507Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Remote - US",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": 350000,
  "salary_min": 280000,
  "inferred_at": "2026-06-19T07:36:52.821Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Remote - US",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "title": "Head of Data Engineering",
  "offices": [
    {
      "id": 4033506009,
      "name": "San Mateo, CA (Hybrid)",
      "location": "San Mateo, California, United States",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "language": "en",
  "location": {
    "name": "Remote - US"
  },
  "metadata": [],
  "updated_at": "2026-05-11T13:10:42-04:00",
  "departments": [
    {
      "id": 4031202009,
      "name": "Product",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Eve",
  "requisition_id": 4119243009,
  "first_published": "2026-03-31T12:43:54-04:00",
  "application_deadline": null
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/8fb8c9e3c532b56c645ada57430583d8201d48a0?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/27b5fcd1-cd24-49f2-814c-e9d59787b597JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/b50085f9-3ae2-4c35-bfdd-ebe3692c8dfeJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/8fb8c9e3c532b56c645ada57430583d8201d48a0/eventsJSON