---
title: 'Data Engineer at RevenueBase Inc'
canonical: 'https://feeny.ai/job/data-engineer-revenuebase-inc-remote-0zg2cd9gyp1b'
type: 'job'
last_seen: '2026-10-19'
---

# Data Engineer at RevenueBase Inc

- **Company:** RevenueBase Inc
- **Location:** Remote
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-10
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.ashbyhq.com/revenuebase-inc/1a9f2caa-d293-4297-a90d-8162e0f7972e

## Job description

RevenueBase:

- We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
- We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
- We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
- We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools.

Why We're Hiring This Role:

- Our data platform is scaling rapidly, and we need engineer who can own pipelines end-to-end, keep data quality high, and ensure reliability as we grow.
- This role exists to strengthen our data infrastructure, accelerate delivery through automation, and ensure our B2B customers receive accurate, timely data they can trust[.](http://trust.You)
- You'll work on data systems that directly power customer workflows - where pipeline reliability and data quality directly impact retention.

What You'll Do:

- Build and maintain production-ready data pipelines using DBT, Snowflake, and modern orchestration tools.
- Own data engineering features end-to-end, from implementation through optimization and deployment.
- Fix and improve existing pipelines - identify bottlenecks, resolve issues, and enhance performance.
- Drive automation initiatives across the data stack to accelerate delivery and reduce manual interventions.
- Provide 2nd line support for B2B customers - investigate data issues, clarify edge cases, and ensure customers can trust their data.
- Design and implement new data import pipelines as we expand our data source coverage.
- Implement data quality improvements - validation, monitoring, and testing to ensure reliable, accurate data delivery.
- Contribute to code reviews, architectural discussions, and data engineering best practices.

Who You Are:

- You have 3+ years of professional data engineering experience.
- Strong fundamentals in SQL, data modeling, Python and ETL/ELT principles.

Must have:

- DBT - hands-on experience building and maintaining transformation pipelines

Nice to have:

- Snowflake
- Databricks
- AWS (S3, Lambda, Glue, etc.)
- Prefect or similar orchestration tools (Airflow, Dagster)
- Solid understanding of data quality principles, testing strategies, and monitoring practices.
- Comfortable working in a fast-moving, remote-first environment.
- Strong communicator - able to explain technical issues clearly to both technical and non-technical stakeholders.
- Async-first mindset - can work independently, document decisions, and keep stakeholders informed without constant synchronous communication.
- End-to-end ownership mentality - you see tasks through from planning to production, handling blockers and follow-through.
- You care about data quality, pipeline reliability, and long-term maintainability.

Why RevenueBase:

- Product with real traction: Customers rely on our platform in production.
- High ownership: Small team where your work directly shapes the product.
- Engineering-driven culture: Quality and correctness matter.
- Growth stage company: Clear product-market fit and momentum.
- Impact over process: Less bureaucracy, more building.

What We Offer:

- Competitive compensation based on experience.
- Meaningful ownership and long-term growth opportunities.
- Flexible working hours.
- Fully remote-friendly team.
- Direct collaboration with founders and core engineering leadership.

## About RevenueBase Inc

## Company Overview
- **One-liner**: RevenueBase builds B2B data infrastructure — a platform of continuously verified contacts and companies delivered through flat-rate feeds and per-outcome APIs, designed for GTM teams, AI agents, and embedded products.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Waltham, Massachusetts, USA
- **Founded**: May 1, 2021
- **Founders**: Mark J. Feldman, Milenko Beslic

## Core Business
- **Primary Industry**: B2B Data Infrastructure / Data as a Service
- **Target Customers**: GTM product companies (embedding data into their SaaS), enterprise sales & marketing teams, demand generation agencies, AI developers, and data providers.
- **Mission**: To build the foundational data layer for B2B go-to-market — verified, always-current, and designed for modern GTM programs, AI agents, and data-driven products. [revenuebase.ai](https://revenuebase.ai/company)

## Products & Services
- **Data Feeds**: Flat-rate, unlimited access to 390M+ continuously verified B2B contacts and 60M+ companies, delivered directly to Snowflake, S3, and cloud storage. Records are re-verified every 90 days (contacts) and 60 days (emails), with 30M+ daily verification signals.
- **Clean & Enrich APIs**: Per-outcome pricing for canonical ID matching, stale job updates, missing field fills (revenue, title), and email verification at 97%+ accuracy, including catch-all domain resolution.
- **Discover & Search APIs**: Natural language and semantic search (e.g., "car dealerships" instead of SIC codes) with per-outcome pricing.
- **Gigasheet (No-Code UI)**: A browser-based interface for teams that don't need technical integration, enabling data exploration and export without APIs.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Total Funding**: Seed round closed on April 6, 2022. Amount not publicly disclosed. [crunchbase.com](https://www.crunchbase.com/organization/revenuebase)
- **Key Metric**: 390M+ contacts, 60M+ companies, 1B+ monthly verification signals processed.
- **Notable Customers/Partners**: ZoomInfo, Dun & Bradstreet, Clay, Wiza. [revenuebase.ai](https://revenuebase.ai/company)
- **Growth Signals**: 11 total employees (per Built In), actively hiring across engineering, customer engineering, and sales roles. Customer outcomes include bounce rates reduced from 30%+ to under 2% and $900K+ pipeline generated for individual accounts. [builtin.com](https://builtin.com/company/revenuebase)

## Competitive Advantages
- **Pricing Model**: Flat-rate feeds and per-outcome APIs (pay only for verified results) vs. the industry standard of per-credit metering. This removes friction and cost unpredictability, and aligns the vendor's incentive with data quality.
- **Data Provenance**: Every record carries a source and timestamp. Unlike most providers that blend data from unattributed sources (co-op models), RevenueBase builds from primary signals and provides full traceability.
- **Clean & Enrich First**: Before selling new data, the platform fixes existing CRM data through canonical ID matching, stale job updates, and email verification — a service most competitors avoid because there's no per-credit revenue in it.
- **Continuous Verification Loop**: 30M+ daily signals keep data fresh; contacts are re-verified every 90 days, emails every 60 days.

## Strategic Focus
- **AI-Native Infrastructure**: The company is positioning itself as the data layer for autonomous GTM systems and AI agents, which require unlimited, unmetered access to reason across entire datasets.
- **Developer-First Onboarding**: Self-service signup with 500 free API credits and masked data feeds (full schema, PII redacted) — no sales call required to start prototyping. [revenuebase.ai](https://revenuebase.ai/)
- **Embedded Data**: Serving GTM SaaS companies (like Clay and Orbital) that embed RevenueBase data into their own products, expanding reach beyond direct GTM teams.

## Why Work Here
- **Culture & Mission**: The team is building what they describe as "infrastructure for autonomous go-to-market," with a focus on solving a structural problem in B2B data (broken incentives from per-credit pricing). The founder, Mark Feldman, previously led product and marketing at NetProspex (acquired by Dun & Bradstreet for $125M), bringing deep domain experience. [revenuebase.ai](https://revenuebase.ai/company)
- **Remote-First with HQ**: The company is headquartered in Waltham, MA, but operates as a remote-first organization. Roles are listed as "Remote" or "In-Office or Remote," with the typical time on-site listed as "None." [builtin.com](https://builtin.com/company/revenuebase)
- **Engineering Focus**: The team is small (11 employees) and growing, with active roles for a Data Engineer, Full Stack Developer (Backend), and Customer Engineer. This suggests a hands-on, high-impact environment where engineers shape the core data infrastructure.
- **Notable Perks**: Startup pricing program for customers; internally, the small team size implies significant ownership and direct impact on product and architecture.

## Sources
1. [RevenueBase Official Website](https://revenuebase.ai/)
2. [RevenueBase Company Page](https://revenuebase.ai/company)
3. [RevenueBase Careers & Perks (Built In)](https://builtin.com/company/revenuebase)
4. [RevenueBase Crunchbase Profile](https://www.crunchbase.com/organization/revenuebase)
5. [RevenueBase LinkedIn](https://www.linkedin.com/company/revenue-base)

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