Data Engineer

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🕒 February 25

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RevenueBase

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

🤝 B2B

☁️ SaaS

🔌 API

💰 $6M Seed Round - RevenueBase on 2022-04

B2B • SaaS • API

RevenueBase is a data infrastructure company for B2B go-to-market products that provides continuously refreshed company and contact data, APIs, and data tools (including email verification) to power marketing, sales, and ops teams. It offers verified, living B2B data and actionable insights to improve outreach, increase conversion rates, reduce bounce rates, and maintain data quality for GTM platforms and AI-driven workflows.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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.