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Data Engineer at RevenueBase | JobVerse
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Data Engineer
RevenueBase
Remote
Website
LinkedIn
Data Engineer
United States
Full Time
1 hour ago
Apply Now
Key skills
Airflow
AWS
ETL
Python
SQL
ELT
Data Engineering
Snowflake
Databricks
dbt
Lambda
S3
Glue
Leadership
Collaboration
About this role
Role Overview
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.
Tech Stack
Airflow
AWS
ETL
Python
SQL
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.
Apply Now
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