Offer summary

Qualifications:

Fluency in SQL and competency in Python., Bachelor’s degree in a STEM discipline or equivalent industry experience., 3+ years of experience in a data engineering or related role., Familiarity with major cloud environments (AWS, Google Cloud, Azure)..

Key responsibilities:

Collaborate with enterprise customers to optimize data models for performance and cost efficiency.

Work with the platform engineering team to enhance and refine our incremental ingestion architectures.

Partner with account executives and solution architects to rapidly prototype solutions for proof-of-concept sales engagements.

Job description

About Rill

Rill is the world’s fastest BI tool, designed from the ground up for real-time databases like DuckDB and ClickHouse. Our platform combines last-mile ETL, an in-memory database, and interactive dashboards into a full-stack solution that’s easy to deploy and manage. With a BI-as-code approach, Rill empowers developers to define and collaborate on metrics using SQL and YAML. Trusted by leading companies in e-commerce, digital marketing, and financial services, Rill provides the speed and scalability needed for operational analytics and partner-facing reporting.

Job Summary

Overview

Rill is looking for a Staff Data Engineer to join our Field Engineering team. In this role, you will work closely with enterprise customers to design and optimize high-performance data pipelines powered by DuckDB and ClickHouse. You will also collaborate with our platform engineering team to evolve our incremental ingestion architectures and support proof-of-concept sales engagements.

The ideal candidate has strong SQL fluency, experience with orchestration frameworks (e.g., Kestra, dbt, SQLGlot), familiarity with data lake table formats (e.g., Iceberg, Parquet), and an understanding of cloud databases (e.g., Snowflake, BigQuery). Most importantly, you should have a passion for solving real-world data engineering challenges at scale.

Key Responsibilities

Collaborate with enterprise customers to optimize data models for performance and cost efficiency.

Work with the platform engineering team to enhance and refine our incremental ingestion architectures.

Partner with account executives and solution architects to rapidly prototype solutions for proof-of-concept sales engagements.

Qualifications (required)

Fluency in SQL and competency in Python.

Bachelor’s degree in a STEM discipline or equivalent industry experience.

3+ years of experience in a data engineering or related role.

Familiarity with major cloud environments (AWS, Google Cloud, Azure)

Benefits

Competitive salary

Health insurance