Job Summary
- Overview
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
- Flexible vacation policy
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What We Do
Rill makes it easy to create and consume metrics by combining a SQL-based data modeler, real-time database, and metrics dashboard into a single product—a simple alternative to complex BI stacks.
What makes Rill different?
- Cost-performance—Our customers often cut their data warehouse bills in half while getting 10-20x performance lifts.
- At any scale—Even best-in-class cloud data warehouses can't keep up with Rill at scale.
- More users the better—Rill shines brightest with lots of concurrent users—invite more users at no extra cost.
- Streaming native—Built to work best on event stream data, there's no faster path from Kafka to KPIs.
Contact us to learn more.
