Data Engineer (SQL)

TL;DR

Data Engineer (SQL): Designing data architectures and real-time analytical solutions for clients with an accent on complex query optimization and high-performance API delivery. Focus on solving high-concurrency data challenges, mentoring customers on real-time data integration, and driving product improvements through client-facing technical collaboration.

Location: Must be based in the US

Compensation: $140,000–$208,000

Company

hirify.global enables developers and data teams to ingest, query, and publish real-time data as high-concurrency APIs at scale.

What you will do

• Define and implement data architectures based on client business goals.
• Guide and teach customers to work with real-time data at scale.
• Optimize SQL queries and complex data pipelines to reduce latency and improve performance.
• Develop prototypes to demonstrate best practices and platform capabilities.
• Collaborate across product and sales-engineering teams to influence the product roadmap based on customer needs.

Requirements

• Must be based in the US.
• Strong expertise in writing efficient, performant SQL.
• Ability to translate complex business problems into achievable technical solutions.
• Interest in sharing knowledge and helping customers succeed.
• Experience or strong interest in real-time data processing.

Nice to have

• Experience working with ClickHouse.
• Familiarity with other real-time data technologies.

Culture & Benefits

• Remote-first environment with in-person team meetups and offsites.
• Unlimited PTO with a minimum of 22 days off per year.
• Up to $3,000 home office setup allowance.
• Transparent and collaborative company culture with a focus on learning and growth.
• Equity in the form of stock options.

Hiring process

• Initial introductory meeting.
• Async technical test (approx. 2 hours) to assess problem-solving and reasoning.
• Role-play based review of the technical test.
• Final team interview.