Senior Data Engineer
Full-time Mid-Senior levelJob Overview
About Us
We believe the job search should be smart, fast, and human. People shouldn’t have to spend hours filling out meaningless forms and answering repetitive questions. Today, JobHire.AI already helps candidates discover career opportunities in the US and effortlessly get interviews with hiring managers and recruiters — so they can focus on what truly matters: growth, family, and professional development.
We love data. Every leader at the company uses data regularly to make decisions — from shaping product strategy to fine-tuning ad campaigns. Our core competitive advantage is built on multifactor models for job search and presenting our candidates to employers. To strengthen the quality and speed of critical decision-making, and to 10x the value of our product, we are looking for a leader who will own the development of data and analytics across the company.
A Few Facts About the Company
- 📈 ~35% MoM; top 1% in growth rate
- 💰 Profitable from day one
- 👥 A team of 40 professionals
- 🚀 Investors: Deel Ventures, Daniel Gutenberg, Dave Waiser, Margulan Seisembaev, and other unicorn founders
Vision
JobHire.AI — your personal AI agent for continuous professional growth and happiness at work.
Your Responsibilities
- Maintain the existing data infrastructure
- Collaborate with the external BI team to improve the internal DWH: set requirements and control delivery
- Organize data collection from external and internal sources
- Create and implement a comprehensive data infrastructure strategy
- Analyze issues in the current solution
- Gather requirements for the DWH
- Develop the target DWH architecture
- Build the DWH
- Migrate all consumers to the new DWH
Requirements
Our Expectations
- 3+ years of experience as a senior data engineer
- Strong SQL skills
- Experience working with external vendors/contractors
- Excellent communication skills
- English — B1
- Experience building analytics systems from scratch or deeply refactoring existing ones
Nice to Have
- Practical data analysis (ML) experience — 2+ years
- Hands-on experience with LLMs
- Ability to work with MongoDB
- English — B2
- Experience building recommendation systems
- Experience working in Agile/Scrum teams
Benefits
What We Offer
- The opportunity to grow within one of the fastest-growing AI startups in the world
- High autonomy in building strategy and processes
- Competitive salary + performance bonuses
- Flexible working format (remote, schedule by agreement)
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