Staff Data Engineer

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🕒 March 9

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Qualifinds

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

👥 HR Tech

Recruitment • HR Tech

Qualifinds is a specialized recruitment company that focuses on optimizing the hiring process by integrating subject matter experts (SMEs) into the evaluation of candidates. The company aims to connect businesses with top talent efficiently, ensuring candidates are not only a great fit for the company culture but also possess the necessary technical knowledge for their roles. By providing comprehensive visibility into the hiring process, Qualifinds helps businesses organize and synchronize their recruitment efforts, allowing for intelligent decision-making and rapid growth.

📋 Description

• Architect and scale the systems that power our AI-driven valuation tools, market analytics, and collector insights • Lead development of our data ingestion pipelines and enrichment workflows • Own the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehouses • Operationalize AI/ML workflows • Integrate output with backend APIs and frontend analytics dashboards • Collaborate across engineering and product to ship reliable, intelligent features quickly

🎯 Requirements

• B.S in Computer Science or equivalent • 7+ years of backend engineering experience with at least 2+ years in a technical lead, staff, or principal role at a high-growth startup or product company • Proven track record of mentoring engineers, leading technical initiatives, and making architectural decisions that scale • Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or Temporal • Have designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategies • Understand tradeoffs between ETL and ELT • Have hands-on experience with data lakes and data warehouses • Have integrated structured and unstructured sources • Enjoy resolving messy edge cases that come with real-world data • Have worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extraction • Thrive in AI-native environments • Experience building products from scratch • Care about clean architecture, versioning, reproducibility, and quality in data systems • Experience with GCP, Node.js/JavaScript and Vercel

🏖️ Benefits

• Meaningful equity • Competitive compensation • Remote-flexible culture with an HQ in NYC