Staff Data Engineer

Jobgether, an AI-driven Talent Matching Platform, is seeking a Staff Data Engineer to join their team in a remote position within the United States. This role is perfect for an experienced data engineer who will be responsible for designing and implementing scalable data infrastructure. The position requires expertise in data lake development, distributed processing, and enterprise-level data integration. You'll work with technologies like Spark, Databricks, and AWS services while collaborating with cross-functional teams across analytics, engineering, and AI.

The role offers a competitive salary range of $160,000 – $210,000 per year, along with comprehensive benefits including health insurance, 401(k), and equity opportunities. As a Staff Data Engineer, you'll lead architectural decisions, mentor team members, and build robust data pipelines that support the company's mission-critical operations. The ideal candidate should have 6-10 years of experience, strong proficiency in SQL and NoSQL databases, and expertise in modern data orchestration tools.

You'll be working in a remote environment with flexible paid time off, allowing for work-life balance while contributing to innovative data solutions. The position offers significant growth opportunities through ongoing career development and mentorship programs. If you're passionate about building scalable data systems and want to work with cutting-edge technologies in an AI-driven company, this role provides an excellent opportunity to make a meaningful impact while advancing your career.