Jobgether, a cutting-edge Talent Matching Platform, is seeking a Staff Data Engineer to join their team in a fully remote capacity across the United States. This role represents an exceptional opportunity for an experienced data engineer to make a significant impact in a company that leverages AI for talent matching.
The position requires a seasoned professional with 6-10 years of experience who can design and implement scalable data pipelines, build and maintain data lake solutions, and lead architectural decisions. You'll work with modern technologies including Spark, Databricks, and various AWS services, while collaborating with cross-functional teams across analytics, engineering, and AI.
The role offers a competitive compensation package ranging from $160,000 to $210,000 annually, along with comprehensive benefits including health insurance, 401(k), equity opportunities, and flexible PTO. This is an ideal opportunity for someone who wants to work at the intersection of data engineering and AI-driven talent solutions, while having the flexibility of remote work.
As a Staff Data Engineer, you'll be responsible for ensuring high data quality and availability standards across the enterprise, implementing DevOps practices, and providing technical mentorship within the data team. The position requires expertise in both SQL and NoSQL databases, modern data orchestration tools, and web frameworks, making it perfect for a well-rounded technical leader who can drive innovation and maintain high-performance data systems.