Senior Data Engineer

Float is seeking a Senior Data Engineer to spearhead their AI integration initiatives, particularly focusing on their Resource Recommendation Engine. As a certified B Corporation with a 50+ person remote team across the globe, Float offers a unique opportunity to shape the future of resource management software. The role involves leading technical discussions, developing AI-powered solutions, and building robust data architectures.

The position requires expertise in machine learning, data engineering, and advanced algorithms, with a focus on pattern detection and optimization. You'll work with technologies like Python/Java, SQL, Kafka, and various databases while collaborating with a global team using asynchronous communication tools.

Float has grown consistently since 2012, operating independently and profitably. They serve 4,500+ customers worldwide and maintain a #1 rating for resource management on G2. The company culture emphasizes work-life balance, autonomous decision-making, and professional growth.

The role offers a competitive salary of $167,471 and includes various perks designed to support remote work. Float maintains a transparent work environment, sharing their handbook publicly and fostering a culture of continuous learning and innovation. The position presents an excellent opportunity for someone who thrives in a scale-up environment and wants to make a significant impact on product development and business strategy.

The hiring process is comprehensive, including a paid take-home assignment and multiple interviews with team members across different levels. Float encourages applications from diverse candidates, even those who might not meet all listed requirements but demonstrate strong potential and relevant capabilities.