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Float is seeking a Senior Data Engineer to join their innovative team. Based anywhere in the world, this role will focus on developing AI-driven solutions to improve professional resource management. Float is a company that has consistently grown since its inception in 2012 and has become a trusted provider for over 4,500 customers globally. The core mission of Float is to create impactful tools that help teams optimize their resource management effectively.
Float has received accolades as the #1 resource management software on G2. They maintain a strong commitment to corporate social responsibility as a certified B Corporation, aiming to make a significant positive impact on their workforce, customers, and the environment. The company fosters a 100% remote working environment with over 50 global team members to facilitate diverse input and innovation.
The reason for hiring a Senior Data Engineer is to spearhead the integration of AI capabilities into Float’s suite of services, particularly through the development of a Resource Recommendation Engine. This initiative is designed to derive insights from historical project data, enabling better decision-making and resourcing outcomes. The ideal candidate will significantly influence both the technical discussions and the overarching product strategy. This challenging position is essential for enhancing Float's AI strategy and requires someone who is not afraid to dive deep into complex problems.
As a Senior Data Engineer at Float, you will be tasked with:
Leading discussions about the technical viability of numerous projects within the Intelligence Squad.
Developing and testing proof-of-concepts to enhance the Resource Recommendation Engine.
Conducting thorough analyses of existing data to identify patterns and areas for optimization.
Evaluating and improving Float's data streaming pipeline to ensure its efficacy and reliability.
Designing and implementing advanced algorithms that facilitate better optimization and pattern detection.
Establishing best practices for data engineering processes and mentoring other team members on critical concepts.
To be considered for this role, candidates should have:
Expertise in Machine Learning and algorithms, particularly focused on pattern matching and optimization.
Proficiency in programming languages such as Python or Java, along with familiarity in SQL and JavaScript/TypeScript.
Demonstrated experience with large-scale data pipelines and stream processing tools like Kafka or Flink.
Strong knowledge in data governance, ensuring seamless integration, cleaning, and validation of data.
Familiarity with advanced database systems including vector and graph databases like Neo4j.
Excellent problem-solving skills to balance immediate needs with long-term goals.
A collaborative mindset geared towards improving workflows in a team environment.
Exceptional written communication skills to document processes for a globally distributed team.
Float emphasizes a remote-first culture, encouraging asynchronous communication to promote productivity while minimizing meeting times. Candidates should demonstrate comfort with tools such as Slack, Loom, and Linear. The working style prioritizes deep work, allowing you to focus on developing impactful technical solutions without frequent interruptions.
The salary for the Senior Data Engineer position is set at US $167,471 at Level 3. Float prioritizes equitable compensation and provides transparent information regarding how salaries are determined, promoting a culture of trust.
The interview process designed for this role includes:
An initial meet with the Talent Manager to assess interest and address preliminary questions.
A paid take-home assignment to evaluate technical skills through real-world scenarios, followed by feedback.
Technical interviews involving senior engineering team members to discuss prior experiences in building data solutions.
Collaborative discussions with potential colleagues to gauge fit within the team structure.
A final interview with the company’s CTO and co-founder, focusing on cultural fit and potential contributions to the team.
Float encourages applicants from diverse backgrounds, particularly women and traditionally underrepresented groups, to apply even if they do not meet every qualification outlined in the job description. The company aims to foster an inclusive environment where everyone is valued for their unique perspectives and contributions.
If you are a motivated individual with a passion for data engineering and looking to lead innovative AI projects in a dynamic and supportive remote environment, the Senior Data Engineer position at Float may be the perfect fit. This role provides not just a job opportunity but a chance to help shape the future of resource management software across the globe, while working with a diverse team dedicated to achieving their best work life.
This job offer was originally published on weworkremotely.com
This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
