Senior Data Engineer

February 22

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $167.5k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Float.com

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Float. com is a resource management platform designed to assist professional services teams in planning, scheduling, and tracking projects efficiently. The platform offers features such as capacity management, project scheduling, budget forecasting, and time tracking. With real-time dynamic updates, it enables users to reallocate resources, manage access roles, track time and spending, and generate insightful reports. Float is used by over 4,500 teams, helping them make better planning decisions, monitor budgets, and optimize team performance.

saas • workload management • resource scheduling • resource management • capacity planning

11 - 50 employees

☁️ SaaS

⚡ Productivity

🏢 Enterprise

📋 Description

• Who We Are • Float is the leading resource management software for professional services teams. • We’re a certified B Corporation committed to making a positive impact. • You’ll collaborate with teammates across Australia, Mexico, the UK, Nigeria, Canada, and the US. • We’re seeking people who thrive in the scale-up stage. • We're integrating AI-driven pattern detection into Float, starting with our Resource Recommendation Engine. • You will be a key part of our Intelligence Squad, working alongside a technical product manager and other team members. • A rare opportunity to shape a new capability at Float, lead discussions, and impact product and business strategy. • You’ll work asynchronously with a dedicated team from around the globe. • Maintain best practices and mentor team members on optimization, AI, and data engineering concepts. • Pay for this role is US $167,471 (Level 3).

🎯 Requirements

• Machine Learning & Algorithms: Expertise in ML, expert systems, and advanced algorithms (e.g., pattern matching, optimization) with applied experience in Scheduling, Recommendations, or Personalization. • Programming: Proficient in Python or Java and comfortable with SQL and Javascript/Typescript. • Data Engineering: Experience with large-scale data pipelines and stream processing (e.g., Kafka, Debezium, Flink). • Data Governance: Skilled in data integration, cleaning, and validation. • Databases: Familiar with vector and graph databases (e.g., Neo4j). • Independent Decision-Making: Knows when to act independently and when to seek input. • Written Communication: Clear documentation and collaboration in a global team. • Problem-Solving Skills: Balances immediate needs with long-term extensibility. • Team Engagement: Actively collaborates to improve processes and achieve shared goals. • Continuous Growth: Self-motivated, adaptable, and eager to take on challenges.