Senior Data Engineer

Float is the leading resource management software for professional services teams. Since 2012, we've grown every yearindependently, self-funded, and profitably. We're rated #1 for resource management on G2 and trusted by 4,500+ customers worldwide.

As a certified B Corporation, we're committed to making a positive impact on our team, customers, the environment, and the remote community. Our 50+ person team works 100% remotely across the globe, with perks and benefitsdesigned to support us in living our Best Work Life. You'll collaborate with teammates across Australia, Mexico, the UK, Nigeria, Canada, and the US. Learn more about our data security practices for employment or service contracts here. Browse our blogto get a glimpse of life at Float and check out our Glassdoor employer reviews. See why our customers love Float on G2.

We're on a scale-up journey, and we're seeking people who thrive in this stage. We want Float to be the place where you have the autonomy and opportunity to do the best work of your career.

We're taking an exciting step toward integrating AI-driven pattern detection into Float, starting with our Resource Recommendation Engine. This initiative will help professional service teams make smarter resourcing decisions by learning from past successeslike identifying which teams consistently deliver successful projectsand optimizing for better outcomes.

To bring this vision to life, we need you , a skilled Data Engineer with AI/ML expertise, to help build the foundation of this effort. You'll be a key part of our new Intelligence Squad, working alongside a technical product manager and other team members to drive the work forward. This is a rare opportunity to shape a critical new capability at Float, lead technical discussions, and have a direct impact on our product and business strategy. We're ready to elevate our AI strategy, and we need the right technical leader to make it happen. If you're excited by the challenge of building AI-powered solutions from the ground up, we'd love to hear from you!

Our Senior Staff Engineer, Roberto, explains the important role you will play within our Engineering team. Watch this video!

You'll be working asynchronously with a bright, dedicated team from across the globe, with a strong focus on taking complex problems and creating solutions that feel simple and intuitive for our customers.

Early on, you'll jump right into:

• Lead technical viability discussions: For the Intelligence squad's initial deliveries, you'll be responsible for leading discussions to learn more about the technical viability of the deliveries.
• Resource Recommendation Engine: Develop and test proof-of-concepts for this project.
• Analyse existing data: You will conduct a comprehensive analysis of existing data to uncover patterns, identify optimization opportunities, and support the squad's deliveries.
• Evaluate our data streaming pipeline: You will be responsible for implementing and maintaining any changes to it our data streaming pipeline.

Once you are a bit more settled, we expect that you will jump into the following projects:

• Lead technical discussions related to optimization, pattern detection, and AI, serving as the primary point of contact for these areas within Float.
• Develop and implement advanced algorithms to enhance the Resource Recommendation Engine and other product features, initially focused on pattern detection and optimization.
• Design, implement, and maintain our streaming data architecture to support real-time data processing and analytics, ensuring data integrity and reliability.
• Establish best practices and standards for optimization, AI, and data engineering development within the organization.
• Mentor and train team members on optimization, AI, and data engineering concepts and techniques, fostering a culture of continuous learning and innovation.
• Stay updated with the latest trends and related technologies, and proactively identify opportunities to incorporate them into Float's solutions.

We want you to love your work and believe that these skills will allow you to succeed in the role. Applying these skills requires:

• 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).
• Decision-making: Independent Decision-Making : You know when to act independently and when to seek input and you're able to balance immediate needs with long-term feasibility.
• Written Communication : Clear documentation and collaboration in a global team.
• Team Engagement : Actively collaborates to improve processes and achieve shared goals.

As a fully remote team, we're looking for someone comfortable with asynchronous communication as the default, which means you have previous remote experience and are comfortable using tools like Slack, Loom, and Linear to communicate as needed. Don't worryyou will have significant deep work time since we have very few meetings.

Pay for this role is US $167,471 (Level 3). Here's a blog postwith more information on how we determine our salaries.

We're a global async remote companywith a diverse team of people from all over the world who share a common belief in living our best work life. We believe deeply in the idea of transparency and share our Float Handbookpublicly so potential new team members can see first hand our perks & benefitsas well as our ways of working. If you feel like you can thrive at Float to do your best work, we would love to hear from you.

You'll find a lot of useful information about our interview process and what it's like to join our global team on the Float careers page. The hiring process for this role looks like this:

• Initial First Meet (20 min): You'll meet with Julia, Talent Manager (hi, that's me!), to discuss your interest in the role and review your questions about working at Float.
• Take-Home Assignment (4 hours, paid) : You'll complete a take-home technical assignment that will assess your ability to identify and communicate performance issues on a real application and suggest solutions. You will be paid an honorarium after completion of your take-home assignment, and will receive feedback on your assignment regardless of the outcome.
• Manager Interview (60 min) : Upon a successful take-home assignment, you'll meet with Roberto (Senior Staff Engineer) and Sameet (Senior Application Engineer) to discuss your technical skills and how you have built data solutions in the past.
• Co-Worker Interview (30 min): You'll meet with Christian (Services Team Lead) and Omar (Senior Application Engineer), to dive deeper into your skills and experience, and learn more about your ability to collaborate, communicate, and work cross-functionally.
• Founder Interview (30 min) : You'll meet with Lars, Float's CTO and Co-Founder, to get to know you and see if you have potential to be a great addition to the team.

Note: Industry research shows that women and those in traditionally underrepresented groups generally don't apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don't check 100% of the boxesthat's okaywe encourage you to apply anyway and highlight what you can bring to the table.