Who we are

Float.com is the #1 solution for profitable resource management. Used by 4500+ of the best professional services teams globally, it gives Operations and Finance leaders the insight and foresight they need to achieve profitable delivery at scale, with the right talent in place.

Unlike disconnected spreadsheets or complex PSAs, Float offers a single, clear source of truth to plan, resource, and report on client work. With its robust scheduling interface, accurate forecasting, and built-in financial insights, it enables the world’s top teams—Ogilvy, Deloitte, KPMG, and M&C Saatchi—to keep their people and profit on track.

Since 2012, we’ve grown every year—independently, self-funded, and profitably. As a certified B Corporation, we’re committed to making a positive impact on our team, customers, the environment, and the remote community. Our 60+ person team works 100% remotely across the globe, with perks and benefits designed to support us in living our Best Work Life. You'll collaborate with teammates across Australia, Mexico, the UK, Nigeria, Canada, and the US. Browse our blog to 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.

Why we're hiring for this role

Our customer base continues to grow (🎉!), and with that growth comes the need for stronger data infrastructure to support our platform and strategic goals. This is a new role, and it sits at the intersection of engineering and data. This role will bring expertise to help us improve data quality, scale critical CDC pipelines, and unlock efficiencies across our systems. You’ll partner closely with folks from our Engineering, Analytics, and Intelligence teams to ensure we’re not just collecting the right data, but using it to power smarter decisions and better outcomes.

We’ve already built strong foundations across product and analytics, but platform-focused data engineering is the missing link. This hire will enable new workstreams tied directly to our 2026 Strategy—like preparing for AI/RRE and building the next evolution of our reporting platform. If you’re excited to work across teams, improve data quality at scale, and build infrastructure that helps us (and our customers) grow confidently, we’d love to meet you!

In this role, you’d be reporting to Roberto, our Senior Staff Engineer (Architecture). In this video, Roberto explains the important role you will play within our Data team.Check it out!

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.

What you'll be responsible for

Early on, you’ll jump right into:

• Data ecosystem onboarding: Get familiar with how our services, databases, and data warehouse are structured and interact.
• Data quality contribution: Start contributing to data quality initiatives like the Talent Graph (our version of a knowledge graph, mapping relationships between projects in Float with people and their attributes). Your focus will be on making our data more accurate, actionable, and future-ready.
• CDC initiative support: Join CDC-related efforts including real-time transformations and implementing Data Contracts for improved consistency and maintainability.

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

• CDC ownership and evolution: Take the lead on CDC-related initiatives, contributing to long-term planning and system resilience across our platform.
• Platform-driven data quality leadership: Own data quality initiatives from the platform side, introducing observability, reducing regressions, and improving trust in downstream data.
• Data warehouse maintenance and support: Help maintain and evolve our analytics data warehouse, supporting migrations and performance improvements in collaboration with the Data team.
• Architectural improvement proposals: Identify and drive improvements to our data architecture, focusing on scalability, consistency, and future platform needs.

What you'll need to be successful

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

• CDC & event-driven architecture expertise: Deep experience with tools like Debezium, Kafka, and Data Contracts in production environments.
• Strong data infrastructure skills: Comfortable with schema evolution, backfilling, pipeline reliability, and improving system-level data quality across a range of database paradigms (e.g. columnar, graph, and more).
• Autonomous technical leadership: You can frame problems, propose solutions, and lead implementation without close supervision, and can do so effectively in a remote, async-first setting.
• Cross-functional collaboration: You love working closely with other engineering and data teams to align on goals and unblock dependencies.
• Clear written communication: You document your thinking (design notes, runbooks, specs) and share progress proactively in an async environment.
• Experience with our toolstack: Hands-on experience with modern data and platform tools like TypeScript services, Kafka, Debezium, cloud-managed databases (e.g. MySQL, MongoDB, Neo4j), GCP infrastructure, containerized services, Kubernetes, CI/CD pipelines, and monitoring or alerting tools.

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 worry—you will have significant deep work time since we have very few meetings.

Why Join Us

Pay for this role is US $169,442 (Level 3). Here’s a blog post with more information on how we determine our salaries.

We’re a global async remote company with 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 Handbook publicly so potential new team members can see first hand our perks & benefits as 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.

Hiring Process For This Role

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:

Application (3 questions): We’ll ask you three short questions to understand why this role sparked your interest and learn more about your relevant experience. These questions carry a lot of weight in our process, so take your time to answer them thoughtfully. A few days to reflect and write a strong response beats a rushed, cookie-cutter one every time.

Initial Meet (20 min): You'll meet with Julia, our Talent Manager (👋 hi, that’s me!), to chat about your interest in the role and talk through any questions you have about working at Float.

Manager interview (1 hour): You’ll meet with Roberto, (Senior Staff Engineer), and Sameet (Senior Application Engineer) to discuss how would you contribute to Float and learn more about your professional experience.

Take-home assignment (2 hours, paid): You’ll be sent a take-home assignment to complete on your own time (but we estimate it taking up to 2 hours). You’ll be paid an honorarium for your time.

Co-Worker Interview (45 min): You’ll meet with Omar, (Services Team Lead), and Davi (Senior Data Engineer) to dive deeper into your skills and experience.

Founder Interview (30 min): You’ll meet with Lars, our CTO, to get to know you and see if you have potential to be a great addition to the team.

Using AI? A Quick Note.

We know that tools like ChatGPT are part of how many of us work today (us too!). Feel free to use AI to support your writing, but don’t let it do the talking for you. We read every application carefully, and it’s easy to spot when something's been fully copy-pasted. Help us get to know the real you!

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 boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.