Senior Data and Analytics Engineer

Who We Are

Float is the world’s leading software for teams to plan their time. Launched in 2012, we’ve grown every year since, and remain proudly independent, self-funded and profitable. As a certified B Corporation, we’re committed to making a positive contribution to our team, customers, the environment, and the remote community. We’re a team of 50 working 100% remotely who believe in living our Best Work Life. You’ll. partner with team members globally, including Australia, Mexico, Italy, Nigeria, Canada, and the USA. Hear what our team has to say by browsing our blog, or reading our Glassdoor reviews. Check out what our customers think of Float from our G2 reviews.

We’re on a scale up journey, and we’re seeking people who thrive in this stage, given the autonomy, and the opportunity, to do the best work of their career.

Why We’re Hiring For This Role

We're dedicated to data being a core part of our culture for driving decision-making across the business. We’re looking for a Data and Analytics Engineer to enhance our data infrastructure and support our next stage of growth. With 4,500+ of the world’s top teams and a growing 100,000+ user base, strong data foundations are crucial to achieving our company goals.

You’ll join our growth team and report to Andrew, our Growth Partner. You’ll shape our data strategy, improve our product analytics, enhance revenue attribution, and support our experimentation efforts. Your contributions will be essential in helping Float achieve its business objectives and pushing boundaries that advance our data analytics capabilities to drive success.

Our Growth Partner, Andrew, explains your important role in our Marketing 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.

What You’ll Be Responsible For

You’ll play a crucial role in leading the data infrastructure and operations that sets the business up for long-term growth.

In the first month, you'll:

• Get a high-level understanding of our data analytics platform and its different parts. You’ll work closely with Andrew and partner with Roberto in our engineering team.
• Take ownership of our data platform, and be the SME (Subject Matter Expert) of its daily operations. This includes learning how to manage and monitor the platform, ensuring smooth and efficient performance, and troubleshooting any issues that arise.
• Ship your first data stack improvement. We’re big believers in setting new hires up with early wins to build confidence and rapport in your role. This could involve optimizing existing data pipelines or introducing a new tool or process to enhance our data operations.

Once you are a bit more settled, within the first 3 months, you'll start to work on:

• Define a product analytics tracking plan to enable self-serve analytics. You’ll partner closely with our Director of Product, Michael, and product managers to understand their needs and create a comprehensive tracking strategy that empowers the team with actionable insights.
• Manage the technical implementation of the tracking plan. This involves collaborating with engineering to ensure accurate data collection and integration within our analytics platform.
• Design, build, and maintain data pipelines and ETL processes. You’ll ensure that data flows efficiently from various sources into our data warehouse, and is transformed and stored in a way that is accessible and useful for analysis.
• Ensure data quality and integrity through robust data governance practices. This includes setting up data validation checks, maintaining documentation, and promoting best practices within the team.
• Set up advanced trial to customer conversion attribution. You’ll partner with Andrew to redefine our attribution modeling strategy, implementing advanced techniques to accurately track and analyze customer conversions, and providing insights that will drive our growth strategy.

We want Float to be where you do the best work of your career so far. Post onboarding, once you’re settled in more into your role, you’ll:

• Establish an Account Based Revenue attribution model.
• Implement the tooling and reporting needed to drive our experimentation culture.
• Lead documentation practices and data governance protocols.
• Support the integration of new tools for growth such as Clay and enrichment services for automation and personalization.

Within your first 12 months, you'll become our go-to expert for maintaining and operating our data platform. You'll play a key role in long-term projects impacting our data infrastructure and future investments. Working closely with the engineering and product teams, you'll shape our data strategy, including integrating AI and business intelligence into Float. As our first data and analytics engineer hire, you'll set up our data and analytics for long-term success, determining our data infrastructure, tool stack, and identifying new roles to support our growth objectives.

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:

• 5+ years in data analytics engineering, preferably in a B2B SaaS environment.
• Proficiency in SQL and at least one mainstream programming language.
• You have helped define the architecture, data modeling, tooling, and strategy for a large-scale data processing system, data lakes or warehouses.
• Experience with data integration, ETL processes, and large-scale data processing systems.
• Strong problem-solving, analytical, and communication skills.
• Ability to work collaboratively in a fast-paced, remote environment.
• Knowledge of data governance and documentation practices.
• Background in marketing analytics or product analytics.
• Familiarity with analytics tools like Posthog, Metabase, Segment, BigQuery, Hightouch, and Amplitude.
• Experience with automation tools like Clay and enrichment services is a plus.

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

You're a talented Data Engineer who thrives on tackling complex data challenges and building robust systems that drive business success. You are passionate about creating a data-driven culture and excited about the opportunity to shape our data strategy and infrastructure.

As our first Data Analytics Engineer hire, you’ll have the opportunity to:

• Lead critical projects: You’ll design and implement data processes that form the backbone of our data operations.
• Innovate and influence: Work with cutting-edge tools and technologies to create a reliable and scalable data platform.
• Collaborate and grow: Partner with cross-functional teams to deliver actionable insights and drive business decisions.
• Make an impact: Directly contribute to enhancing our product analytics and improving revenue attribution.

Pay for this role is US $155,800 (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:

• Initial First Meet (15 min): You'll meet with Linda or Julia in Talent to discuss your interest in the role and review your questions about working at Float.
• Manager Interview (45 min): You’ll meet with Andrew, Growth Partner, to discuss the role and what your experience will add to the team.
• Take Home Task: You'll complete a technical task to evaluate your analytical, technical, and presentation capabilities.
• Co-Worker Task Review (30 min): You’ll meet with Andrew (Growth Partner), Jasmin (UX Researcher), and Roberto (Staff Engineer) to dive deeper into your take-home task.
• Founder Interview (30 min): You’ll meet with Glenn, Float’s CEO, 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 boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.