Senior Analytics Engineer, Float
+ Equity
Corporate cards and smart spend management software
Job no longer available
Corporate cards and smart spend management software
101-200 employees
Job no longer available
+ Equity
101-200 employees
Company mission
To simplify spending so companies and teams can focus on growing their business.
Role
Who you are
- Production experience with the modern data stack: Airbyte, Fivetran, Postgres, Snowflake, dbt Cloud, and Hightouch
- Strong knowledge of SQL and data modeling principles (dimensional, star/snowflake schemas, etc.)
- Experience working with a variety of industry-standard SaaS and event-based data sources
- Familiarity with CI/CD pipelines and Git-based development workflows
- A bias for automation and building scalable, resilient systems
- Excellent communication and collaboration skills
- Experience with developing DBT models
- You’re an owner. You love a challenge, and take great satisfaction in tackling them head on. You love being a pioneer and taking on any task (big or small) and driving it through to completion. You are also comfortable making independent decisions and following your instincts to be able to move quickly
- You’re able to explain complex data in simple terms. As you'll be communicating your findings to different stakeholders, your ability to present data in an understandable way is vital
- You have solid technical skills. Strong skills in data modeling, data structures, data mining, predictive modeling and analysis tools (such as Python, SQL, DBT), and data visualization tools, are crucial. Understanding of machine learning algorithms and statistics is an asset
- You understand the business context. You'll be more effective if you understand not just how to work with data, but also why you're working with it - i.e., how it will impact the business and drive decisions
- You’re comfortable with a fast-paced environment. Float is a dynamic environment and things can change quickly. You should be flexible and able to adapt to changes as they occur
- You can balance attention to detail and strategic thinking. While it's important to delve into the details of your data, it's equally important to keep the big picture in mind
- You ruthlessly prioritize. You will have multiple responsibilities and projects. Being able to effectively manage your workload and meet deadlines is crucial
- You have an experimental mindset. The ability to design and analyze experiments will be very helpful in optimizing products and making business decisions
- You’re eager to continue your own learning. Scrappy and voracious, you want to know the ‘why’ behind every answer. You love to have healthy debates with fellow developers and colleagues about the product
What the job involves
- We’re looking for an experienced Data Engineer to play a foundational role in shaping Float's data analytics and ML capabilities, as well as help develop strategies and vision that will build our Data team to meet the future needs of Float and our customers
- Own and evolve our data ingestion and transformation pipelines
- Design and manage data warehousing solutions in Snowflake
- Build and maintain ETL and reverse-ETL workflows using tools like Hightouch, Segment, Airbyte, and custom pipelines
- Collaborate cross-functionally to integrate common industry data sources (e.g., Salesforce, Hubspot, Stripe, Zendesk, etc.)
- Drive best practices for data quality, lineage, documentation, and monitoring
- Mentor junior engineers and contribute to a culture of high standards and continuous improvement
- Your impact will be:
- Democratize access to data for all Floaters
- Enable Float’s customers to better understand their finances with accurate and timely data
- Work closely with Stakeholders, like Marketing, to ensure our team has the right data to make the best possible decisions
Our take
Traditional finance and internal expense processes are inefficient for companies. Spending on personal credit cards and filing receipts for reimbursement is a convoluted and complicated business practise. There needs to be a digital alternative to the historically laborious process of managing employee expenses.
Float is a fintech solution, built to simplify the inefficient internal expense processes. Rather than following the traditional method of spending on personal/corporate cards, filing expenses, and waiting for reimbursement - Float works by utilising technology that enables managers to allocate funds and approve expenses before purchases are made. The company also supports companies operating with remote workforces.
As the business world moves to become more international, companies will look to make their business spending as simple as possible. Float aims to develop its technology and cater to the challenge of company spending. It's $50 million C in credit financing will go some way to achieving its aims, all whilst expanding its business significantly.
Steph
Company Specialist at Welcome to the Jungle
Insights
55% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2025
$50.9m
SERIES B
Nov 2021
$26.9m
SERIES A
Total funding: $83.3m
Company benefits
- Competitive coverage of medical, dental and vision insurance for employees
- Education & learning stipend for personal growth and development
- Flexible vacation time
- Work from home stipend to help you succeed in a remote environment
Company HQ
Fashion District, Toronto, ON
Leadership
Rob Khazzam
(Co-founder & CEO)Previously worked at Uber for 5 years in international expansion and General Management in Eastern Europe and Canada. Prior to this they worked at a market private equity fund in Toronto.
Griffin Keglevich
(Co-founder)Previous Chief Engineer at Float, responsible for shipping and payments, previously worked in software engineering at KPMG and Shopify.
Ruslan Nikolaev
(Co-founder)Previous experience at WATonomous and then Uber as a Perception Engineer and at Shopify as a Data Scientist.
Salary benchmarks
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