Senior Data 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...

Position Overview:

As a Senior ETL Operations and Data Analytics Engineer, you will play a crucial role in our data-driven decision-making process. You will be responsible for designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to drive business growth.

Key Responsibilities:

• Design, develop, and maintain ETL processes to extract, transform, and load data from various sources.
• Monitor and optimize ETL workflows to ensure data quality and performance.
• Collaborate with cross-functional teams to gather and understand data requirements.
• Optimize and tune ETL processes for performance and scalability.
• Create and maintain documentation for ETL processes and data analytics solutions.
• Create and maintain data models to support reporting and analysis needs.
• Utilize expert knowledge of Go, Python, SQL, git, JSON,...