
Connecting the world to wellness through technology
Mindbody is a leading wellness technology platform that connects over 60,000 businesses in the health and wellness industry, including fitness studios and spas, to millions of consumers. Founded in 2001 and headquartered in San Luis Obispo, California, Mindbody went public in 2015 and was acquired b...
Mindbody offers competitive salaries, equity options, unlimited PTO, and a flexible remote work policy. Employees also benefit from wellness stipends ...
Mindbody fosters a culture centered around wellness and work-life balance, encouraging employees to prioritize their health. The company values innova...

Mindbody • Brazil
Mindbody is hiring a Senior Data Engineer to shape the backbone of their data strategy by designing scalable pipelines and enabling AI-ready infrastructure. You'll work with tools like dbt, Fivetran, and Snowpipe to support analytics and decision-making. This position requires expertise in data engineering and cloud-native solutions.
You have 5+ years of experience as a Data Engineer, with a strong background in designing and implementing data pipelines that support analytics and business intelligence. Your expertise in cloud-native data warehouse solutions allows you to architect systems that are both scalable and efficient. You are well-versed in data governance and understand the importance of maintaining data quality and consistency across various platforms.
You have hands-on experience with dbt, enabling you to design and scale models across different data layers while focusing on data contracts and observability. Your familiarity with ETL and ELT processes, particularly using tools like Fivetran and Snowpipe, equips you to build robust data pipelines that support both streaming and batch processing. You thrive in cross-functional environments, collaborating with teams to drive data-driven decision-making.
You are passionate about leveraging technology to enhance user experiences and are excited about the opportunity to work in a company that values innovation and curiosity. You understand the significance of creating AI-ready infrastructure and are eager to contribute to projects that empower teams to deliver personalized experiences.
Experience with cloud platforms such as AWS or GCP is a plus, as is familiarity with data visualization tools. You are comfortable working in agile environments and have a proactive approach to problem-solving. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an invaluable team member.
In your role as a Senior Data Engineer at Mindbody, you will be responsible for shaping the data strategy by designing scalable data pipelines that support analytics and decision-making across the organization. You will lead cross-functional projects that require collaboration with various teams, ensuring that data governance and quality are maintained throughout the process.
You will architect and optimize cloud-native data warehouse solutions that enable real-time decision-making and long-term strategic planning. Your work will involve building and maintaining robust ETL and ELT pipelines using tools like Fivetran and Snowpipe, ensuring that data flows seamlessly from various sources into the data warehouse.
You will champion best practices in data governance, focusing on observability and semantic consistency in your dbt models. Your contributions will directly empower teams to create personalized, real-world experiences for millions of users, making a significant impact on the company's mission to enhance wellness through technology.
At Mindbody, we foster a culture of innovation and curiosity, encouraging you to explore new ideas and technologies. You will have the opportunity to work with a talented team dedicated to reshaping technology's role in enhancing wellness. We offer competitive compensation and benefits, along with a flexible work environment that supports your professional growth and personal well-being. Join us in making a difference in the lives of individuals and businesses alike.
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