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We're revolutionizing the fitness & wellness industry, and we’re looking for talented people to help us do it. Mindbody + ClassPass bring together the best of both sides of the market: Mindbody is the industry’s most trusted all-in-one technology platform; ClassPass is one of the most popular apps for fitness & self-care enthusiasts. Together we’re partnering with more than 70,000 fitness studios, gyms, salons, and spas around the world. We’re not just another tech company—we’re far and away the leader of our industry. So join the team, work with mission-led people, and enjoy amazing benefits. Let’s see what we can accomplish together!
We’re a passionate engineering, platform, and operations team, developing and supporting ground-breaking products. Together, we’ll build for the future, creating more opportunities for wellness businesses around the world to help their customers lead full, healthy lives. We push ourselves and our company to always strive for this higher purpose, recognizing the power in working together toward the same goal. We believe in building a diverse company where everyone feels safe bringing their authentic selves to work. And we believe that the secret to success is our people. Join the team, and let’s see what we can accomplish together!
The Data Engineer III focuses on designing, implementing and supporting new and existing data solutions- data processing and data sets to support various advanced analytical needs. This role designs, builds and supports data pipelines consuming data from multiple source systems and transforms it into valuable and insightful information. The role is also responsible for creating scalable & conformed data models to support reporting and analytics functions.
• 7+ years of relevant experience in one of the following areas: Data engineering, Data Warehousing or business and data analytics, ETL/ELT Architecture.
• 5-6 years of supporting a large data platform and data pipelining.
• 5+ years of experience in scripting languages like Python, SQL and data orchestration tools like – Databricks.
• 4+ years of expertise in working with cloud-based data warehouses like Snowflake.
• Basic to intermediate knowledge and experience with AWS services (S3, Lambda, Glue, Athena, DMS etc.)
• Expertise in database design and architectural principles and methodologies
• Experienced in physical and logical data modeling.
• Technical expertise should include data models, database design and data mining
• Strong attention to detail, analytical mindset, and highly organized
• Desire to work in a fast paced, potentially ambiguous, start-up-like atmosphere
• Strong technical aptitude and demonstrated ability to quickly evaluate and learn new technologies
• Strong interpersonal skills, with the ability to work independently and within a team environment
• Design, implement, and support a platform providing access to large datasets
• Create unified enterprise data models for analytics and reporting
• Design and build robust and scalable data integration (ETL) pipelines using SQL, Python and Data Bricks.
• As part of Agile development team contribute to architecture, tools and development process improvements
• Work in close collaboration with product management, peer system and software engineering teams to clarify requirements and translate them into robust, scalable, operable solutions that work well within the overall data architecture
• Coordinate data models, data dictionaries, and other database documentation across multiple applications
• Leads design reviews of data deliverables such as models, data flows, and data quality assessments
• Promotes data modeling standardization, defines and drives adoption of the standards
• Work with Data Management to establish governance processes around metadata to ensure an integrated definition of data for enterprise information, and to ensure the accuracy, validity, and reusability of metadata
• All other duties as assigned
• Dexterity of hands and fingers to operate a computer keyboard.
• This position is mostly stationary and will be required to remain stationary for extended periods of time.
• Specific vision abilities required by this position include close vision, color vision, and the ability to adjust focus.
• The noise level in the work environment is usually moderately quiet.
SCOPE OF SUPERVISION/AUTHORITY:
Duties are performed under limited supervision. Often responsible for planning and organizing their own work, which may or may not be directly related to general business operations of the company or its customers. Will receive training and guidance from manager as needed. Individual contributors may be required to regularly exercise discretion and independent judgment with respect to matters of significance depending on the nature of the position. No direct management responsibility
Sound like the role for you? We’d love to hear from you! Even if you’re not 100% sure about potential fit, we still encourage you to apply. We’re looking for the right person, not the perfect series of checkboxes.
Mindbody is an Equal Opportunity Employer. We highly value diversity at our company and encourage people of all different backgrounds, experiences, abilities and perspectives to apply. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.
By entering your email and phone number and submitting your application, you consent to receive emails, calls and SMS about your application and other roles at Mindbody, including by auto-dialer. Message and data rates may apply. Opt-out or text STOP to cancel at any time. If you are a California resident or reside outside the United States then by submitting your application you confirm that you have read, understood, agree and - where applicable - grant your prior, free, informed and express consent for the processing of your personal information, including sensitive personal information, as described in our California Applicant Privacy Notice or International Applicant Privacy Notice (as applicable).
Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $15,000 - $25,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.