{"schemaVersion":"jobsearcher.job.v1","id":"ec7b90681176f930760ffdce","url":"https://jobsearcher.com/jobs/ec7b90681176f930760ffdce","canonicalUrl":"https://jobsearcher.com/jobs/ec7b90681176f930760ffdce","title":"Data Engineer, Cloud & Python","description":"Why Vagaro? At Vagaro, we believe in fostering a collaborative and inclusive work environment where every team member can thrive. Our culture is built on innovation, continuous learning, and a passion for making a positive impact. We support our employees' growth and vision for themselves, offering opportunities for professional development and career advancement. Join us and be part of a team that values creativity, teamwork, and a commitment to excellence. Plus, we know how to have fun while getting the job done!\nAbout the Role: Vagaro is seeking a talented Data Engineer to join our dynamic team and work closely with our Machine Learning and Business Intelligence teams to build robust data solutions. As a data engineer at Vagaro, you will play a crucial role in migrating data from traditional data warehouses to Microsoft Fabric. You will be responsible for building and maintaining data pipelines, ensuring data quality, and enabling seamless data integration across various platforms. Your work will directly support our Machine Learning and Business Intelligence teams, helping them to derive actionable insights and drive business decisions.\n*This is an onsite position based in Pleasanton, CA.*\nCompensation:\nBase Annual Salary: $100,000 - $150,000\nAnnual Bonus: Up to 10%\nYour Impact:\nData Migration:\nLead the migration of data from traditional data warehouses to Microsoft Fabric.\nDesign and implement data models and schemas in Microsoft Fabric.\nEnsure data integrity and consistency during the migration process.\nPipeline Development:\nBuild and maintain ETL/ELT pipelines to ingest, process, and store data from various sources.\nOptimize data pipelines for performance, scalability, and reliability.\nMonitor and troubleshoot data pipeline issues to ensure smooth operation.\nCollaboration:\nWork closely with the Machine Learning team to provide the necessary data infrastructure for model training and deployment.\nCollaborate with the Business Intelligence team to ensure data availability and accessibility for reporting and visualization.\nPartner with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.\nData Management:\nImplement data governance and best practices for data management.\nEnsure data quality, accuracy, and security across all data platforms.\nMaintain comprehensive documentation of data pipelines, processes, and architectures.\nContinuous Improvement:\nStay up-to-date with the latest industry trends and technologies in data engineering.\nPropose and implement improvements to existing data infrastructure and processes.\nParticipate in code reviews and contribute to a culture of continuous learning and improvement.\nWhat You Bring:\n\nBachelor's or Master's degree in Computer Science, Information Technology, or a related field.\n3- 4 years of professional experience as a Data Engineer or in a similar role.\nHands-on experience with data migration projects, preferably to Microsoft Fabric.\nStrong experience with ETL/ELT tools and processes.\nProficiency in SQL and experience with data modeling and schema design.\nExperience with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.\nStrong programming skills in languages such as Python, Java, or Scala.\nFamiliarity with machine learning concepts and tools.\nExperience with data visualization tools, particularly PowerBI.\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills.\nExperience with Microsoft Fabric and its ecosystem (preferred).\nKnowledge of data governance and data security best practices (preferred).\nExperience with containerization and orchestration tools (e.g., Docker, Kubernetes) (preferred).\nWhy You'll Love Working Here:\nAttractive Compensation & Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses\nGenerous PTO: 15 accrued days, plus 10 company holidays annually.\nHealth & Wellness: Comprehensive healthcare, dental, and vision plans for you and your family.\nExclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork.\nBeauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments.\nFood Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription.\nGrowth Opportunities: College Assistance Reimbursement, access to EAP & Work/Life Programs, and a LinkedIn Learning account to master new skills.\nFinancial Security: 401k program with 4% matching and optional life/supplemental insurance.\nStay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized!\nEqual Opportunity Employer:\nVagaro is proud to be an Equal Employment Opportunity and affirmative action employer. We foster an inclusive environment where individuals are evaluated without discrimination based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or any other characteristics protected by law.\nPrivacy Policy:\nYour privacy matters! At Vagaro, we are committed to protecting your personal information. Before proceeding with your application, please review our Employee and Applicant Privacy Notice here (https://www.vagaro.com/pro/vagaro-employee-and-applicant-privacy-notice). By submitting your application, you acknowledge that you have read and understood our Privacy Notice, which outlines how we collect, use, disclose, and protect your information during the recruitment and employment process.\nLearn More About Vagaro:\nVisit us at vagaro.com/pro (https://www.vagaro.com/pro) and vagaro.com (https://www.vagaro.com/) to learn more.","company":"Vagaro","rawCompany":"vagaro","city":"Pleasanton","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T18:37:56.169Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer, Cloud & Python","description":"Why Vagaro? At Vagaro, we believe in fostering a collaborative and inclusive work environment where every team member can thrive. Our culture is built on innovation, continuous learning, and a passion for making a positive impact. We support our employees' growth and vision for themselves, offering opportunities for professional development and career advancement. Join us and be part of a team that values creativity, teamwork, and a commitment to excellence. Plus, we know how to have fun while getting the job done!\nAbout the Role: Vagaro is seeking a talented Data Engineer to join our dynamic team and work closely with our Machine Learning and Business Intelligence teams to build robust data solutions. As a data engineer at Vagaro, you will play a crucial role in migrating data from traditional data warehouses to Microsoft Fabric. You will be responsible for building and maintaining data pipelines, ensuring data quality, and enabling seamless data integration across various platforms. Your work will directly support our Machine Learning and Business Intelligence teams, helping them to derive actionable insights and drive business decisions.\n*This is an onsite position based in Pleasanton, CA.*\nCompensation:\nBase Annual Salary: $100,000 - $150,000\nAnnual Bonus: Up to 10%\nYour Impact:\nData Migration:\nLead the migration of data from traditional data warehouses to Microsoft Fabric.\nDesign and implement data models and schemas in Microsoft Fabric.\nEnsure data integrity and consistency during the migration process.\nPipeline Development:\nBuild and maintain ETL/ELT pipelines to ingest, process, and store data from various sources.\nOptimize data pipelines for performance, scalability, and reliability.\nMonitor and troubleshoot data pipeline issues to ensure smooth operation.\nCollaboration:\nWork closely with the Machine Learning team to provide the necessary data infrastructure for model training and deployment.\nCollaborate with the Business Intelligence team to ensure data availability and accessibility for reporting and visualization.\nPartner with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions.\nData Management:\nImplement data governance and best practices for data management.\nEnsure data quality, accuracy, and security across all data platforms.\nMaintain comprehensive documentation of data pipelines, processes, and architectures.\nContinuous Improvement:\nStay up-to-date with the latest industry trends and technologies in data engineering.\nPropose and implement improvements to existing data infrastructure and processes.\nParticipate in code reviews and contribute to a culture of continuous learning and improvement.\nWhat You Bring:\n\nBachelor's or Master's degree in Computer Science, Information Technology, or a related field.\n3- 4 years of professional experience as a Data Engineer or in a similar role.\nHands-on experience with data migration projects, preferably to Microsoft Fabric.\nStrong experience with ETL/ELT tools and processes.\nProficiency in SQL and experience with data modeling and schema design.\nExperience with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.\nStrong programming skills in languages such as Python, Java, or Scala.\nFamiliarity with machine learning concepts and tools.\nExperience with data visualization tools, particularly PowerBI.\nExcellent problem-solving skills and attention to detail.\nStrong communication and collaboration skills.\nExperience with Microsoft Fabric and its ecosystem (preferred).\nKnowledge of data governance and data security best practices (preferred).\nExperience with containerization and orchestration tools (e.g., Docker, Kubernetes) (preferred).\nWhy You'll Love Working Here:\nAttractive Compensation & Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses\nGenerous PTO: 15 accrued days, plus 10 company holidays annually.\nHealth & Wellness: Comprehensive healthcare, dental, and vision plans for you and your family.\nExclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork.\nBeauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments.\nFood Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription.\nGrowth Opportunities: College Assistance Reimbursement, access to EAP & Work/Life Programs, and a LinkedIn Learning account to master new skills.\nFinancial Security: 401k program with 4% matching and optional life/supplemental insurance.\nStay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized!\nEqual Opportunity Employer:\nVagaro is proud to be an Equal Employment Opportunity and affirmative action employer. We foster an inclusive environment where individuals are evaluated without discrimination based on gender, race, ethnicity, age, disability, religion, sexual orientation, gender identity, veteran status, or any other characteristics protected by law.\nPrivacy Policy:\nYour privacy matters! At Vagaro, we are committed to protecting your personal information. Before proceeding with your application, please review our Employee and Applicant Privacy Notice here (https://www.vagaro.com/pro/vagaro-employee-and-applicant-privacy-notice). By submitting your application, you acknowledge that you have read and understood our Privacy Notice, which outlines how we collect, use, disclose, and protect your information during the recruitment and employment process.\nLearn More About Vagaro:\nVisit us at vagaro.com/pro (https://www.vagaro.com/pro) and vagaro.com (https://www.vagaro.com/) to learn more.","datePosted":"2026-04-12T18:37:56.169Z","dateModified":"2026-04-12T18:37:56.169Z","hiringOrganization":{"@type":"Organization","name":"Vagaro","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pleasanton","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec7b90681176f930760ffdce"},"url":"https://jobsearcher.com/jobs/ec7b90681176f930760ffdce"}}