Data Engineer

Vagaro is hiring a Data Engineer to support its Data Science, Machine Learning, and Business Intelligence teams. The role focuses on building and maintaining scalable enterprise data architectures on Microsoft Fabric, developing ETL/ELT pipelines, establishing data governance, and enabling analytics and machine learning initiatives.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest, transform, and store data from a variety of internal and external data sources
• Optimize data pipelines for performance, scalability, reliability, and cost efficiency
• Monitor, troubleshoot, and resolve data pipeline failures and performance issues
• Develop reusable Python libraries and frameworks to standardize data engineering solutions
• Build and maintain CI/CD pipelines to automate deployment, testing, and release processes
• Experience integrating with REST APIs to ingest, transform, and process data from external systems
• Design, implement, and maintain enterprise data solutions using the Microsoft Fabric platform
• Build and optimize Fabric Warehouses, Lakehouses, Semantic Models, and Data Pipelines
• Define enterprise Fabric architecture, workspace strategy, security model, and governance standards
• Manage Fabric capacities, optimize compute utilization, and monitor platform health and performance
• Lead capacity planning, workload isolation, reservation management, and cost optimization across Business Intelligence, Data Engineering, and Machine Learning workloads
• Implement monitoring, alerting, logging, and operational best practices for Fabric environments
• Design and maintain scalable data models and enterprise data architectures
• Implement data governance, security, lineage, and metadata management best practices
• Ensure data quality, integrity, availability, and compliance across all data platforms
• Maintain comprehensive documentation for data pipelines, architectures, standards, and operational procedures
• Partner with Data Scientists and Machine Learning engineers to provide reliable data infrastructure for model training and deployment
• Collaborate with Business Intelligence teams to ensure timely and reliable data availability for reporting, dashboards, and analytics
• Work closely with business stakeholders, analysts, and software engineers to understand requirements and deliver scalable data solutions
• Evaluate emerging technologies and recommend improvements to the data platform
• Continuously improve data engineering processes, automation, and operational efficiency
• Participate in architecture reviews, code reviews, and mentoring to promote engineering best practices

Preferred

• Experience with Azure DevOps or GitHub Actions
• Experience with Docker and Kubernetes
• Experience implementing monitoring, observability, and alerting for enterprise data platforms
• Azure DevOps
• GitHub Actions
• Docker
• Kubernetes
• Monitoring implementation
• Observability implementation
• Alerting implementation
• Enterprise data platforms

Benefits

• Opportunities for professional development and career advancement
• Annual performance-based bonuses, up to 10%
• 15 accrued PTO days
• 10 company holidays annually
• Comprehensive healthcare, dental, and vision plans for you and your family
• Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork
• $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments
• $50 monthly stipend for the onsite microkitchen
• Complimentary DoorDash DashPass subscription
• College Assistance Reimbursement
• Access to EAP & Work/Life Programs
• A LinkedIn Learning account
• 401k program with 4% matching
• Optional life/supplemental insurance
• Access to the on-site gym
• Access to a flavored water dispenser
• Access to a basketball court

Company

• Salon, spa, and fitness business management software platform
• Pleasanton, California, USA
• https://sales.vagaro.com/
• Founded in 2009
• 201-500 employees

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field
• 3-5 years of experience as a Data Engineer or similar role
• Experience designing and maintaining enterprise-scale ETL/ELT solutions
• Hands-on experience with Microsoft Fabric, including data migration projects
• Strong experience with relational and NoSQL databases
• Experience building modern cloud-based data platforms in Azure (AWS or GCP experience is also beneficial)
• Experience with DevOps practices, CI/CD pipelines, and Infrastructure as Code
• Expert-level SQL
• Strong Python development skills
• Experience with:
• PySpark
• Pandas
• Spark
• Strong understanding of data modeling, dimensional modeling, and schema design
• Experience working with:
• SQL Server
• NoSQL (MongoDB, Elasticsearch, etc.)
• Azure Data Lake Storage
• Delta Lake
• Parquet
• Familiarity with REST APIs and data integration patterns
• Experience working with large-scale structured and semi-structured datasets
• Excellent analytical and problem-solving abilities
• Strong communication and collaboration skills
• Ability to work independently while collaborating across multiple teams
• Strong attention to detail and commitment to data quality
• Experience with Azure DevOps or GitHub Actions
• Experience with Docker and Kubernetes
• Experience implementing monitoring, observability, and alerting for enterprise data platforms
• 3-5 years of experience as a Data Engineer or similar role.

Required skills

• Microsoft Fabric, ETL/ELT Pipeline Development, SQL, Python, PySpark, Data Modeling, Azure, SQL Server, Azure Data Lake Storage, Delta Lake, CI/CD Pipelines, REST APIs

Preferred skills

• Experience with Azure DevOps or GitHub Actions, Experience with Docker and Kubernetes

Experience

• 3+ years