What you'll Be Doing: Vagaro is seeking a skilled Data Engineer to join our dynamic team and partner with our Data Science, Machine Learning, and Business Intelligence teams to build enterprise-grade data solutions. As a Data Engineer at Vagaro, you will play a critical role in designing and maintaining scalable data architectures on the Microsoft Fabric platform. You will lead the design and optimization of ETL/ELT pipelines, establish data governance standards, and ensure seamless data integration across multiple platforms and data sources. Your expertise will directly enable our teams to deliver reliable, high-performance data infrastructure that supports real-time analytics, machine learning model training, and business intelligence initiatives.
*This role is based onsite in Pleasanton, CA Monday through Friday*
Compensation - Base Annual Salary: $135,000 to $150,000
- Annual Bonus: Up to 10%
Your Impact: Data Pipeline Development - 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.
Microsoft Fabric Platform - 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.
Data Architecture & Management - 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.
Collaboration - 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.
Continuous Improvement - 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.
What you Bring:Education - Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related technical field.
Experience - 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.
Technical Skills - Expert-level SQL.
- Strong Python development skills.
- Experience with:
- 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.
Soft Skills - 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.
Preferred Qualifications - Experience with Azure DevOps or GitHub Actions.
- Experience with Docker and Kubernetes.
- Experience implementing monitoring, observability, and alerting for enterprise data platforms.
Why You'll Love Working Here:
- Attractive Compensation & Performance Bonuses: Enjoy a competitive salary paired with performance-based bonuses
- Generous PTO: 15 accrued days, plus 10 company holidays annually.
- Health & Wellness: Comprehensive healthcare, dental, and vision plans for you and your family.
- Exclusive Perks: Discounts on attractions, theme parks, shows, sports events, movies, hotels, and more through TicketsAtWork.
- Beauty Perks: $30/month reimbursement for any Vagaro service, including health, beauty, or wellness treatments.
- Food Perks: $50 monthly stipend for our onsite microkitchen and a complimentary DoorDash DashPass subscription.
- Growth Opportunities: College Assistance Reimbursement, access to EAP & Work/Life Programs, and a LinkedIn Learning account.
- Financial Security: 401k program with 4% matching and optional life/supplemental insurance.
- Stay Active: Access to our on-site gym, flavored water dispenser, and basketball court to keep you fit and energized!
