Data Engineer, Vagaro
$135-150k
+ Annual Bonus: Up to 10%
More information about location
5+ days a week in office (Pleasanton, CA)
Business management software for salons, spas, and fitness studios
Be an early applicant
Business management software for salons, spas, and fitness studios
501-1000 employees
Be an early applicant
$135-150k
+ Annual Bonus: Up to 10%
More information about location
5+ days a week in office (Pleasanton, CA)
501-1000 employees
Company mission
To help small businesses and independent service professionals reach their objectives by bringing technology solutions that foster growth.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
For over a decade, Vagaro has been providing salons, spas, and fitness studios with a full suite of business management and payment processing tools, including payroll, payments, bookings, and marketing. Hitting Unicorn status back in late 2021, there has been surprisingly little fanfare around the company, which crept up on the market to secure an international footprint across the UK, US, Australia, and Canadian markets.
Benefitting from an upswing in business during the pandemic, when its salon and fitness clientele were obliged to double down on digital transformation, Vagaro has won the trust of a strong and extensive roster of independent professionals. In a time of crisis, the sector proved itself to be business-critical. This strong reputation will help ease Vagaro's planned expansion into other regional markets, as it grows its operations into the future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Dec 2018
$63m
GROWTH EQUITY VC
Total funding: $63m
Company benefits
- 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! 🏀
Company HQ
Pleasanton, CA
Leadership
Fred Helou
(Founder & CEO)Previously a Software Manager at Applied Materials, and then a Director at Novellus.
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