10Beauty is a robotics startup based in Burlington, MA. We have raised $70M from some of the leading venture and celebrity investors in the country to build the world’s first fully autonomous manicure machine. We have pre-sold our first 1,000 machines to some of the most iconic brands in America, including Ulta Beauty and Nordstrom.
As of November 2025, we have launched our first robot at Ulta Beauty in Everett. We are a fast growing 50+ person organization with deep robotics experience. Come join the company who will put 'beauty robotics' on the map!
Introduction
We are seeking a Senior Data Infrastructure Engineer to own the design and development of scalable data infrastructure, ETL pipelines, and warehouse architecture that power analytics, operational reporting, machine insights, and future AI/ML initiatives. You will work cross-functionally with software, robotics, operations, and product teams to ensure data is reliable, accessible, and actionable across the organization.
This is a highly impactful opportunity for someone who enjoys building systems from the ground up and wants significant ownership over the future of data architecture at a fast-growing startup. As our first hire in this realm, you will play a foundational role in shaping how data flows throughout the organization while working on cutting-edge autonomous robotic technology generating real-world operational data.
If you thrive in fast-paced environments, enjoy solving complex infrastructure challenges, and want direct impact on company-wide decision making, this is an opportunity to help define and scale the future of our data platform.
What You'll Do
- Design, build, and maintain scalable ETL/ELT pipelines that ingest and process large volumes of operational and machine-generated data
- Architect and manage the company’s data warehouse and overall data infrastructure strategy
- Develop reliable systems for data collection, transformation, storage, and retrieval
- Create scalable data models that support analytics, business intelligence, operational monitoring, and future machine learning applications
- Partner closely with software, robotics, product, and operations teams to define data requirements and improve data accessibility
- Implement data quality, governance, observability, and monitoring processes to ensure data integrity and reliability
- Optimize database and warehouse performance, scalability, and cost efficiency
- Build tools and infrastructure to support reporting, dashboards, and internal analytics workflows
- Help establish best practices around data architecture, pipeline reliability, documentation, and engineering standards
- Support future real-time and streaming data initiatives across connected robotic systems
What You have:
- 5+ years of experience in data engineering, data infrastructure, or backend infrastructure engineering roles
- Strong experience designing and building ETL/ELT pipelines in production environments
- Deep understanding of modern data warehouse architecture and data modeling principles
- Strong programming experience in Python, SQL, and/or other backend-oriented languages
- Experience working with cloud-based data platforms and infrastructure (AWS, GCP, or Azure)
- Experience with technologies such as Snowflake, Redshift, BigQuery, Databricks, Kafka, Airflow, dbt, or similar modern data stack tools
- Strong understanding of database design, query optimization, and distributed data systems
- Experience handling large-scale, high-volume datasets from connected devices, IoT systems, or operational platforms is a plus
- Ability to operate independently and drive technical architecture decisions
- Strong communication and collaboration skills in cross-functional environments
At 10Beauty, we consider a wide-range of factors when determining compensation, based on individual qualifications, skills, and experience. Equity and benefits are included for all full-time employees. If you believe you can contribute to our team, we invite you to apply. We appreciate diversity and welcome those who can bring fresh perspectives and skills to our team.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Thank you for considering 10Beauty!Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
