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Senior Data Infrastructure Engineer

10Beauty is a robotics startup based in Burlington, MA. We have raised $50M+ 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

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.