Senior Data Infrastructure Engineer

🔥 3 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

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10Beauty

WebsiteLinkedInAll Job Openings

11 - 50 employees

💄 Beauty

🔧 Hardware

🤝 B2B

Beauty • Hardware • B2B

10Beauty is an innovative company revolutionizing the nail care industry with its fully automated manicure machine, known as "The 10. " This device provides a comprehensive 5-step manicure process, including nail polish removal, cuticle management, nail shaping and filing, polish application, and drying, without the need for human intervention. Each manicure utilizes a single-use pod and can be customized via a mobile app, making it ideal for salons looking to enhance customer convenience and profits. With significant interest from salon-goers for in-hair salon manicures, 10Beauty positions itself at the forefront of the $11 billion nail care industry as the first and only provider of autonomous manicure technology. The company aims to transform beauty with smart technology, offering salons a chance to turn nail care into a profitable venture.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• Equity and benefits for all full-time employees