Senior Data Infrastructure Engineer

10Beauty

Senior Data Infrastructure Engineer at 10Beauty building scalable data infrastructure for analytics, reporting, and future AI/ML initiatives. Collaborating across teams to ensure data reliability and accessibility.

Posted 6/3/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesSenior💰 $140,000 - $160,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformIoTKafkaPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Equity and benefits for all full-time employees

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLELTdata modelingPythonSQLcloud-based data platformsdatabase designquery optimizationdata architecturedata governance

Soft Skills

communicationcollaborationindependencetechnical decision-making