Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI across Robotics, Autonomous Vehicles, and Computer Vision. In this role, you'll be a key contributor building production systems for robotics data collection, model training pipelines, and evaluation infrastructure. You'll have the opportunity to own critical parts of our robotics platform, work directly with cutting-edge robotics and AV customers, and shape the future of embodied AI systems.

You Will:

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Build ML training and fine-tuning pipelines using Scale's robotics data
• Work across backend (Python, Node.js, C++), and frontend (React, TypeScript) stacks to build end-to-end solutions
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interact directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Design comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Solving complex, late-stage industry challenges in concurrent and real-time robotic systems, with strict attention to timing constraints and data integrity. This often involves deep investigation, reviewing academic papers, and direct collaboration with robotics vendors
• Collaborate with ML engineers and researchers to bring robotics research into production
• Deliver features at high velocity while maintaining system reliability and performance

Ideally, You Have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems.
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to Haves:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice. 

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients. 

Award-winning and people-first, SimplePractice is shaping the future of health tech.  Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In's Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

The Role

We're looking for a Senior Data Engineer to help lead the evolution of our data stack—from pipelines to platform. In this role, you'll build the infrastructure that powers everything from product intelligence to financial reporting and self-serve analytics in product

Our customers are clinicians in small to mid-sized private practices, and the data you shape will directly help them run more efficient, effective businesses. By enabling accessible insights—from no-show trends to client engagement—you’ll give practitioners the tools to make smarter, faster decisions about how they manage care.

Internally, your work will fuel everything from executive reporting and revenue forecasting to product analytics and AI evaluation loops. You’ll collaborate across Data Analytics, ML, Product, and Engineering teams to build scalable, reliable systems that make data a first-class product at SimplePractice.

Responsibilities

• Partner with Product, Analytics and Engineering to build scalable systems that help unlock the value of data from a wide range of sources such as backend databases, event streams, and marketing platforms
• Lead technical vision and architecture with holistic point of view on both short-term and long-term horizons 
• Work with analytics to create company wide alignment through standardized metrics across the company
• Work with Product and Engineering teams to support internal use cases such as financial reporting, product analytics and operational metrics
• Enable external use cases like customer-facing dashboard, self-serve analytics, and next best action in product 
• Manage the complete data stack from ingestion through data consumption
• Build tools to increase transparency in reporting company wide business outcomes
• Work with DevOps to deploy and maintain data solutions leveraging cloud data technologies, preferably in AWS
• Help define data quality and data security framework to measure and monitor data quality across the enterprise. Define and promote data engineering best practice

Desired Skills & Experience

• Education & Experience
  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments
• Data Engineering & Pipelines
  • Enterprise architecture and enterprise data architecture (data modeling and enterprise dimensional modeling)
  • Expert in SQL and data modeling (relational, dimensional, semantic)
  • Proven experience in data warehouse design, implementation, and maintenance (Snowflake)
  • Hands-on with DBT for modular, testable transformations
  • Experience with orchestration and ingestion tools: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, and performance optimization
• Cloud & Infrastructure
  • Experience with AWS (S3, RDS, Redshift, etc.)
  • Familiar with Terraform, Docker, and containerized workflows (bonus)
  • Skilled in handling structured, semi-structured (e.g., JSON), and columnar formats (e.g., Parquet, ORC)
• Analytics & Enablement
  • Experience building and supporting semantic layers for self-serve analytics
  • Proficient with BI tools like Looker, Tableau, or Sisense
  • Comfortable standardizing metrics and enabling trusted, consistent access to data
• Programming & Scripting
  • Proficient in Python and Unix/Linux scripting
  • Comfortable working with APIs (e.g., using curl)

Bonus Points

• AWS DevOps - Terraform, Kubernetes, Docker
• Project & Change Management skills especially experience working in an Agile (SCRUM, Kanban) environment/team focusing on sprint by sprint deliveries
• Real-time ETL - Kafka streaming, AWS Kinesis

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend 
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city 
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice. 

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Sobre Nosotros

SimplePractice tiene su sede en Los Ángeles, California, pero contamos con miembros del equipo que viven y trabajan en Estados Unidos, República Dominicana, Ciudad de México y Ucrania.

En SimplePractice, trabajamos para mejorar el acceso a una atención de calidad, brindando  a los profesionales de la salud y el bienestar todas las herramientas que necesitan para prosperar en la práctica privada.

Más de 250,000 proveedores confían en SimplePractice para desarrollar su negocio con nuestro software líder en la industria, que ofrece potentes herramientas que simplifican cada aspecto de la gestión de la práctica. Desde las tareas administrativas hasta la atención clínica, nuestro conjunto de soluciones innovadoras trabaja de manera integrada para reducir la carga administrativa, permitiendo a los profesionales, tanto individuales como en pequeños grupos, prosperar junto con sus clientes.

Ganador de premios y centrado en las personas, SimplePractice está dando forma al futuro de la tecnología de la salud. Reconocido por MedTech Breakthrough y los Premios de Salud Digital, y como uno de los Mejores Lugares para Programar en México y uno de los Mejores Lugares para Trabajar según BuiltIn.

Nuestra Cultura

En SimplePractice, la cultura es nuestra base. Influye en la manera en que trabajamos, cómo servimos a nuestros clientes y cómo abordamos el cumplimiento de nuestra misión. Contamos con cinco valores fundamentales que buscamos encarnar cada día:

• Pensamos en grande

• Tomamos la simplicidad en serio

• Venimos tal como somos

• Actuamos con humildad

• Estamos construidos sobre la confianza

La cultura es responsabilidad de todos en SimplePractice. Es lo que nos impulsa a hacerlo mejor para nuestros compañeros y clientes.

La conexión y la colaboración también son clave para nuestro éxito. Trabajarás con equipos multinacionales talentosos y tendrás oportunidades de participar en encuentros presenciales tanto en EE. UU. como en México.

🚀 ¡Encuéntranos en la Ciudad de México!

¿Quieres conocer al equipo antes de postularte? Acompáñanos el 28 de mayo en nuestro encuentro "Más allá de la app: Construyendo el futuro de la tecnología con IA y datos", en colaboración con RubyCDMX.

¡Habla de IA, datos e ingeniería con nuestros líderes mientras disfrutas de una bebida! 🍺 👉 Confirma tu asistencia aquí: https://luma.com/32jeyopv

El Rol

Estamos buscando un Senior Data Engineer para ayudar a liderar la evolución de nuestro stack de datos, desde los pipelines hasta la plataforma. En este rol, construirás la infraestructura que impulsa todo, desde inteligencia de producto hasta reportes financieros y analítica self-serve dentro del producto.

Nuestros clientes son profesionales clínicos en prácticas privadas pequeñas y medianas, y los datos que estructures les ayudarán directamente a operar negocios más eficientes y efectivos. Al habilitar insights accesibles, como tendencias de inasistencias o niveles de interacción de pacientes, brindarás a los profesionales herramientas para tomar decisiones más inteligentes y rápidas sobre la gestión de la atención.

Internamente, tu trabajo impulsará desde reportes ejecutivos y proyecciones de ingresos hasta analítica de producto y ciclos de evaluación de modelos de IA. Colaborarás con equipos de Data Analytics, Machine Learning, Producto e Ingeniería para construir sistemas escalables y confiables que conviertan los datos en un producto de primera clase dentro de SimplePractice.

Responsabilidades

• Colaborar con Producto, Analytics e Ingeniería para construir sistemas escalables que desbloqueen el valor de los datos provenientes de múltiples fuentes como bases de datos backend, flujos de eventos y plataformas de marketing.
• Liderar la visión técnica y la arquitectura con una perspectiva integral tanto a corto como a largo plazo.
• Trabajar con el equipo de Analytics para crear alineación a nivel compañía mediante métricas estandarizadas.
• Apoyar casos de uso internos como reportes financieros, analítica de producto y métricas operativas.
• Habilitar casos de uso externos como dashboards para clientes, analítica self-serve y recomendaciones dentro del producto.
• Gestionar el stack completo de datos desde la ingestión hasta el consumo.
• Construir herramientas que aumenten la transparencia en el reporte de resultados de negocio.
• Colaborar con DevOps para desplegar y mantener soluciones de datos en la nube, preferentemente en AWS.
• Definir marcos de calidad y seguridad de datos para medir y monitorear la calidad en toda la organización, promoviendo mejores prácticas de ingeniería de datos.

Habilidades y Experiencia Deseadas

Educación y Experiencia

• Licenciatura o Maestría en Ingeniería, Ciencias de la Computación, Matemáticas o campo relacionado.
• Más de 7 años en Data Engineering o Analytics Engineering.
• Fuertes habilidades de resolución de problemas y comunicación; cómodo trabajando en entornos dinámicos y multifuncionales.

Ingeniería de Datos y Pipelines

• Experiencia en arquitectura empresarial y modelado dimensional.
• Experto en SQL y modelado de datos (relacional, dimensional, semántico).
• Experiencia comprobada en diseño, implementación y mantenimiento de data warehouses (Snowflake).
• Experiencia práctica con DBT para transformaciones modulares y testeables.
• Experiencia con herramientas de orquestación e ingestión: Airflow, Prefect, Airbyte, Fivetran, Kafka.
• Familiaridad con ELT, schema-on-read, DAGs y optimización de rendimiento.

Nube e Infraestructura

• Experiencia con AWS (S3, RDS, Redshift, etc.).
• Familiaridad con Terraform, Docker y flujos de trabajo contenerizados (deseable).
• Manejo de datos estructurados, semi-estructurados (JSON) y formatos columnares (Parquet, ORC).

Analítica y Habilitación

• Experiencia construyendo y soportando capas semánticas para analítica self-serve.
• Dominio de herramientas BI como Looker, Tableau o Sisense.
• Experiencia estandarizando métricas y habilitando acceso confiable y consistente a los datos.

Programación y Scripting

• Dominio de Python y scripting en Unix/Linux.
• Experiencia trabajando con APIs (por ejemplo, usando curl).

Puntos Extra

• AWS DevOps (Terraform, Kubernetes, Docker).
• Experiencia en gestión de proyectos y cambio, especialmente en entornos ágiles (SCRUM, Kanban).
• Experiencia en ETL en tiempo real (Kafka streaming, AWS Kinesis).

Beneficios

Ofrecemos un programa competitivo de beneficios que incluye:

• Seguro médico, dental y de visión privado
• Apoyo para trabajo desde casa
• Tiempo libre flexible (FTO), días de bienestar, días festivos pagados y Summer Fridays
• Reembolso mensual de alimentos
• Bono navideño y 15 días de aguinaldo
• Esquema híbrido de trabajo y comidas patrocinadas
• Bono de reubicación para candidatos que se muden desde otra ciudad
• Grupos de Recursos para Empleados (ERGs)

• Data Pipeline Development: Support the design, development, and implementation of new data pipelines using GCP services like Data Fusion, Cloud Functions, and Dataproc to ingest data from a variety of sources. 
• SQL-Based Transformations: Author, execute, and optimize complex SQL joins and transformations within GCP BigQuery to clean, reshape, and structure raw data into high-quality, usable assets. 
• Data Modeling Support: Assist the senior engineering and analytics teams with data modeling and schema design, helping to implement the structures that support our BI and analytics use cases. 
• Pipeline Maintenance and Optimization: Monitor, troubleshoot, and enhance existing data pipelines to ensure data quality, reliability, and performance. 
• Collaboration and Implementation: Work as a key member of the engineering team to translate technical requirements into functional code and support the deployment of data solutions. 

• 2-4+ years of hands-on experience in a data engineering or similar role. 
• Strong, demonstrated proficiency in SQL for data manipulation and transformation is essential. 
• Hands-on programming experience with Python for data processing tasks. 
• Experience working within a major cloud environment (GCP is highly preferred; AWS, Azure are also valuable). 
• Experience working with complex, large-scale enterprise media data is a strong plus. 
• Familiarity with ETL/ELT principles and experience with data pipeline orchestration tools (e.g., Airflow, Data Fusion). 
• Understanding of data warehousing concepts and database design. 
• A collaborative mindset with strong problem-solving skills and attention to detail. 
• Bachelor's degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. 

For Mexico: This position is available in a Remote or Hybrid Work Modality. The candidate must perform their work from any location within Mexico. Only Mexican nationals residing in the country or foreign nationals with a valid work permit may apply. Remote work from abroad is not permitted under any circumstances.

For Colombia: This position is in a Remote or Hybrid Work Modality and must be performed within Colombian territory. Only candidates residing in Colombia with a valid work permit may apply. Remote work contracts do not allow employment or relocation abroad.