Datos y analítica
Data Engineering Manager - vacante remota
Doximity
El enlace lleva al anuncio original. Donator no recibe candidaturas.
Data Engineering Manager - Datos y analítica, remoto
La empresa Doximity busca cubrir el puesto de Data Engineering Manager: es un puesto de liderazgo, con responsabilidad sobre un equipo o sobre un área entera. La vacante pertenece al área de Datos y analítica y es totalmente remota. La empresa no pone ninguna restricción sobre el lugar de residencia, así que usted puede postular desde donde vive.
Las herramientas principales que nombra el anuncio son: Python, SQL, Machine Learning. El CV debería mostrar ejemplos concretos justo de esas capacidades.
La empresa publicó la remuneración: $172k - $254k al año. Sobre el horario, el anuncio no pone ninguna condición.
Esta vacante pasó una revisión automática: los anuncios que exigen un permiso de trabajo extranjero, patrocinio de visa, una nacionalidad concreta o residencia en un país determinado no entran en la lista.
Herramientas
En resumen
- Empresa
- Doximity
- Área
- Datos y analítica
- Quién puede postular
- Desde cualquier país del mundo
- Modalidad
- Totalmente remoto
- Remuneración
- $172k - $254k al año
- Nivel
- Liderazgo
- Herramientas
- Python, SQL, Machine Learning
- Publicada
- 2 de agosto de 2026 (hace 21 días)
- Activa
- hasta el 11 de septiembre de 2026
- Fuente
- We Work Remotely
Vacantes nuevas por correo: Datos y analítica
El tablón se actualiza varias veces al día. Escribimos solo cuando aparece una vacante nueva ya verificada. Nada de spam y no hace falta cuenta.
¿Ya está suscrito? Gestionar sus preferencias
Descripción de la empresa
Headquarters: San Francisco or Remote (U.S.)
Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, there's an elevated level of responsibility in everything we do. We don't take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
One of Doximity's core values is stretching ourselves. Even if you don't check off all the boxes below we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work everyday and make us all better for it!
This role can be filled in our San Francisco headquarters OR remotely in the US or Canada.
About you
* Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role.
* You are experienced in creating automated testing, applying design patterns, and other engineering best practices.
* You are an expert in Python and possess fluency in SQL and have developed maintainable data pipelines with each.
* Experienced People Manager. You have experience managing 3 or more people whereby you were accountable for their growth and success as individuals and team members.
* Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
* Player Coach . You are able to contribute individually, outside of your reports or team, balancing priorities between being a player (i.e. individual contributor) and a coach (i.e. manager or mentor).
* See a project from end-to-end . You have led several projects, your own ideas and other's. This means from idea generation to planning, execution, through delivering.
* ML/AI-aware. You have working knowledge of how ML/AI applications are deployed and monitored, and you’re motivated to use this awareness to advance data-driven initiatives.
Here's How You Will Make an Impact
* Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks in order to facilitate the extraction of insights.
* Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage. Inform data team strategy by working with the product leaders and managers.
* Actively participate in execution and some planning of organizational data team strategy.
* Collaborate with Doximity’s Data Leadership team to ensure alignment and success across the entire Data Organization.
* Manage individual Data Engineers to foster learning, growth and success at Doximity.
About Us
* Explore our stack
* We have over 500 private repositories in Github containing our pipelines, our own internal multi-functional tools, and open-source projects
* We have worked as a distributed team for a long time; we're currently about 65% distributed
* Find out more information on the Doximity engineering blog
* Our company core values
* Our recruiting process
* Our product development cycle
* Our on-boarding & mentorship process
Compensation
The US total compensation range for this full-time position is $172,000 - $254,000 (i nclusive of salary + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.
More on /Benefits/Perks
Doximity is proud to offer industry-leading benefits to our full time employees. Some of our offerings include:
* Medical, dental, vision offerings for you and your family
* 4 01k with matching program
* Employee stock purchase plan
* Family planning support, Childcare FSA, and parental leave
* Life, AD&D, and Disability
* Generous time off, holidays and paid company trips
* Wellness benefits…plus many more!
More About Doximity…
For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.
Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page , company blog , and engineering blog . We’re growing fast, and there’s plenty of opportunity for you to make an impact-join us! For more information, visit Doximity.com .
____________________________________________
EEOC Statement
Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
To apply: https://weworkremotely.com/remote-jobs/doximity-data-engineering-manager
El texto se conserva en el idioma original de la empresa, porque en ese mismo idioma se postulará usted.
Preguntas frecuentes sobre esta vacante
¿Puedo postularme al puesto de Data Engineering Manager desde donde vivo?
Sí. Para esta vacante, Doximity acepta candidatos de cualquier país del mundo, así que usted no necesita un permiso de trabajo de otro país. El anuncio pasó una revisión automática: si la empresa hubiera exigido un permiso de trabajo, patrocinio de visa o residencia en un país determinado, no estaría en este tablón.
¿Qué remuneración se indica?
La empresa indicó $172k - $254k al año. Es el monto bruto, tal como aparece en el anuncio.
¿Cómo me postulo?
Usted se postula directamente ante la empresa, a través del anuncio original publicado en We Work Remotely. Donator no recibe candidaturas, no cobra comisión y no guarda ningún CV.
¿Qué tipo de vacante es esta?
Un puesto totalmente remoto en el área de Datos y analítica. Los anuncios híbridos y todo lo que exija presencia en la oficina no se publican en este tablón.
Certificados gratuitos para esta vacante
Este anuncio pide Python, SQL, Machine Learning. Abajo están las credenciales gratuitas que cubren justo esas herramientas.
Kaggle Learn: 17 micro-courses
certificateKaggle · ~4 h
Intro to ML, Pandas, SQL, Deep Learning, Computer Vision and more. Only a Google account is needed, and the certificate has a public link.
moderate weightCS50x: Introduction to Computer Science
certificateHarvard CS50 · ~100 h
Harvard's own branded certificate is free once you pass every problem set and the final project. The edX verified certificate is a separate paid product and is not needed.
strong brandDeveloper certificates (10+ tracks)
certificatefreeCodeCamp · ~300 h
A non-profit; a card is never requested. The certificate is issued after five projects are submitted and pass.
moderate weightDeep Reinforcement Learning course
certificateHugging Face · ~30 h
Entirely free with no deadline. 80% earns a Certificate of Completion, 100% a Certificate of Honors.
moderate weight
Vacantes similares
Senior ML Engineer (Europe-based/Remote)
SWORD Health · hace 2 días
Desde EuropaMachine LearningData Analytics Engineer
Ruby Labs · hace 2 días
Desde EuropaSQLData Scientist (AI Data & LLM Specialist)
Eclipse Laboratories · hace 3 días
Desde cualquier lugarPythonMachine LearningSenior Data Analyst
Ruby Labs · hace 3 días
Desde Europa
