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Dados e analytics

Data Engineering Manager - vaga remota

Doximity

De qualquer lugarRemoto$172k - $254k por anoAnywhere in the World
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O link leva ao anúncio original. Donator não recebe candidaturas.

Publicada: (há 21 dias)Ativa até: até 11 de setembro de 2026

Data Engineering Manager - Dados e analytics, remoto

A empresa Doximity está com uma vaga aberta de Data Engineering Manager: nível de liderança, com responsabilidade sobre uma equipe ou sobre uma área inteira. A posição fica na área de Dados e analytics e é totalmente remota. A empresa não impõe restrição sobre onde o candidato mora, então você pode se candidatar de onde estiver.

As principais ferramentas citadas no anúncio são: Python, SQL, Machine Learning. O currículo precisa mostrar exemplos concretos exatamente dessas habilidades.

A empresa publicou a remuneração: $172k - $254k por ano. O anúncio não impõe condição nenhuma de horário.

Esta vaga passou por uma verificação automática: anúncios que exigem autorização de trabalho estrangeira, patrocínio de visto, uma nacionalidade específica ou residência em um país indicado não entram na lista.

Em resumo

Empresa
Doximity
Área
Dados e analytics
Quem pode se candidatar
De qualquer país do mundo
Formato de trabalho
Totalmente remota
Remuneração
$172k - $254k por ano
Nível
Liderança
Ferramentas
Python, SQL, Machine Learning
Publicada
2 de agosto de 2026 (há 21 dias)
Ativa
até 11 de setembro de 2026
Fonte
We Work Remotely

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Descrição da 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

O texto permanece no idioma original da empresa, porque é nesse mesmo idioma que você vai se candidatar.

Esta vaga foi publicada em We Work Remotely. Anúncio original (We Work Remotely)

Perguntas frequentes sobre esta vaga

Posso me candidatar à vaga de Data Engineering Manager de onde eu moro?

Sim. Para esta vaga, Doximity aceita candidatos de qualquer país do mundo, então você não precisa de autorização de trabalho de outro país. O anúncio passou por uma verificação automática: se a empresa exigisse autorização de trabalho, patrocínio de visto ou residência em um país específico, ele não estaria neste quadro.

Qual é a remuneração informada?

A empresa informou $172k - $254k por ano. É o valor bruto, como está publicado no anúncio.

Como eu me candidato?

Você se candidata diretamente à empresa, pelo anúncio original publicado em We Work Remotely. Donator não recebe candidaturas, não cobra comissão e não guarda currículos.

Que tipo de vaga é esta?

Uma vaga totalmente remota na área de Dados e analytics. Anúncios híbridos e tudo o que exige presença no escritório não são publicados neste quadro.

Certificados gratuitos para esta vaga

Este anúncio pede Python, SQL, Machine Learning. Abaixo estão os certificados gratuitos que cobrem exatamente essas ferramentas.

Todos os certificados gratuitos: AI and data

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