高级软件工程师,数据
Senior Software Engineer, Data
关于Doximity
Doximity是领先的临床AI公司,拥有美国最大的临床医生网络。Doximity的AI驱动的工作流程平台被超过85%的美国医生和300多家医疗系统所信赖。Doximity的使命是帮助临床医生提高效率,从而为患者提供更好的护理。
在Doximity,我们重视好奇心、主人翁精神、包容性以及对产生有意义影响的承诺。如果你对解决能改善医疗的复杂问题充满热情,我们期待你的加入。
关于该职位
- 首要是一名软件工程师。你具备高质量代码的实践能力,并能指导他人,至少有5年数据工程师或类似岗位的行业经验。
- 你有创建自动化测试、应用设计模式和其他工程最佳实践的经验。
- 你是Python专家,精通SQL,并且能够开发可维护的数据流水线。
- 熟悉架构解决方案。你已经从头到尾设计过多个数据流水线。包括选择合适的技术、构建、测试和部署。
- 有异步系统的经验。你能够识别并应用API、流处理、多线程和其他异步方法来解决合适的问题。你了解如何监控和维护这些系统。
- 具备产品思维。你会考虑工作的业务影响,并能根据高层次目标来优先安排工作。
- 沟通高手。你擅长与技术人员和非技术人员沟通,能够将复杂概念简单明了地解释清楚。
- 了解机器学习/人工智能。你了解ML/AI应用的部署和监控方式,并有动力利用这种认知来推动数据驱动的项目。
地点:该职位为远程办公,可在美国、加拿大或南美的一些国家。
你将产生的影响
- 与产品经理、数据分析师和机器学习工程师合作,开发数据流水线和ETL任务,以促进洞察力的提取。
- 理解产品需求,并将其转化为可执行的项目计划,由你或你的同事执行。
- 建立可以调度、自动化、复制并作为其他团队可利用标准的数据架构流程和实践。
- 与团队的数据领导合作,识别并推进商业领域的有意义项目。
查看英文原文
About Doximity
Doximity is the leading clinical AI company with the largest network of U.S. clinicians. Doximity’s AI-powered workflow platform is trusted by over 85% of U.S. physicians and 300+ health systems. Doximity's mission is to help clinicians be more productive so they can provide better care for their patients.
At Doximity, we value curiosity, ownership, inclusion, and a commitment to making a meaningful impact. If you're excited about solving complex problems that improve healthcare, we'd love to hear from you.
About the Role
- Foremost a software 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.
- Hands-on with architecting solutions. You have designed several data pipelines from start to finish. Choosing appropriate technologies, building, testing and rollout.
- Experience with aychronous systems. You are comfortable identifying and applying APIs, streaming, multithreading, and other asynchronous approaches to the right problems. You understand how to monitor and maintain these systems.
- Product mindset. You think about the business impact of your work, and can use high-level goals to prioritize work.
- Communication Extraordinaire. You excel at communicating to both technical and non-technical people, with an ability to explain complex concepts simply.
- 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.
Location: This role is remote in the United States, Canada, or some countries in South America.
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.
- Understand product requirements and translate them into actionable project plans that you or your peers execute upon.
- Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
- Collaborate with your team's Data Leadership to identify and push forward meaningful projects across the commercial org.
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 anticipated total compensation for this role is $165,000 - $221,000, depending on factors such as experience, skills, location, and internal equity.
Our total compensation package may include:
- Base salary
- Equity (where applicable)
- Annual bonus or incentive compensation (where applicable)
Specific compensation details will be discussed during the interview process.
Benefits
In addition to competitive compensation, Doximity offers a comprehensive benefits package for full time employees. Some of our offerings include:
- Medical, dental, and vision insurance
- 401(k) with company match
- Flexible paid time off and company holidays
- Paid parental leave
- Professional development and learning opportunities
- Wellness and mental health resources
- Remote work support and home office stipend (where applicable)
Why You'll Love Working Here
At Doximity, you'll join a mission-driven company where your work has a meaningful impact on healthcare. We believe great ideas come from empowered teams, and we're committed to creating an environment where people can do their best work.
- Make a real impact. Help build products that support over a million healthcare professionals and ultimately improve patient care.
- Work with exceptional teammates. Collaborate with thoughtful, talented colleagues who value curiosity, humility, and continuous learning.
- Enjoy flexibility and trust. We support flexible ways of working and empower employees with the autonomy to own their work.
- Grow your career. Take on meaningful challenges, develop new skills, and shape your career through mentorship and professional development.
- Bring your authentic self. We're committed to fostering an inclusive culture where diverse perspectives are welcomed, respected, and celebrated.
Our Hiring Process & AI Tools
Doximity may use artificial intelligence (AI)-enabled tools throughout the hiring process to help improve the candidate experience and support our recruiting team. These tools may assist with administrative tasks such as scheduling, general communication, interview coordination, note-taking, or summarizing interview feedback. Human recruiters and hiring managers make all hiring decisions. We are committed to using AI responsibly, transparently, and in accordance with applicable laws.
Equal Employment Opportunity
Doximity is proud to be an Equal Opportunity Employer. We are committed to creating an inclusive workplace where everyone can thrive. We consider all qualified applicants without regard to race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, veteran status, genetic information, marital status, or any other characteristic protected by applicable federal, state, or local law.
If you require a reasonable accommodation during the application or interview process, please let us know so we can support your participation.