
501 - 1000 employees
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° Secondary Market on 2019-08
Healthcare âą Consulting âą Logistics
Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.
đ 4 days ago
đ United States, Canada â Remote
đ California â Remote
đ” $165k - $221k / year
â° Full Time
đ Senior
đ° Data Engineer
đŠ H1B Visa Sponsor
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501 - 1000 employees
đ„ Healthcare
đŒ Consulting
đŠ Logistics
đ° Secondary Market on 2019-08
Healthcare âą Consulting âą Logistics
Doximity is a professional medical network for physicians that enables secure communication and collaboration among healthcare providers. With features such as HIPAA-compliant messaging, video calls, and telemedicine solutions, Doximity helps doctors and medical professionals connect with their patients efficiently and securely, streamlining their workflow and improving patient care. The platform serves as a comprehensive resource for medical professionals, offering news, research access, and a directory for networking.
âą Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks for extracting insights âą Understand product requirements and translate them into actionable project plans for execution âą Establish data architecture processes and practices that can be scheduled, automated, replicated, and leveraged as standards by other teams âą Collaborate with Data Leadership to identify and advance meaningful projects across the commercial organization
âą At least 5 years of industry experience as a data engineer or similar role âą Experience creating automated testing, applying design patterns, and other engineering best practices âą Expert proficiency in Python âą Fluency in SQL âą Experience developing maintainable data pipelines with Python and SQL âą Experience designing several data pipelines from start to finish, including technology selection, building, testing, and rollout âą Comfort identifying and applying APIs, streaming, multithreading, and other asynchronous approaches âą Understanding of monitoring and maintaining asynchronous systems âą Working knowledge of how ML/AI applications are deployed and monitored âą Ability to communicate complex concepts simply to technical and non-technical audiences
âą Equity (where applicable) âą Annual bonus or incentive compensation (where applicable) âą Medical, dental, and vision insurance âą 401(k) with company match âą Flexible paid time off and company holidays âą Paid parental leave âą Professional development and learning opportunities âą Wellness and mental health resources âą Remote work support and home office stipend (where applicable) âą Flexible ways of working âą Mentorship and professional development âą Inclusive workplace culture
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