Senior Software Engineer, Data

Job not on LinkedIn

🕒 September 10

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California – Remote

🏄 California – Remote

💵 $165k - $221k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Doximity

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Secondary Market on 2019-08

Healthcare • Consulting • 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.

📋 Description

• Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks for extracting insights • Understand product requirements and translate them into actionable project plans for execution • Establish data architecture processes and practices that can be scheduled, automated, replicated, and leveraged as standards by other teams • Collaborate with Data Leadership to identify and advance meaningful projects across the commercial organization

🎯 Requirements

• At least 5 years of industry experience as a data engineer or similar role • Experience creating automated testing, applying design patterns, and other engineering best practices • Expert proficiency in Python • Fluency in SQL • Experience developing maintainable data pipelines with Python and SQL • Experience designing several data pipelines from start to finish, including technology selection, building, testing, and rollout • Comfort identifying and applying APIs, streaming, multithreading, and other asynchronous approaches • Understanding of monitoring and maintaining asynchronous systems • Working knowledge of how ML/AI applications are deployed and monitored • Ability to communicate complex concepts simply to technical and non-technical audiences

🏖️ Benefits

• Equity (where applicable) • Annual bonus or incentive compensation (where applicable) • 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) • Flexible ways of working • Mentorship and professional development • Inclusive workplace culture

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