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Hiring: Data Engineer - SF or Remote, U.S.
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Hiring: Data Engineer - SF or Remote, U.S.
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Doximity is transforming the healthcare industry. Our mission is to help doctors be more productive, informed, and connected. As a software engineer focused on our data stack, you'll work within cross-functional delivery teams alongside other engineers, designers, and product managers in building software to help improve healthcare.

Our team brings a diverse set of technical and cultural backgrounds and we like to think pragmatically in choosing the tools most appropriate for the job at hand.

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 that don't fit a mold, join us!

This role can be filled in our San Francisco headquarters OR remotely in the U.S.

About you

You have professional experience developing data processing, enrichment, transformation, and integration solutions.
You are fluent in Python and SQL.
You are no stranger to data warehousing and designing data models.
You are foremost an engineer, making you passionate for high code quality, automated testing, design patterns, and other engineering best practices.
You care deeply about the data being generated. You study the data and extract insights from it before you process it.
You are user experience and product focused. You build solutions while thinking about the impact it has on our users and enhances the product.
You are able to work within an existing data architecture finding gaps in it and enhancing it to ensure solutions are fault tolerant, scalable, and easy to iterate upon.
You have the ability to self-manage, prioritize, and deliver functional solutions.
You know your way around Git and AWS services.
You agree that concise and effective written and verbal communication is a must for a successful team.

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.
Build, maintain, and scale data pipelines that empower Doximity’s products.
Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
Work alongside others in planning and carrying out the implementation of solutions that are focused on enhancing products, leading one or two projects at any given time.

Read more / apply: ai-jobs.net/job/8543-data-engineer/
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