Doximity Software Engineer, Data Infrastructure

Headquarters: San Francisco, CA
URL: https://workat.doximity.com/positions/?gh_jid=1724196

• We schedule over 1000 pipelines every 24 hours resulting in over 8000 data processing tasks operating on datasets ranging in size from a few hundred rows to a few billion rows.
• We rely heavily on Python, Airflow, Spark, MySQL and Snowflake for most of our data pipelines
• We use Terraform, Chef and Docker to manage our AWS data stack.
• We have over 350 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

• Work with the rest of the data infrastructure team to design, architect, implement, and support data systems, libraries and processes impacting all other data teams at Doximity.
• Further solidify our CI/CD, reduce production impacting issues and improve monitoring/logging.
• Support and train data analysts, data scientists, and data product engineers on new or improved data infrastructure systems and processes.
• Encourage data best-practices through code by continuing the development of our internal data frameworks and libraries.
• Identify and address performance, scaling or resource issues.
• Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards for other teams to leverage.
• Spearhead, plan, and carry out the implementation of solutions while self-managing your time and focus.

• You have at least three years of professional experience developing data processing, enrichment, transformation, and integration solutions
• You are fluent in Python, an expert in SQL, and can script your way around Linux systems with bash
• You are no stranger to data warehousing and designing data models
• You have operational experience supporting data stacks through tools like Terraform, Chef and Docker.
• You are foremost an engineer, making you passionate for high code quality, automated testing, and other engineering best practices
• You have the ability to self-manage, prioritize, and deliver functional solutions
• You possess advanced knowledge of Unix, Git, and AWS tooling (especially EMR)
• You agree that concise and effective written and verbal communication is a must for a successful team
• You are able to maintain a minimum of 5 hours overlap with 9:30 to 5:30 PM Pacific time
• You can dedicate about 18 days per year for travel to company events within the U.S.A

• Doximity has industry leading benefits. For an updated list, see our career page

To apply: https://grnh.se/8700bff31