Senior Software Engineer building Python and SQL data pipelines for Doximity’s clinical AI healthcare platform. Designing scalable ETL and asynchronous systems to advance healthcare insights.
Responsibilities
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)
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