Senior Software Engineer, Data
Doximity · San Francisco, CA or Remote (U.S.) · US
Software Engineering
Remote
Not yet analysed
Demand90
Career growth85
Healthcare fit75
Remote potential95
5-year outlook
The role offers a strong compensation package ($165k-$221k) and the healthcare tech sector is growing, so salary and career growth are likely to remain robust for senior data engineers with ML/AI exposure.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-09-14
Intelligence details
Why this is worth applying to
Clinicians with a strong software engineering background (especially Python and data pipelines) should consider this role because it leverages clinical domain knowledge in a high-impact, remote-friendly health tech company. However, without substantial engineering experience, it's not a realistic entry point.
Who should apply
Healthcare professionals with 5+ years of software engineering/data engineering experience, particularly those who have built data pipelines and have ML/AI awareness. Also suitable for healthcare graduates with a CS degree and relevant industry experience.
CV angle
Highlight clinical domain expertise as a differentiator, emphasizing how understanding clinician workflows and healthcare data improves pipeline design and product impact. Frame any clinical experience as 'domain knowledge' that enhances data architecture decisions.
Skills to highlight
- Python
- SQL
- Data pipeline design
- ETL development
- Asynchronous systems
- ML/AI deployment awareness
- Cross-functional communication
- Product thinking
Role summary
Senior data engineer at Doximity, building and maintaining data pipelines and ETL processes to support AI-driven healthcare products, collaborating with product managers and ML engineers.
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