Related skills
javascript aws snowflake python databricks📋 Description
- Lead technical discovery with customers to understand workflows and success criteria.
- Prototype AI/ML solutions and data pipelines to validate value.
- Design production-ready systems: APIs, data pipelines, ML workflows, cloud services.
- Own deployments and scaling; troubleshoot data, infrastructure, and application issues.
- Translate field learnings into insights for product strategy and platform roadmaps.
🎯 Requirements
- 8+ years in software engineering; Python and/or JavaScript/TypeScript.
- Experience building data-intensive distributed systems: APIs, pipelines, cloud-native (AWS).
- Productionize AI/ML solutions with monitored workflows.
- Operate in ambiguous, customer-driven problem spaces with sound decisions.
- Clear communicator across engineering, product, and customer teams.
- Nice-to-have: healthcare/regulatory exposure; Databricks, Spark, Snowflake.
🎁 Benefits
- Compensation: base salary plus annual bonus opportunity (non-commissioned roles).
- 401(k) plan, stock options; health, dental, and vision from day 1.
- Flexible location: remote days and 3 in-office days in Philadelphia.
- Generous PTO: ~4 weeks per year for vacation, personal, and sick time.
- Parental leave: 12 weeks for childbearing; 6 weeks for non-childbearing.
- Onboarding and professional development: mentorship and annual budget.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!