Design, build, test, and maintain high-performance Python data applications and backend services. Lead technical design, review code, mentor junior engineers, integrate with databases and cloud services, optimize performance, and ensure security, scalability, and reliability.
Python
- Design, develop, test, and maintain high-performance Python applications
- Build and optimize backend services, APIs, and data processing pipelines
- Write clean, reusable, and well-documented code following best practices
- Lead technical design discussions and contribute to architectural decisions
- Review code, provide constructive feedback, and mentor junior engineers
- Integrate applications with databases, third-party services, and cloud platforms
- Troubleshoot, debug, and optimize application performance
- Collaborate with product managers, QA, DevOps, and frontend teams
- Ensure security, scalability, and reliability of applications
- Strong knowledge of Python frameworks (Django, Flask, FastAPI)
- Experience with RESTful APIs and microservices architecture
- Proficiency with SQL and/or NoSQL databases (PostgreSQL, MySQL, MongoDB)
- Solid understanding of OOP, data structures, and algorithms
- Experience with version control systems (Git)
- Familiarity with Linux/Unix environments
Compensation, Benefits and Duration
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide clinical leadership for inpatient utilization management, conduct medical necessity and length-of-stay reviews, collaborate with treating providers and operational partners, apply evidence-based guidelines (e.g., InterQual), oversee nurse teams, participate in rotational call/holiday coverage, and support quality and program initiatives remotely within Florida.
Top Skills:
Interqual
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
The Epic Beacon Analyst will provide design, build, and testing expertise for Epic software, collaborate with end users, and manage application incidents while ensuring quality healthcare workflows.
Top Skills:
EpicEpiccareExcelPowerPointSharepoint
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead enterprise regulatory strategy and operations for medical devices and digital health. Own regulatory assessments, plans, submissions, compliance activities (audits, registrations, vigilance, recalls), labeling review, regulatory intelligence, training, and stakeholder collaboration while developing regulatory policies and team capabilities.
Top Skills:
Ai/MlElectronic Quality Management SystemsEu MdrFda SubmissionsIec 62304Iso 13485Iso 14971Samd
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
