Senior Data Engineer, Sentinel (Pacific Time Zone)

Komodo Health

2d • Remote

About The Position

We Breathe Life Into Data
At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease.
As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.
The Opportunity at Komodo Health:
Komodo aims to build the best healthcare data architecture in the industry. We are rapidly growing and expanding our infrastructure stack and adopting SRE best practices.
You will be joining the Platform team. We build, operate, and constantly improve our infrastructure offerings for 150+ client organizations.
The team achieves our business goals by adopting best infrastructure practices and leveraging 100% automation to scale our product offerings and reduce costs.
You will work with passionate team members across the country, and to accomplish our goal: reduce the burden of disease.

Requirements

• Proficiency in Python, with deep technical troubleshooting skills and extensive experience building backend APIs and microservices.
• Expert-level knowledge of AWS core services and the ability to architect scalable solutions from high-level requirements.
• Proficiency in Terraform/Scalr and experience building robust CI/CD pipelines using GitHub Actions.
• Solid understanding of networking fundamentals (subnets, CIDR, VPCs) to ensure secure, global application accessibility.
• Expert with big-data tools and workflow orchestrators such as Snowflake, Databricks, Airflow, Temporal.
• Ability to leverage AI tools (Gemini, ChatGPT, Cursor) to streamline engineering workflows and enhance personal productivity.
• A proactive team player with excellent cross-team communication skills and a proven track record of driving complex projects to completion.

Nice To Haves

• Experience with AWS preferred. AWS Cloud Infrastructure certification is a plus.
• Experience with data privacy concerns such as HIPAA or GDPR
• Experience working with cross-functional teams and with other customer-facing teams
• Passion! We hope you are passionate about our mission and technology
• Ownership! We hope you own your work, be accountable, and push it through the finish line. We hope you treat yourself as a cofounder and do not hesitate to share any idea that helps Komodo
• Expertise! We do not need you to know everything, but we hope you have deep knowledge in at least one area and can start contributing quickly. And we would love to learn from you in your area(s) of expertise as well.

Responsibilities

• Have developed a deep understanding of Platform and Platform customers
• Have built and operated cloud infrastructure (AWS) based on customer requirements
• Have solved any development and deployment challenges around making Platform infrastructure highly reliable, easy to maintain, and cost-effective
• Have participated in the development, execution, and support of the new feature rollout with solution architects, forward-deployed engineers, and customer success teams
• Led the development of improvements to data infrastructure, pipeline automation, codebase quality, and/or data quality.
• Designed, architected and/or implemented systems for supporting data processing tasks, like metadata, configuration and/or data pipeline inputs.
• Have developed and contributed to existing and new monitoring and alerting systems for Platform infrastructure
• Have hardened infrastructure security including network, storage, user access, etc.
• Have responded and solved key customer reported issues in a timely manner
• Participated in an on-call rotation
• Spearheaded the adoption of AI-driven development workflows, integrating LLM-based tools into the SDLC to accelerate feature delivery and reduce mean time to resolution (MTTR)

Benefits

• comprehensive health, dental, and vision insurance
• flexible time off and holidays
• 401(k) with company match
• disability insurance and life insurance
• leaves of absence in accordance with applicable state and local laws and regulations and company policy.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed