Senior Data Platform Engineer
Join Komodo Health as a Senior Data Platform Engineer to build and optimize data pipelines that enhance healthcare insights.
Posted by employer 2 days ago
First seen on Joblaze 2 days ago
Last verified on the company career page 7 hours ago
What you'll build
- Build, operate, and optimize large-scale production data pipelines
- Transform healthcare claims and EHR datasets into data products
- Strengthen pipeline reliability through data quality checks
- Debug complex data and performance issues
- Partner with teams to translate healthcare data needs into solutions
Must have
- Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets
- Strong hands-on experience building production-grade data pipelines
- Advanced Python and SQL skills
- Experience with Spark or comparable distributed data processing frameworks
- Proven experience designing data solutions in AWS
Nice to have
- Experience delivering external-facing data products
- Ability to optimize high-scale data architectures
- Experience applying AI to engineering or data quality
- Success in high-growth or ambiguous environments
AI in the day-to-day
You will be expected to leverage AI-augmented engineering tools, such as ChatGPT, to improve productivity and technical decision-making.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
The Senior Data Platform Engineer at Komodo Health focuses on designing and optimizing large-scale data pipelines that transform complex healthcare datasets into reliable data products for the Healthcare Map. Proficiency in Python, SQL, and cloud infrastructure is essential, along with experience in distributed processing frameworks like Spark. This role is suited for experienced engineers with a background in healthcare data who can navigate the challenges of high-growth environments. The position emphasizes collaboration across teams to enhance data quality and support innovative analytics solutions.
Joblaze insights
- Listed 2 days ago — first seen on Joblaze September 25, 2026. Last confirmed on Komodo Health's careers page September 27, 2026.
- This exact title is also open at 1 other location at Komodo Health: New York, New York.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
- Starts above 89% of 143 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 38 companies). See Python salary trends
- Python appears in 82.5% of 217 comparable senior data engineering roles in United States; Spark appears in 13.8% of 217 comparable senior data engineering roles in United States.
Quick facts
- Is the Senior Data Platform Engineer role remote?
- It's hybrid — Komodo Health expects some on-site time in New York, New York.
- What's the salary range?
- Komodo Health lists $196,000–$230,000 for this role.
- Where is the role based?
- Komodo Health is hiring for this position in New York, New York.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Airflow, Python, SQL, Spark.
- What seniority level is this role?
- Komodo Health targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Platform Engineer role at Komodo Health.
From the original posting
We Breathe Life Into Data
The Opportunity at Komodo Health
Join Komodo Health's Data Foundations team and play a critical role in shaping the core data products that fuel our Healthcare Map. This role is essential for transforming massive, complex healthcare datasets into performant, trustworthy, and usable data assets that directly power both customer-facing applications and internal product innovation. By building and scaling our foundational data systems, you will directly enable the transparency and efficiency required to drive better health outcomes across the industry.
Mission
The Senior Data Engineer will design, build, operate, and improve large-scale data pipelines and foundational data products that power Komodo’s Healthcare Map, analytics products, and downstream AI/ML-enabled use cases. This is a hands-on engineering role focused on processing complex healthcare data at scale, improving reliability and performance, and contributing to the technical direction of core data systems.
Looking back on your first 12 months at Komodo Health, you will have…
- Architectural Advancement: Deliver high-impact technical initiatives that improve pipeline performance, scalability, and system efficiency.
- Platform Hardening: Improve the reliability, observability, and cost-efficiency of core Data Foundations systems.
- Healthcare Data Innovation: Develop deep domain expertise and contribute novel approaches to challenges such as patient journey mapping and identity resolution.
- Cross-Functional Delivery: Partner with Data Product and Engineering teams to ship scalable, production-grade data solutions.
- Partner on architecture: Raise the bar across the team through mentorship, design reviews, and engineering best practices.
Key Responsibilities
- Build, operate, and optimize large-scale production data pipelines using Python, SQL, Airflow, cloud infrastructure, and distributed processing frameworks.
- Transform massive healthcare claims, EHR, and reference datasets into trusted, performant Healthcare Map data products and serving-ready data assets.
- Strengthen pipeline reliability through data quality checks, validation, lineage, observability, monitoring, and alerting.
- Debug complex data, system, and performance issues across computationally intensive workflows.
- Partner with Data Product Quality, Product, Platform, and Engineering teams to translate healthcare data needs into scalable technical solutions.
- Contribute to system design, architecture, code quality, testing, documentation, CI/CD, and rotational production support.
- Enable downstream analytics, product, and AI/ML use cases through high-quality, well-modeled, reliable data.
What you bring to Komodo Health:
- Healthcare data experience across claims, clinical, RWE, provider, patient, or life sciences datasets, including coding systems such as ICD-10, CPT, NDC, or NPI.
- Strong hands-on experience building, operating, and debugging production-grade data pipelines at scale.
- Advanced Python and SQL skills, with experience in Airflow or similar workflow orchestration tools.
- Experience with Spark or comparable distributed data processing frameworks.
- Proven experience designing and operating data solutions in AWS.
- Strong instincts for data quality, reliability, root-cause analysis, and production troubleshooting.
- Ability to communicate technical trade-offs clearly and collaborate with engineering, product, and data partners.
- Comfort using AI-assisted engineering tools for productivity, debugging, documentation, and technical exploration.
AI-Augmented Engineering Expectations:
- You will be expected to leverage AI-augmented engineering tools, such as ChatGPT, Gemini, or Claude, to improve productivity and technical decision-making. This may include using AI to generate and refine code, accelerate documentation, automate test case creation, debug complex issues, explore unfamiliar technical concepts, and assess architectural trade-offs and risks.
Additional skills and experience we’d prioritize (nice to have)…
- Experience delivering external-facing data products through customers, APIs, serving layers, or production access patterns.
- Ability to optimize high-scale data architectures for performance, cost, versioning, and large-volume productization.
- Experience applying AI or agentic workflows to engineering, data quality, delivery, or operations.
- Success in high-growth or ambiguous environments that require balancing architecture, speed, and quality.
Open to US remote, OR SF/NYC hybrid
#LIRemote
The pay range for each job posting reflects a minimum and maximum range of annual base pay that we reasonably expect to pay for this position within the US. We carefully consider multiple business-related factors when determining compensation, including job-related skills, work experience, geographic work location, relevant training and certifications, business needs and market demands.
Komodo's AI Standard
Standard company text repeated across Komodo Health's postings is omitted here.