Turquoise Health
Senior Performance Engineer, Data Products
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 8 weeks ago · Added yesterday
Been open since 8 weeks ago. Long-running listings are sometimes left up after the role is filled.
Salary
$172,000 to $195,000
Location
United States only
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Remote"
- Job description states: "fully remote role within the United States."
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
This is a fully remote role within the United States.
We’re looking for a product-minded Senior Performance Engineer to improve how our products interact with large, complex healthcare datasets. This role uses Data Science skills to drive Product Experience outcomes, by iterating to improve the performance of our Data Platform.
The work is analytical, and the outcome is practical: a faster, more scalable product. You’ll investigate existing performance problems, anticipate the impact of future product and dataset changes, shipping improvements across the full system—from data architecture and query execution to API request patterns and user experience.
Success in this role means being able to demonstrate outcomes such as:
A critical filter and data-source combination is now x% faster in production
An incoming dataset change is expected to increase latency by y%, and we have a mitigation plan before launch
A product workflow now uses z% fewer ClickHouse resources without compromising the user experience
Responsibilities
Own performance investigations across the product and data stack, moving from slow queries or poor user experiences to measurable root causes and production improvements
Design and evaluate data architecture changes
Partner with Product, frontend, and backend engineers to adapt product behavior to the characteristics of the underlying data through techniques such as request batching, debouncing, caching, pagination…
Develop representative benchmarks for important combinations of filters, datasets, and product workflows
Measure query latency, throughput, concurrency, and infrastructure consumption, with particular attention to datastore performance and cost (we use ClickHouse Cloud)
Evaluate the likely performance impact of upstream dataset changes before they reach production
Assess future product requests and recommend technical or product approaches that balance functionality, responsiveness, scalability, and cost
Prototype competing solutions, clearly communicate their tradeoffs, and validate the selected approach in production
Improve performance instrumentation, monitoring, and regression detection across data-powered product experiences
Establish reusable patterns and capabilities as the Data Product platform becomes a supporting layer for additional products and teams
What you’ll bring to the role
5+ years of experience building and optimizing production data systems, data-intensive applications, or analytical products
Advanced SQL skills and strong proficiency with Python or another general-purpose programming language
Experience optimizing analytical workloads in column-oriented databases or data warehouses
Experience changing how data is organized or stored to improve application performance. Examples may include restructuring tables, precomputing results, changing indexes, or optimizing how data is queried.
Experience using query plans, profiling, benchmarks, and production telemetry to diagnose performance problems
Requirements
- ·5+ years of experience building and optimizing production data systems, data-intensive applications, or analytical products
- ·Advanced SQL skills and strong proficiency with Python or another general-purpose programming language
- ·Experience optimizing analytical workloads in column-oriented databases or data warehouses
- ·Experience changing how data is organized or stored to improve application performance. Examples may include restructuring tables, precomputing results, changing indexes, or optimizing how data is queried.
- ·Experience using query plans, profiling, benchmarks, and production telemetry to diagnose performance problems
Benefits
- ·Competitive pay with equity options
- ·Stellar healthcare plan options, including Medical, Dental, and Vision, with FSA, DCFSA, and HSA options
- ·Company-sponsored disability and life insurance
- ·401(k) with 4% matching
- ·Fully remote work and flexible working hours
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Turquoise Health, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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