Join Turquoise Health as a Senior Performance Engineer to enhance product performance with complex healthcare datasets in a fully remote role.
Posted by employer 1 week ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Performance Engineer focuses on enhancing the performance of Turquoise Health's data products by analyzing and optimizing interactions with complex healthcare datasets. Key skills include advanced SQL and Python proficiency, along with experience in optimizing analytical workloads and diagnosing performance issues in data systems. This position is ideal for seasoned professionals with a background in data-intensive applications, particularly those familiar with healthcare data. The company emphasizes a collaborative environment, working closely with product and engineering teams to drive measurable improvements.
Joblaze insights
Quick facts
From the original posting
For our Analyze and Search products, speed is part of the product. Our customers filter, compare, and benchmark across large healthcare pricing datasets, and a slow query changes how much they trust and use what we’ve built. You’ll make that experience fast, scalable, and cost-efficient as datasets grow and more products build on the same platform.
The challenge is that performance depends on the combination of filter, dataset, and workflow, not on any single query. A dataset update can shift latency before anyone notices, and the best fix is sometimes a better data model and sometimes a better product behavior. You’ll investigate, benchmark, prototype, and ship across the path from ClickHouse to the API to the screen, working directly with Product, frontend, and backend engineers.
This is a data and product performance role, not a load-testing, QA, or low-level systems role. If you like turning “this feels slow” into a baseline, a hypothesis, and a number that moves in production, you’ll enjoy it here.
Diagnose and fix
Own performance investigations across the product and data stack, taking a slow query or poor user experience to a measured root cause and a production fix. Example: a critical filter and data-source combination is now x% faster in production.
Track latency, throughput, concurrency, and infrastructure cost, with a focus on datastore efficiency (we run on ClickHouse Cloud). Example: a product workflow now uses z% fewer ClickHouse resources without compromising the user experience.
Anticipate
Build representative benchmarks for the filter, dataset, and workflow combinations that matter most.
Evaluate the performance impact of upstream dataset changes before they reach production. Example: an incoming change is expected to increase latency by y%, and we have a mitigation plan before launch.
Assess future product requests and recommend technical or product approaches that balance functionality, responsiveness, scalability, and cost.
Design and ship
Design and evaluate data architecture changes, such as restructuring tables, precomputing results, and changing indexes.
Partner with Product, frontend, and backend engineers to adapt product behavior to the data, using techniques like request batching, debouncing, caching, and pagination.
Prototype competing solutions, communicate their tradeoffs clearly, and validate the chosen approach in production.
Build for the long term
Improve performance instrumentation, monitoring, and regression detection across data-powered product experiences.
Establish reusable patterns as the Data Product platform becomes a supporting layer for more products and teams.
5+ years building and optimizing production data systems, data-intensive applications, or analytical products
Advanced SQL and strong Python (or another general-purpose language)
Hands-on experience optimizing analytical workloads in column-oriented databases or data warehouses
A hypothesis-driven approach to performance work: you use query plans, profiling, benchmarks, and production telemetry to define the problem, set a baseline, test alternatives, and quantify the result in production
The ability to reason across system boundaries (databases, APIs, backend services, client request patterns, product interactions) and the product judgment to know when changing the experience beats changing the data system
Experience with ClickHouse
Experience contributing to data-heavy search, filtering, analytics, or reporting products
Experience with healthcare specific data types: claims, contract rates, revenue cycle, medical billing, or healthcare pricing experience
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
Unlimited PTO
401(k) with 4% matching
Fully remote work and flexible working hours
$750 work-from-home setup budget
Paid biannual in-person company summits
Quarterly $150 co-hanging stipend to meet with coworkers
Monthly $100 health and wellness benefit
Generous paid family leave
Annual $1,200 learning and development stipend
Standard company text repeated across Turquoise Health's postings is omitted here.