Senior Performance Engineer, Data Products

Turquoise Health

Senior Performance Engineer improving product interactions with healthcare datasets using data science techniques. Collaborating with engineering teams to enhance product performance and scalability.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $172,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in optimizing production data systems and analytical products, with advanced SQL and Python skills. Capable of evaluating data architecture changes and improving performance through a hypothesis-driven approach.

Highest-signal resume keywords

Advanced SQL SkillsPython ProficiencyPerformance OptimizationData Architecture EvaluationAnalytical Workload Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Performance InvestigationData System OptimizationQuery Plan AnalysisBenchmark DevelopmentData RestructuringProfilingTelemetry DiagnosisCaching TechniquesPagination TechniquesRequest Batching

Soft Skills

Problem-SolvingCommunicationProduct Judgment

Tools & Technologies

ClickHouse Cloud

Industry Keywords

Data-Intensive ApplicationsAnalytical ProductsColumn-Oriented DatabasesData WarehousesUser Experience

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Ability to reason across system boundaries, including databases, APIs, backend services, client request patterns, and product interactions
A hypothesis-driven approach to performance work: define the problem, establish a baseline, test alternatives, and quantify the production result
A mindset of connecting technical work to user or business outcomes
Your own product judgment, the ability to identify cases where changing the product experience is more effective than changing the underlying data system

Benefits

Comp & perks

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