Senior Performance Engineer, Data Products

🕒 July 24

🇺🇸 United States – Remote

💵 $172k - $195k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 5%

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Turquoise Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🏥 Healthcare

💼 Consulting

☁️ SaaS

💰 $30M Series B - Turquoise Health on 2024-01

Healthcare • Consulting • SaaS

Turquoise Health is a healthcare transparency platform and SaaS company that aggregates, standardizes, and publishes hospital and health plan pricing data to make healthcare costs accessible and actionable. It provides machine-readable price files, patient cost-estimate tools, contracting and analytics software, and compliance solutions to hospitals, health systems, payers, employers, and life sciences organizations. The company’s products help organizations meet regulatory price-transparency requirements, compare provider costs, and enable consumers and enterprise customers to make cost-conscious healthcare decisions.

📋 Description

• 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

• 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

• 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