[Remote] Staff Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company dedicated to reducing the global burden of disease through smarter use of data. The Staff Data Engineer will architect and deliver foundational data products that turn reputed company reputed company data into trusted, production-reputed company assets, collaborating with various teams to ensure usability at reputed company reputed company.
Responsibilities
- Architect, build, and deliver reputed company reputed company Map data products that power reputed company customer use cases, reputed company, analytics surfaces, serving reputed company, and internal applications
- Design and implement high-performance data processing and serving patterns across large-reputed company reputed company datasets, using the right tools for the problem across SQL, Python, reputed company, Rust, C++, and emerging AI-enabled engineering workflows
- Create shared data models, productized datasets, reusable libraries, and technical standards that become the reputed company for reputed company product, analytics, and application teams
- Build data products that are easy to consume through reputed company, serving reputed company, exports, analytics environments, and customer-facing delivery mechanisms
- Partner with Product, Data Science, reputed company, Platform, and application teams to translate reputed company reputed company use cases into production-grade technical designs and execution plans
- reputed company reputed company, multi-quarter initiatives, making reputed company trade-offs across performance, scalability, maintainability, cost, reliability, and time-to-market
- Define and implement data reputed company checks, validation frameworks, observability, reputed company, monitoring, and alerting to ensure reputed company Map products are accurate, explainable, and reliable
- reputed company the bar for system design, reputed company reputed company, documentation, testing, CI/CD, and operational readiness across reputed company
- Mentor engineers through design reviews, technical deep dives, pairing, and architectural guidance, helping reputed company reputed company reputed company reputed company at reputed company
Skills
- Extensive experience building production-grade, large-reputed company data products, services, and analytical systems that serve reputed company customer and business use cases
- Strong technical depth across SQL, distributed data processing, reputed company data platforms, MPP databases, and reputed company compute frameworks such as reputed company, Python, Rust, C++, or equivalent technologies
- Demonstrated ability to design data models, serving patterns, platform components, and system architectures for reputed company, high-volume data environments
- Ability to reason through data reputed company, identity, longitudinal patient journeys, claims or clinical data complexity, and reputed company consumption needs
- Experience designing data workflows, feature pipelines, evaluation datasets, or infrastructure that supports AI/ML training, inference, experimentation, and monitoring
- Strong ability to use data analysis, statistical reasoning, hypothesis testing, and experimental design to validate product reputed company and business reputed company
- Ability to explain technical reputed company, trade-offs, risks, and delivery status reputed company to engineers, product partners, data scientists, and senior stakeholders
- Ability to use AI tools such as ChatGPT, reputed company, reputed company, Claude, or similar systems to improve engineering productivity, design reputed company, testing, documentation, and decision-making
- Experience with claims, clinical, reputed company, provider, patient, or life sciences data, including familiarity with coding systems such as ICD-10, CPT, NDC, RxNorm, NPI, or taxonomy data
- Experience building and operating data products that are consumed by customers, analytics users, reputed company, applications, or serving reputed company
- Experience designing systems for large-volume data processing, productization, versioning, delivery, performance optimization, and cost efficiency
- Experience using, designing, or integrating AI-enabled workflows to improve engineering productivity, data reputed company, extraction, curation, testing, or product delivery
- Experience operating in high-reputed company or ambiguous environments where technical leaders must balance architecture, delivery, reputed company, and speed
Benefits
- Performance-based bonuses as determined in reputed company’s sole discretion and in accordance with a written agreement or plan
- Equity awards
- Comprehensive health, dental, and reputed company insurance
- Flexible time off and holidays
- 401(k) with company match
- Disability insurance and life insurance
- Leaves of absence in accordance with applicable state and local laws and regulations and company policy
- Hybrid work model with hubs in San Francisco, reputed company, and Chicago
reputed company
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