4 дня назад
Senior Analytics Engineer (Healthcare)
165 000 - 185 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (Healthcare): Building enterprise analytical models, semantic architecture, and governed data products for proactive healthcare with an accent on dimensional modeling, data quality, and privacy-aware governance. Focus on designing reusable metrics and dimensions, establishing testing and observability standards, and leading cross-domain architecture across clinical, research, product, finance, growth, and AI stakeholders.
Location: Remote, USA; applicants must be legally authorized to work in the United States and must not require current or future visa sponsorship.
Base salary: $165,000–$185,000 per year in local currency, depending on experience.
Company
develops proactive healthcare through whole-body MRI scanning, integrated hardware and software, AI, and a patient-centric clinical experience.
What you will do
- Lead enterprise analytical modeling standards, including domain boundaries, shared entities, dimensional design, and semantic-layer architecture.
- Establish standards for model design, testing, documentation, lineage, observability, access, code review, and release management.
- Guide the transition from one-off marts and dashboard-specific logic to reusable, governed data products.
- Lead architecture reviews, system design, technical decisions, and mentorship across the Data & Analytics team.
- Define trusted measures and dimensions for Sigma, analytical workflows, and governed AI experiences.
- Partner with Product, Engineering, Finance and Accounting, Clinical, Research, Growth and Marketing, and AI stakeholders on data governance and quality.
Requirements
- At least 4 years of experience in analytics engineering, data engineering, data architecture, or a related discipline.
- Deep expertise in SQL, dbt, dimensional modeling, data warehouse design, and reusable analytical data products.
- Experience designing semantic or metrics layers for multiple analytical consumers.
- Knowledge of testing, observability, lineage, metadata, access controls, privacy-aware architecture, and software development lifecycle practices.
- Ability to lead architecture through influence, document technical decisions, mentor experienced engineers, and connect technical choices to organizational risk, speed, cost, and business outcomes.
- Legal authorization to work in the United States without employer visa sponsorship is required.
Nice to have
- Experience with Databricks, Fivetran, Sigma, and dbt MetricFlow or a comparable semantic-layer platform.
- Healthcare data experience in a regulated environment, including privacy, governance, and responsible data use.
- Experience with data contracts, domain-oriented data products, data governance operating models, or modernization of analytical environments.
Culture & Benefits
- Mission focused on proactive healthcare and positive patient impact.
- Flexible vacation policy and regular opportunities for team connection and socializing.
- Free whole-body scans for team members.
- Health, dental, vision, and mental health coverage.
- 401(k) retirement savings plan for eligible employees; employee contributions are available, with no current company match.
- Growth opportunities and flexible career development paths.
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