4 дня назад
Analytics Engineer, Unity (Healthcare)
120 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer, Unity (Healthcare) (dbt/SQL/Python): Building scalable analytics-ready data products and maintainable data models for pharmacy benefit management and care navigation with an accent on healthcare data transformation, data quality, auditability, and self-service analytics. Focus on designing production-grade dbt models, optimizing cloud data warehouse performance, implementing testing and observability, and enabling AI-assisted analytics engineering.
Location: Remote
Salary: $120,000–$150,000 per year; compensation depends on geographic location, experience, and qualifications.
Company
is a healthcare technology company that helps patients find better care and medications through a mobile platform, clinicians, pharmacists, and on-demand health guides. The company is headquartered in New York City and has satellite offices in Denver and Dallas.
What you will do
- Design, build, and maintain scalable dbt-based data models supporting pharmacy benefit management and care navigation.
- Transform complex pharmacy benefits and healthcare workflows into transparent, maintainable, and auditable data products.
- Partner with analytics, data engineering, clinical, product, client success, operations, and business stakeholders.
- Implement automated data quality checks, testing frameworks, reconciliation processes, documentation, lineage, and observability.
- Optimize data models and cloud warehouse performance for large-scale datasets and self-service business intelligence.
- Build data foundations for AI-assisted insight generation and future agentic analytics engineering use cases.
Requirements
- 3+ years of experience in analytics engineering, data modeling, data warehousing, or a related field.
- Strong experience with dbt and advanced SQL; experience developing transformations and workflows with Python.
- Understanding of dimensional modeling, medallion architecture, semantic modeling, and scalable data architecture.
- Experience with production-grade data models, data quality testing, documentation, and cloud warehouses such as Amazon Redshift, Snowflake, or BigQuery.
- Experience orchestrating and monitoring pipelines with tools such as Apache Airflow or Dagster, preferably in AWS environments.
- Familiarity with Git, CI/CD, pull requests, testing, deployment workflows, and AI-assisted engineering practices.
Nice to have
- Experience with Claude, Claude skills, Model Context Protocol, or similar AI-enabled development and analytics tooling.
Culture & Benefits
- Remote work arrangement.
- Work on healthcare products focused on improving patient outcomes and reducing healthcare costs.
- Environment centered on human-first collaboration, constructive debate, grit, and continuous improvement.
- Inclusive workplace committed to equal employment opportunity and diverse perspectives.
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