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Full-Stack Analytics Engineer II

2 days, 9 hours ago
United States
Full-time
Mid Level
Analytics Engineer
Software Development
Apache Airflow CI/CD Cybersecurity Dagster dbt GCP Generative AI Prefect Python R Snowflake SQL UI Design
Apply Now
Aledade

Aledade

Aledade collaborates with independent practices, health centers, and clinics to establish and manage Accountable Care Organizations (ACOs) that prioritize primary care, enabling physicians to enhance patient care while maintaining their independence in...

Health Care Providers & Services
1K-5K
Founded 2014
$686M raised
View All Jobs 61

Description

  • Own the analytics and data ecosystem end to end, including data ingestion, modeling, maintenance, and delivery.
  • Partner with Data Platform and IT teams to ingest data from source systems such as HRIS, ATS, and Identity.
  • Build and maintain the middle data layer, including canonical models and semantic layers.
  • Implement dbt transformations, tests, lineage, and data contracts for ELT workflows.
  • Leverage Claude Code and other GenAI tools to accelerate full-stack development across data and application layers.
  • Create interactive dashboards and UI visuals that translate complex data into clear, compelling narratives.
  • Analyze complex datasets to identify trends and perform root cause analysis.
  • Collaborate with cross-functional leaders to refine and iterate key performance indicators.
  • Implement privacy-by-design practices, including PII minimization and role-based access control (RBAC).
  • Design, build, and optimize data pipelines, ETL processes, and CI/CD workflows.

Requirements

  • 3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products.
  • Expert SQL skills.
  • Deep experience with dbt and dimensional or event-temporal modeling.
  • Demonstrated experience using Claude Code and other generative AI tools to accelerate full-stack development, data modeling, and UI creation.
  • Hands-on experience with a cloud data warehouse such as Snowflake or BigQuery.
  • Experience with an orchestrator such as Dagster, Prefect, or Airflow.
  • Proficiency in Python or R for data transformations, statistical analysis, and automation.
  • Strong communication skills with a track record of translating analytical findings into actionable business insights.
  • Advanced degree in Statistics, Data Science, Psychology, Economics, or a related quantitative field preferred.
  • Experience integrating HRIS, ATS, payroll, or identity sources and hardening metrics for executive-level decisions preferred.
  • Familiarity with data privacy regulations such as GDPR and CCPA, and ethical considerations in analytics preferred.
  • Experience building full-stack web applications and polished UIs to surface data insights preferred.
  • Experience with security and systems that handle sensitive data preferred.

Benefits

  • Flexible work schedules and remote work options available for many roles.
  • Health, dental, and vision insurance paid up to 80% for employees, dependents, and domestic partners.
  • Robust time-off plan with 21 days of PTO in the first year.
  • Two paid volunteer days and 11 paid holidays.
  • 12 weeks of paid parental leave for all new parents.
  • Six weeks of paid sabbatical after six years of service.
  • Educational Assistant Program and Clinical Employee Reimbursement Program.
  • 401(k) with up to 4% match plus stock options.

Interested in this position?

Apply directly on the company website

Apply Now

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