- Company Name
- Addison Group
- Job Title
- Senior Healthcare Analytics Engineer - Contractor (Remote, MUST be in USA)
- Job Description
-
Job Title: Senior Healthcare Analytics Engineer – Contractor
Role Summary:
Design, develop, and optimize data models and transformations for a healthcare analytics platform. Deliver production-ready, high‑quality, BI‑ready datasets and ensure data quality, scalability, and performance in a cloud environment.
Expectations:
Complete end‑to‑end analytics‑engineering deliverables, including dbt model design, SQL transformation development, data quality frameworks, and documentation. Collaborate with data engineers, analysts, and product stakeholders to productionize pipelines and meet project milestones.
Key Responsibilities
• Design and implement dbt models, dimensional structures, and semantic layers tailored to healthcare analytics use cases.
• Develop modular, tested SQL transformations that generate reusable BI‑ready datasets.
• Build and maintain data quality frameworks, validation tests, and lineage visibility.
• Partner with data engineering and analytics teams to productionize pipelines and ensure reliability.
• Document data models, metrics, and business logic for cross‑functional teams.
• Act as a consultant to stakeholders (e.g., actuaries, analysts, product) to translate requirements into scalable data solutions.
Required Skills
• Minimum 5 years analytics/BI/data engineering experience with strong AWS exposure.
• 3 + years working with healthcare payer/claims or membership data.
• Expertise in dimensional modeling and semantic layer design.
• Advanced SQL proficiency and hands‑on dbt experience (core or cloud).
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift) and performance tuning.
• Familiarity with orchestration tools such as Airflow, Dagster, or Prefect.
• Proficiency in Git, CI/CD, and modern engineering workflows.
• Excellent communication and stakeholder‑management skills.
Required Education & Certifications
• Bachelor’s degree in Computer Science, Data Engineering, Statistics, or related field (or equivalent professional experience).
• AWS-related certifications (e.g., SnowPro, Redshift) are preferred.