AI Data Analyst /​ Data Engineer - Remote Position

About the Role

We're hiring an AI Data Analyst / Data Engineer to join our fast-growing healthcare organization. This is a fully remote position based in the United States. As an AI Data Analyst / Data Engineer, you will play a crucial role in accelerating AI-driven analytics and strengthening our data infrastructure to reduce organizational risk.

What You'll Do

• Collaborate with AI tools to generate actionable business insights that support strategic and operational decision-making.
• Review, validate, and continuously improve the context and inputs provided to analytics AI systems to enhance output quality and relevance.
• Support the organization's transition to an AI-native ELT (Extract, Load, Transform) pipeline by evaluating, implementing, and documenting emerging data engineering technologies.
• Assist with the adoption of full CI/CD (Continuous Integration/Continuous Deployment) governance practices for data management, including pipeline testing, version control, and deployment workflows.
• Review AI-developed analytical projects and outputs for accuracy, completeness, and business alignment; identify errors and recommend improvements.
• Coach and upskill internal stakeholders on how to effectively interact with AI tools to improve the quality and usefulness of their analytical outputs.
• Monitor data infrastructure performance and contribute to efforts that reduce organizational risk through reliable, well-governed data practices.

Requirements

• Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, Information Systems, or a related field.
• 3–5+ years of experience in a data analyst, analytics engineer, or related data role.
• Demonstrated experience using SQL for data querying, transformation, and analysis in production environments.
• Experience with ELT/ETL pipeline concepts and tools, including exposure to modern data stack technologies (e.g., dbt, Fivetran, Airbyte, or similar).
• Familiarity with CI/CD principles and version control practices as applied to data workflows (e.g., Git, GitHub Actions, or equivalent).
• Experience working with or alongside AI/ML tools for analytical purposes, including prompt refinement, output validation, or AI-assisted insight generation.
• Experience in healthcare, telehealth, or regulated data environments.

Nice to Have

• Proficiency in Python for data manipulation, automation, and analysis (e.g., pandas, NumPy, or similar libraries).
• Familiarity with AI-native analytics tools and prompt engineering techniques for business intelligence applications.
• Understanding of data governance, data quality best practices, and CI/CD principles for data management.

What We Offer

• Competitive salary ranging from $100,000 to $120,000 annually.
• Fully remote work environment with flexible hours.
• Opportunity to work with cutting-edge AI tools and technologies.
• Supportive and inclusive company culture focused on employee growth.
• Access to ongoing professional development and training.