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Data Engineer - Remote

Posted 2 days ago
Data Analysis
Full Time
USA

Overview

Ansible Health is seeking a skilled Data Engineer to design, build, and maintain robust data infrastructure that powers healthcare analytics and machine learning solutions.

In Short

  • Design, develop, and maintain scalable data pipelines from various healthcare systems.
  • Build and optimize data models for clinical analytics and machine learning.
  • Implement data quality controls and validation procedures.
  • Create and maintain data documentation.
  • Collaborate with data scientists for efficient data access.
  • Develop APIs and data services for secure data access.
  • Ensure compliance with HIPAA and data security measures.

Requirements

  • Bachelor's or Master's degree in Computer Science or related field.
  • 3+ years of experience in data engineering.
  • Strong programming skills in Python and SQL.
  • Experience with ETL tools like Airflow or dbt.
  • Hands-on experience with relational and NoSQL databases.
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Knowledge of data modeling and warehouse design.
  • Understanding of data security best practices.

Benefits

  • Opportunity to impact patient care for complex conditions.
  • Collaborative and innovative work environment.
  • Exposure to cutting-edge health technology and AI applications.
  • Competitive salary, equity options, and comprehensive benefits.
  • Opportunities for professional development and career growth.
  • Work alongside experts from top clinical and technology institutions.
AnsibleHealth logo

AnsibleHealth

AnsibleHealth is a forward-thinking healthcare technology company dedicated to improving patient outcomes through innovative solutions. By leveraging advanced data analytics and artificial intelligence, AnsibleHealth aims to streamline healthcare processes, enhance decision-making, and empower healthcare providers. The company is committed to transforming the healthcare landscape by providing tools that facilitate better communication, efficiency, and patient care.

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