Data Engineer

What is Ansible Health?

Ansible Health unites physicians, nurses, respiratory therapists, and tech experts from premier institutions like Columbia, Johns Hopkins, Google, and Amazon to revolutionize care for patients with polychronic conditions, particularly those with a cardiopulmonary focus. We merge elite clinical expertise with cutting-edge technology to deliver personalized, efficient care at scale. Our team's groundbreaking research, published in leading journals like Nature and PLOS, underscores our commitment to innovation. Backed by Bessemer, First Round Capital, AlleyCorp, Breyer Capital, and Inflect Capital, we're a well-funded Series A startup partnering with leading health systems, payors, and providers nationwide. Our mission is genuinely improving patient outcomes through data-driven care, not just optimizing metrics. If you're passionate about transforming healthcare through technology and data, join our diverse team in making a tangible impact.

The Job at a Glance

We are seeking a skilled Data Engineer to join our innovative team. In this role, you will design, build, and maintain the robust data infrastructure that powers our healthcare analytics and machine learning solutions. You'll develop efficient ETL pipelines to integrate clinical, operational, and device-generated data from diverse sources, ensuring our data scientists and clinicians have seamless access to high-quality, well-organized data.

Working at the intersection of healthcare and technology, you'll implement data governance practices, optimize database performance, and create scalable data solutions that directly support our mission of transforming care for patients with complex cardiopulmonary conditions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines to ingest, process, and integrate data from multiple healthcare systems, medical devices, and external sources
• Build and optimize data models and architectures that support clinical analytics, machine learning applications, and operational reporting
• Implement robust data quality controls, validation procedures, and monitoring systems to ensure data accuracy and reliability
• Create and maintain data documentation, including data dictionaries, lineage diagrams, and process workflows
• Collaborate with data scientists to provide efficient data access patterns and support the deployment of ML models into production
• Develop APIs and data services that enable secure, compliant access to healthcare data for internal teams and external partners
• Implement data security and privacy measures that ensure compliance with HIPAA and other healthcare regulations
  
  

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field
• 3+ years of experience in data engineering or similar roles
• Strong programming skills in Python and proficiency with SQL
• Experience with ETL tools and frameworks (Airflow, dbt, or similar)
• Hands-on experience with both relational databases (PostgreSQL, MySQL) and NoSQL technologies
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services
• Knowledge of data modeling, warehouse design, and dimensional modeling concepts
• Understanding of data security best practices, particularly in sensitive data environments
  
  

Preferred Skills

• Experience working with healthcare data, particularly EHR systems, FHIR, or HL7 standards
• Knowledge of HIPAA compliance requirements for data handling and processing
• Familiarity with real-time data processing using technologies like Kafka or Kinesis
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Understanding of data governance frameworks and implementation
• Experience supporting machine learning workflows and model deployment
• Knowledge of cardiopulmonary conditions or healthcare analytics
  
  

What we offer

• Opportunity to make a significant impact on patient care for complex conditions and shape the future of digital health.
• A highly collaborative, mission-driven, and innovative work environment.
• Exposure to cutting-edge health technology, AI applications, and data practices.
• Competitive salary, equity options, and comprehensive benefits package.
• Significant opportunities for professional development and career growth.
• Work alongside experts from top clinical and technology institutions.