Ansible Health

Data Engineer

Ansible Health

full-time

Posted on:

Location Type: Remote

Location: Remote • New York • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAWSAzureCloudDockerETLGoogle Cloud PlatformKafkaKubernetesMySQLNoSQLPostgresPythonSQL

About the role

  • 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.

Requirements

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLETLAirflowdbtPostgreSQLMySQLNoSQLAWSGCP