Data Engineer

Join Eon, a leader in healthcare innovation dedicated to making patients healthier and healthcare more affordable. Our flagship solution, Eon Patient Management (EPM), leverages advanced technology to identify patients at risk and streamline clinical decision-making. By driving adherence to care pathways across multiple disease states, we help clinicians maximize their impact, improving patient outcomes and supporting healthcare systems both clinically and financially. As pioneers in incidental tracking and AI-driven patient management, we serve a diverse range of healthcare enterprises, from small health systems to large national networks. Our dynamic team offers opportunities to work locally in Glendale or remotely.

Key Responsibilities:
- Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and standardize healthcare data from various sources such as electronic health records (EHRs), wearable devices, and claims data.
- Ensure data quality, privacy, and compliance with healthcare regulations including HIPAA and GDPR.
- Collaborate cross-functionally with product managers, data scientists, clinical experts, and software engineers to develop data solutions that enhance analytics and clinical decision-making.
- Develop and optimize cloud-based data infrastructure and data warehouses using platforms like AWS RDS and Snowflake.
- Maintain secure, scalable, and well-documented data models for both internal and external stakeholders.
- Monitor pipeline performance, troubleshoot issues, and continuously improve data reliability and availability.
- Stay current with data engineering best practices and evolving healthcare data standards such as FHIR and HL7.

Required Qualifications:
- 2 to 4 years of experience in a Data Engineering role, preferably within healthcare, biotech, or life sciences sectors.
- Strong proficiency in SQL and experience managing large-scale relational databases.
- Skilled in Python or a similar programming language for data engineering tasks.
- Experience with cloud platforms such as GCP, AWS, or Azure, and data orchestration tools like Airflow or dbt.
- Solid understanding of data modeling, data warehouse design, and data integration patterns.
- Familiarity with healthcare data formats and standards (e.g., ICD-10, CPT, FHIR, HL7) is highly advantageous.
- Knowledge of data privacy, security protocols, and compliance frameworks including HIPAA and SOC 2.
- Excellent problem-solving skills, attention to detail, and ability to thrive in a collaborative team environment.

Preferred Qualifications and Benefits:
- Experience with real-time data processing tools such as SQL, Python, and Airflow.
- Background supporting clinical research or healthcare analytics data needs.
- Familiarity with business intelligence tools like Looker, Tableau, or Power BI.
- Exposure to MLOps or data science workflows is a plus.

At Eon, we foster a high-energy, culture-driven workplace where your contributions directly impact healthcare outcomes. Our comprehensive benefits package includes a competitive salary, health insurance, referral bonuses, generous vacation time, and paid maternity and paternity leave. We support flexible work-from-home arrangements and provide office amenities such as a lunch facility, travel and internet allowances, and company-provided equipment including laptops and monitors. Additionally, we are committed to your professional development and career growth, supported by a team of passionate and talented colleagues.

Eon is an equal opportunity employer that values diversity and inclusion, ensuring a respectful and supportive environment for all employees. Explore more about us at eonhealth.com.