[Hiring] Senior Data Engineer @Gradient AI

Role Description

We are seeking a Senior Data Engineer to lead the improvement and refinement of scalable data infrastructure, data platforms, and data architecture that power our predictive analytics solutions.

• Design, build, and implement data systems to support ML and AI models for our health insurance clients, ensuring strict compliance with healthcare data privacy and security regulations (e.g., HIPAA).
• Develop tools for extracting, processing, and profiling diverse healthcare data sources, including EHRs, medical claims, pharmacy data, and genomic data.
• Collaborate with data scientists to transform large volumes of health-related and bioinformatics data into modeling-ready formats, prioritizing data quality, integrity, and reliability in healthcare applications.
• Build and maintain infrastructure for the extraction, transformation, and loading (ETL) of data from a variety of sources using SQL, AWS, and healthcare-specific big data technologies and analytics platforms.
• Ensure data pipelines meet the unique requirements of health, medical, and bioinformatics data processing, including translating complex medical and biological concepts into actionable data requirements.

Qualifications

• BS in Computer Science, Bioinformatics, or another quantitative discipline with 4+ years of relevant working experience.
• Deep expertise in health, medical, and bioinformatics data, including real-world healthcare datasets, with a strong understanding of the complexities and challenges of processing medical and biological information.
• Proficiency in Python and SQL within a professional environment.
• Hands-on knowledge of big data tools like Apache Spark (PySpark), Databricks, Snowflake, or similar platforms.
• Experience with data orchestration frameworks such as Airflow, Dagster, or Prefect.
• Experience with modern DevOps practices, including CI/CD, IaC (Terraform), containerization (Docker/Kubernetes), and cloud environments (AWS preferred).
• Knowledge of data transformation tools, such as dbt, is a plus.

Benefits

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
• Ample opportunities to learn and take on new responsibilities.

Salary Range

$130,000-165,000 base salary annually. This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package.