Senior Data Engineer, Health & Bioinformatics

Gradient AI Corp; Snowflake (AZ); On-site; USD 100,000 - 140,000; Full time

Job summary

Gradient AI Corp seeks a Senior Data Engineer to manage healthcare data pipelines for insurance clients. The role emphasizes expertise in bioinformatics and healthcare standards, requiring collaboration with data scientists to optimize data quality. This remote opportunity offers a flexible schedule and a supportive startup culture with generous stock options.

Benefits

Generous stock options

Flexible schedule

Full benefits package

Opportunities for learning and growth

Qualifications

• 7+ years with health, medical, or bioinformatics data.
• Expertise in health data privacy regulations (e.g., HIPAA).
• Comfortable working in cloud computing environments, preferably AWS.

Responsibilities

• Design and implement data systems for ML and AI models.
• Collaborate with data scientists on health-related data transformation.
• Ensure data pipelines meet privacy and security standards.

Skills

Python

SQL

Healthcare Data Standards

Data Orchestration

Big Data Tools

Education

BS in Computer Science, Bioinformatics, or a quantitative discipline

Tools

Airflow

Apache Spark (PySpark)

DataBricks

AWS

Snowflake

Job description

Remote

This is a fully remote opportunity

Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.

About the Role:

We are seeking a Senior Data Engineer with a deep understanding of healthcare data, including claims, clinical, patient-reported outcomes data, or bioinformatics, to design, build, and manage data pipelines for our health insurance clients. The ideal candidate is a lifelong learner with a proven ability to interpret complex health-related datasets. This role requires an expert in using Airflow to orchestrate ETL pipelines, ensuring the efficient, reliable movement of healthcare data across systems. A subject matter expert (SME) in health and bioinformatics data is essential for success in this role.

How you will make an impact:

• 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.
• Apply health and bioinformatics subject matter expertise to 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.

Skills needed to succeed:

• BS in Computer Science, Bioinformatics, or another quantitative discipline with 7+ years working with and interpreting health, medical, and bioinformatics data, including real-world healthcare datasets.
• Subject matter expertise (SME) in health and bioinformatics data, with a strong grasp of the complexities and challenges of processing medical and biological information.
• Knowledge of healthcare data standards (e.g., FHIR, HL7) and a solid understanding of healthcare data privacy and security regulations (such as HIPAA) are highly desirable.
• 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.
• Skilled in using data orchestration frameworks such as Airflow, Dagster, or Prefect.
• Comfortable working within cloud computing environments, preferably AWS, along with Linux systems.
• Ability to work with and visualize health and/or medical data, with Insurtech industry exposure, is considered a plus.

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• 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.

We are an equal opportunity employer.

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