Gradient AI

Data Engineer

• 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.

Senior Data Engineer

QA Engineer

• Work collaboratively with cross-functional teams to identify business and functional test scenarios.
• Develop, maintain, and execute test plans and test cases to ensure that all software features and functionality are thoroughly tested.
• Document test cases of new features or existing functionality where applicable.
• Develop and execute automated front-end testing scripts using industry-standard tools and technologies.
• Maintain and update automated test cases to ensure that they meet functional and non-functional requirements.
• Prepare and modify test data where needed.
• Identify, troubleshoot, record, and document software defects.
• Provide timely and detailed feedback to developers, stakeholders and project managers on software quality issues, test results and product performance. Communicate issues and risks to project teams and stakeholders.
• Continuously monitor and improve the automated testing process to ensure that it is efficient, effective and aligned with industry best practices.

Senior QA Engineer

• 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.

Senior Data Engineer

Senior QA Engineer

Staff Data Engineer