All Cares is seeking a skilled Data Engineer to focus on AI compliance, ensuring our innovative AI-driven healthcare solutions meet stringent regulatory standards while optimizing data infrastructure for scalability and security.

All Cares is a leading healthcare technology company dedicated to leveraging AI to improve patient care and operational efficiency. We are looking for a Data Engineer – AI Compliance to join our dynamic team and play a crucial role in building robust data systems that comply with evolving AI regulations.

In this position, you will design, develop, and maintain data pipelines that integrate seamlessly with our AI models, ensuring data integrity, security, and adherence to global standards. You will collaborate with data scientists, compliance officers, and software engineers to identify risks in AI deployments and implement solutions that mitigate them. Your work will directly contribute to ethical AI practices, helping us deliver trustworthy technology to healthcare providers worldwide.

Key responsibilities include:

• Developing scalable ETL processes for handling large volumes of sensitive health data
• Conducting compliance audits on AI algorithms to detect and address biases or privacy issues
• Optimizing data storage and retrieval systems using cloud-native services
• Partnering with cross-functional teams to integrate compliance checks into the DevOps pipeline
• Staying updated on AI governance frameworks and recommending best practices

If you are passionate about the intersection of data engineering and AI ethics in healthcare, we encourage you to apply and help shape the future of compliant AI innovation at All Cares.

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• 3+ years of experience in data engineering roles, with a focus on AI and machine learning pipelines
• Proficiency in Python, SQL, and ETL tools such as Apache Airflow or Kafka
• Strong understanding of data privacy regulations like GDPR and HIPAA, especially in AI contexts
• Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)
• Excellent problem-solving skills and ability to work collaboratively in a remote team environment
• Familiarity with AI ethics, bias detection, and compliance auditing tools

• Competitive monthly salary range with performance bonuses
• Fully remote work setup with flexible hours to support work-life balance
• Comprehensive health insurance coverage and wellness programs tailored for healthcare professionals
• Professional development opportunities, including certifications in AI compliance and data engineering
• Collaborative and inclusive company culture with regular virtual team-building activities
• Access to cutting-edge tools and technologies in the AI and healthcare sectors
• Generous paid time off and remote work equipment stipend