Note: The job is a remote job and is open to candidates in USA. DeepRec.ai is partnering with an AI focused HealthTech company centered around early-stage cancer detection. This remote Data Engineering role focuses on building and maintaining scalable pipelines for large healthcare datasets, ensuring data quality and compliance with healthcare regulations.

Responsibilities

• Work with Data Scientists and ML Engineers to define data needs for LLM and ML models
• Build and maintain scalable data pipelines for large healthcare datasets
• Ensure data quality through cleaning, validation, and monitoring
• Design efficient data structures and schemas for model training and use
• Source new data while ensuring compliance with healthcare regulations (e.g., HIPAA)

Skills

• Bachelor's degree in Computer Science, Engineering, or a related field
• Experience as a Data Engineer working with large-scale or big data systems such as Apache Spark
• Strong programming skills in Python, Scala, or Java
• Experience with ETL pipelines, data warehousing, and data modelling
• Familiarity with cloud platforms (AWS, GCP, or Azure) and tools like Apache Spark
• Strong problem-solving skills
• Master's degree in Computer Science, Engineering, Data Science, or a related field
• Experience working with healthcare data and standards such as FHIR or HL7
• Familiarity with machine learning concepts and LLM fine-tuning workflows
• Experience using data orchestration tools such as Apache Airflow

Benefits

• Competitive salary, benefits, and flexible remote/hybrid working options
• Continuous learning with exposure to cutting-edge AI, ML, and healthcare technologies

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