Data Engineer

Designs and builds reliable data pipelines and data infrastructure to support analytics and reporting.

Filled
Location :
Remote
Company :
iCUBE Inc
Date Posted :
April 9, 2025
Pay :
Monthly
Job Description :
iCUBE, Inc. is seeking a Data Engineer for an AI/ML Environment You: “Why?” is your favorite question. “How?” will keep you up at nights. You have an unending need to understand how things work and an unerring ability to figure out how to improve them. You get excited about new and emerging technologies. You can visualize not one, but multiple solutions. You are the first person people turn to for technical expertise. Us: Small but established company that has fast thinkers and fast workers who crush things for 8 hours and then go explore that thing called life balance. Staff that generally work in sweats (because, really, who can see anything but your face when working remotely) and who love to explore possibilities, solutions and opportunities. If You would fit well with Us, then we need to talk to you. Three interviews max. One 15 minute phone screening (and 15 minutes will be 15 minutes, be succinct). One standard online interview. Possibly one upper management online interview

Responsibilities

  • Develop Data Mappings from source EHRs to a centralized database.
  • Design, develop, and manage data pipelines to extract text from Electronic Health Record System through API and JSON interface.
  • Design and manage relational, non-relational and vector databases.
  • Optimize database performance for query efficiency and speed and ensure data is clean and validated..
  • Monitor and maintain data integrity and quality across all systems.
  • Utilize AWS services such as AWS Glue, AWS RDS (PostgreSQL), Amazon S3, and AWS Lambda (or equivalent) to build scalable and efficient data solutions.
  • Ensure robust data storage solutions with high availability and disaster recovery capabilities.
  • Implement best practices for data security and compliance in line with healthcare regulations.
  • Create and maintain Tableau dashboards.
  • Work closely with AI/ML developers and data scientists to understand data requirements and deliver effective solutions.
  • Communicate technical concepts and progress to non-technical stakeholders.
  • Participate in code reviews, team meetings, and collaborative development activities.

Technical Qualification

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • Proven expertise in designing and managing data pipelines, databases, data integration solutions and data/performance optimization
  • Proficiency with AWS services, including but not limited to Glue, Athena, S3, and Lambda.
  • High expertise with programming skills in SQL and proficiency with Python, and other relevant languages.
  • Experience with PII and PHI.
  • Experience with healthcare data and familiarity with healthcare regulations (e.g., HIPAA) is a plus.
  • Strong communication skills and ability to work collaboratively in a team

Additional Qualifications:

  • U.S. Citizenship or Permanent Residency
  • Able to successfully obtain government public trust clearance
  • Healthcare experience is not necessary, but it will definitely elevate your standing
Job Type :
Full Time
Benefits:

Benefits

  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Vision insurance

‍

Shift : 
8 hour shift Monday to Friday
Work Location : 
Remote
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