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Open nowPosted 212 days ago

Data Engineer

iCareManager24 open roles

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Your applicationOpen nowData EngineeriCareManager

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  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on iCareManager's own form.

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 212 days ago

The posting

Role Overview: We are looking for a skilled Data Engineer to join our growing team at iCareManager. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. This role will play a key part in enabling analytics, reporting, and AI-driven solutions within the healthcare domain. Key Responsibilities Design, develop, and maintain robust and scalable data pipelines Build and optimize ETL/ELT processes for structured and unstructured data Develop and manage data warehouses and data lakes Ensure data quality, integrity, and availability across systems Collaborate with product, engineering, and analytics teams to understand data requirements Integrate data from multiple sources (APIs, databases, third-party systems) Monitor and troubleshoot data pipeline issues and performance bottlenecks Implement data security and compliance best practices Support reporting, analytics, and machine learning use cases Requirements Required Skills & Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field 1–3 years of experience in data engineering or a similar role Strong experience with SQL and database design (PostgreSQL, MySQL, or similar) Experience with data pipeline tools (e.g., Airflow, Apache Kafka, etc.) Proficiency in Python (or similar programming languages) Experience with cloud platforms (AWS, Azure, or GCP) Understanding of data warehousing concepts and architectures Familiarity with REST APIs and data integration techniques Preferred Qualifications Experience in healthcare or health-tech domain Exposure to big data technologies (e.g., Spark, Hadoop) Knowledge of data modeling techniques Experience supporting AI/ML workflows Familiarity with BI tools (e.g., Power BI, Tableau) Benefits Opportunity to work in a fast-growing, AI-driven healthcare environment Collaborative and growth-oriented culture Competitive salary and benefits Flexible work environment

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