Freelance Senior Data Engineer (Healthcare / Research) – Azure & Databricks

4 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Company Description

ThreatXIntel is a startup dedicated to providing high-quality and customized cyber security solutions to businesses and organizations. Our services include cloud security, web and mobile security testing, DevSecOps, and cloud security assessments, tailored to meet the unique needs of each client. By continuously monitoring and testing digital environments, we proactively identify and address vulnerabilities. ThreatXIntel is committed to delivering affordable and reliable security solutions, ensuring peace of mind for clients as they focus on business growth. Join us in our mission to protect digital assets through innovative approaches to cyber security.


Role Description

Freelance Senior Data Engineer

Key Responsibilities

  • Data Integration & Processing:

    Architect and implement reliable pipelines to ingest and transform high-volume healthcare data from sources such as

    EHR, clinical systems, research databases, and external feeds

    .
  • ETL/ELT Development (Azure + Databricks):

    Build and optimize ETL/ELT workflows in

    Azure

    and

    Databricks

    to ensure data quality, consistency, integrity, and traceability.
  • Cloud Data Platform:

    Implement cloud-native data solutions leveraging services such as

    Databricks

    and

    Azure SQL Database

    (and related Azure data services where required).
  • Data Governance & Security:

    Apply governance standards, access controls, encryption, auditing, and compliance practices to protect sensitive healthcare data (HIPAA/GDPR).
  • Performance Monitoring:

    Monitor pipeline performance, troubleshoot failures, and optimize for cost, reliability, and scalability.
  • Collaboration & Leadership:

    Translate stakeholder requirements into technical solutions; provide mentorship and technical guidance to junior/associate data engineers.
  • Continuous Improvement:

    Improve team workflows, adopt best practices, and stay updated on modern data engineering and transformation patterns.
  • Support additional duties aligned to unit/department needs.

Required Qualifications

  • 4+ years

    of experience in data engineering / database management / related roles (more preferred for “Senior” scope).
  • Hands-on experience delivering ETL/ELT pipelines in

    Azure and Databricks

    .
  • Experience working in a

    healthcare or research environment

    with regulated data.
  • Ability to lead moderately complex projects with minimal oversight.
  • EPIC Clarity Data Model

    exposure preferred/required (must be completed within

    6 months

    of start, if not already completed).
  • Bachelor’s degree in Computer Science / Information Systems or equivalent practical experience.

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