Job summary
Job post source
This job is directly from Qualified Health
Job overview
The Senior Data Engineer role at Qualified Health involves leading the design and implementation of scalable ETL pipelines to support the company's AI platform in healthcare, significantly impacting patient care through advanced data infrastructure.
Responsibilities and impact
The role requires architecting and deploying enterprise-grade data pipelines, managing end-to-end data infrastructure, ensuring data quality and operational excellence, mentoring engineers, and collaborating on technical roadmaps to enhance healthcare data processing.
Compensation and benefits
The position offers a competitive startup salary range of $160,000 to $220,000, equity packages, health, dental, and vision insurance, flexible working hours, and hybrid work options.
Experience and skills
Candidates must have 8+ years in data engineering with healthcare data expertise, proficiency in cloud technologies like Azure and Snowflake, strong programming skills in Python, Java, or Scala, and experience with ETL architecture and compliance standards like HIPAA.
Career development
The role provides significant visibility and growth potential, allowing the engineer to influence technical architecture and scale the platform across the healthcare ecosystem, working with cutting-edge AI technologies.
Work environment and culture
Qualified Health offers a vibrant, inclusive, and innovative work environment with flexible hours and hybrid work options, fostering creativity and impact in healthcare AI.
Company information
Qualified Health focuses on advancing healthcare through Generative AI, providing infrastructure for AI governance and real-time algorithm monitoring in partnership with leading health systems.
Job location and travel
The job offers flexible working hours and hybrid work options, indicating a mix of remote and on-site work possibilities.
Application process
Applicants are instructed to send their resume through the provided application link to join the mission of revolutionizing healthcare with AI.
Unique job features
The role stands out by offering the chance to work on AI-driven healthcare data infrastructure using modern cloud technologies and to directly impact patient care through innovative data solutions.
Company overview
Qualified Health is a company based in Brooklyn, NY, that operates an AI-based platform offering healthcare management solutions. The company focuses on helping individuals understand their eligibility for various healthcare programs and facilitates the application process for qualified health plans. Additionally, Qualified Health is involved in the Vitamins, Supplements & Health Stores industry, employing between 20 to 49 people. They face competition from over 422 other companies in the healthcare management sector.
How to land this job
Position your resume to showcase your extensive experience in healthcare data engineering, emphasizing your expertise in ETL pipeline architecture and hands-on implementation with modern cloud technologies like Azure and Snowflake.
Highlight your deep knowledge of healthcare data standards such as HL7v2, FHIR, and CDA, along with your ability to build scalable, reliable data processing solutions in regulated environments.
Apply through multiple platforms including Qualified Health's corporate careers page and LinkedIn to maximize your application visibility and increase your chances.
Connect with current data engineers or platform architects at Qualified Health on LinkedIn, initiating conversations by referencing recent innovations in healthcare AI or asking about their experience with Azure Data Factory and Synapse.
Optimize your resume for ATS by incorporating keywords from the job description such as 'ETL pipelines,' 'Azure Databricks,' 'healthcare data standards,' and 'CI/CD pipelines,' ensuring your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored applications, identify relevant job postings, and discover LinkedIn contacts for networking, freeing up more time to prepare for interviews and refine your skills.
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