Lead Data Engineer
Access Systems$60,000 - $90,000/year
Internship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare TechnologyIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, or a related field, and have at least 3 years of professional experience in data engineering, with proficiency in SQL and Python, and experience with modern data warehousing platforms such as AWS, Snowflake, or Databricks. Familiarity with dbt is preferred.
Responsibilities
As a Senior Data Engineer, you will develop and maintain reliable daily and near real-time pipelines for healthcare data ingestion and processing, drive the evolution of a medallion architecture, partner with Product and cross-functional teams to understand data needs, maintain and improve event-based architecture solutions, and support execution against key client implementations and team deliverables.
Skills
Data modeling
Pipeline development
ETL/ELT processes
Data transformation
Real-time data processing
EHR data integration
Data architecture
Collaboration with Data Scientists
Qventus
Automates healthcare operations using AI technology
About Qventus
Qventus provides a platform that uses artificial intelligence and machine learning to improve healthcare operations. The platform integrates data from Electronic Health Records and market sources to automate various care processes. By optimizing resource utilization and increasing visibility within healthcare facilities, Qventus helps reduce patient stays and enhances the quality of care. It also aims to alleviate staff burnout by minimizing cognitive load, allowing healthcare workers to spend more time with patients. Unlike many competitors, Qventus focuses on strategic partnerships and has demonstrated significant financial benefits for its clients, with some reporting over $10 million in annual savings. The goal of Qventus is to transform healthcare operations, making them more efficient and effective for both providers and patients.
Mountain View, CaliforniaHeadquarters
2012Year Founded
$108MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees
Benefits
Medical, dental & vision plans
Stock options
Annual learning & development stipend
Generous vacation
Employee referral & bonus programs
401(K) plan
Fitness reimbursement
FSA & HSA
Parental leave program
Catered meals & snacks
Quarterly hackathons & team events
Risks
Increased competition from AI healthcare startups like Olive and LeanTaaS.
Potential integration challenges with existing EHR systems could hinder platform adoption.
Data privacy concerns and regulatory scrutiny could impact operations and compliance.
Differentiation
Qventus uses AI and ML to optimize hospital operations in real-time.
The platform integrates EHR data to automate care operations and reduce staff burnout.
Qventus has proven success with significant financial benefits for healthcare facilities.
Upsides
Qventus secured $105M to expand AI automations and operational assistants.
The platform reduces hospital stay lengths and increases surgical volumes, saving millions.
Growing demand for AI tools enhances patient flow management in hospitals.
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