LeanTaaS is a company that helps hospitals and ambulatory service providers optimize their capacity and operations through AI, machine learning, and predictive analytics. By leveraging these technologies, LeanTaaS enables healthcare organizations to maximize capacity, improve ROI, and enhance patient experience without needing more capital or staff. Their solutions focus on areas such as operating rooms, infusion centers, and inpatient flow, aiming to streamline patient throughput, optimize staff utilization, and reduce staff burnout. The company also offers 'Transformation as a Service' to ensure successful implementation and change management within healthcare settings. Their iQueue solution suite is cloud-based, providing real-time insights and forecasting tools to improve scheduling, capacity management, and decision-making, ultimately benefiting patients, providers, and the healthcare system's bottom line.
lower wait times • nurse & patient satisfaction • predictive modeling • data science • patient access
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
☁️ SaaS
💰 $130M Series D on 2020-12
April 14
LeanTaaS is a company that helps hospitals and ambulatory service providers optimize their capacity and operations through AI, machine learning, and predictive analytics. By leveraging these technologies, LeanTaaS enables healthcare organizations to maximize capacity, improve ROI, and enhance patient experience without needing more capital or staff. Their solutions focus on areas such as operating rooms, infusion centers, and inpatient flow, aiming to streamline patient throughput, optimize staff utilization, and reduce staff burnout. The company also offers 'Transformation as a Service' to ensure successful implementation and change management within healthcare settings. Their iQueue solution suite is cloud-based, providing real-time insights and forecasting tools to improve scheduling, capacity management, and decision-making, ultimately benefiting patients, providers, and the healthcare system's bottom line.
lower wait times • nurse & patient satisfaction • predictive modeling • data science • patient access
201 - 500 employees
Founded 2015
🤖 Artificial Intelligence
⚕️ Healthcare Insurance
☁️ SaaS
💰 $130M Series D on 2020-12
• We are a growth stage company that creates software solutions combining lean principles, predictive and prescriptive analytics, and machine learning to transform hospital and infusion center operations. • More than 190 health systems and over 1,200 hospitals and centers across 49 states rely on our award-winning products and expert change management services to increase patient access, decrease wait times, and reduce healthcare delivery costs. • The Data Engineering (DE) team is committed to mastering healthcare data and ensuring seamless, accurate data management across our systems. • We empower users with high-quality data, enabling data-driven decision-making in operating room management. • The DE team plays a key role in both building and supporting our product. • We make sure iQueue for Operating Rooms runs on accurate, reliable data. • Even though our software can handle imperfect data, our users expect precision—so data quality is always our top priority. • As part of the Engineering organization, we work closely with other engineers, product managers, and internal teams to solve complex problems. • Our office is located in Santa Clara, CA, and for this role, we prefer candidates who can join the team in person about once a month for face-to-face collaboration.
• The ability to own and lead projects from start to finish in a fast-paced environment. • 6+ years of experience in data engineering or a similar field. • 5+ years of experience with data orchestration tools, like Airflow. • Solid skills in SQL and Python. • Extensive experience in developing and overseeing scalable data architectures and ETL pipelines. • Proficiency with Docker and containerized workflows. • Expertise with AWS services like S3, SQS, and Lambda. • Deep experience with data warehousing and data lake, including relational databases (like MySQL and Redshift) and NoSQL databases (like DynamoDB).
• Intellectual and emotional satisfaction of solving tough operational problems in healthcare while improving patient access and saving lives! • Competitive compensation package that includes base salary, target bonus, and stock options • 401(k) Match • Comprehensive healthcare benefits • Generous Paid Time Off and Parental Leave • Monthly reimbursement for Skill Building • Monthly reimbursement for Wellness, Transportation, and/or Home Office • Education Reimbursement for select courses/programs
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🇺🇸 United States – Remote
💵 $120k - $162.5k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
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