Senior Data Engineer, iQueue for Operating Rooms (San Francisco Bay Area)
LeanTaaS
Data Science
San Francisco, CA, USA
Posted on Mar 22, 2025
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. We have raised more than $300 million from top-tier investors such as Bain Capital, Insight Partners, and Goldman Sachs. We have been named among the top 100 AI companies in the world.
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. This includes handling customer-specific data requirements, optimizing system scalability, and addressing architectural challenges.
Our office is in Santa Clara, CA, and for this role we prefer candidates who can occasionally work onsite.
WHAT YOU’LL DO
- Design, develop and maintain secure, scalable, high-performance data pipelines that transform clients’ data into the format used by our product.
- Collaborate with engineers, product managers, and analysts, to turn business needs into effective and scalable data solutions.
- Collaborate with both internal teams and external customers to resolve complex data issues and ensure data reliability and optimize system performance.
- Ensure data quality end-to-end by maintaining high accuracy and consistency when working with complex data systems. Uphold meticulous attention to detail to meet all business and healthcare security requirements.
- Stay up to date with emerging technologies, healthcare data standards, and industry best practices. Foster a culture of continuous learning within the team and host knowledge sharing sessions.
- Promote adherence to best practices and mentor less experienced engineers within the team.
WHAT YOU’LL BRING
- The ability to own and lead projects from start to finish in a fast-paced environment.
- 8+ 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).
BONUS POINTS IF YOU HAVE
- Experience with application development, preferably with Java or Scala.
- Familiarity with healthcare data standards (e.g., HL7, EHR, PHI).
- Familiarity with CI/CD pipelines (e.g., Jenkins).
WHAT YOU'LL GET
- 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
Candidates must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
LeanTaaS is an equal opportunity employer committed to promoting an inclusive work environment free of discrimination and harassment. We value diversity, inclusion, and aim to provide a sense of belonging for everyone. All qualified applicants for employment will be considered without regard to race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you require assistance during the application process, please reach out to accommodations@leantaas.com. LeanTaaS will reasonably accommodate qualified individuals with disabilities to the extent required by applicable law.
Please note: LeanTaaS is not accepting agency resumes at this time, and we are not responsible for any fees related to unsolicited resumes. Thank you.