Sutter Health · 12 hours ago
AI Engineer
San Francisco
Full-time
Hybrid
Senior Level, Lead/Staff
$145K/yr - $218K/yr
8+ years expSutter Health is a healthcare organization seeking an AI Engineer to develop their analytic data infrastructure. The role involves ensuring high-quality data management and creating scalable data pipelines for effective decision-making.
Health CareHospitalNon Profit
Responsibilities
Responsible for developing Sutter Health’s analytic data infrastructure
This includes all aspects of how data is ingested, stored, collected, governed, cleansed, accessed, and used
It includes making sure that the data used by the organization is of the highest quality and is made available as soon as possible in a format that allows the business to make critical decisions based on the data
Utilizes tools and infrastructure such as scalable data pipelines to manage high volume and high-speed data storage and retrieval, as well as automated testing and tools for improving data quality
Works with all types of data including batch and streaming data, structured, semi-structured and unstructured data, files, web downloads, and other sources of data
Creates and improves processes required by other data-dependent function including analytics, strategic business intelligence, and data science
Uses state-of-the-art methods to capture, route and store data, combining information from different sources, transforming it to improve the data’s reliability, quality and usability
Develops and tests new architectures that enable data extraction, automation, and modeling for predictive or prescriptive analytic purposes
Sets the standard for high-value high quality datasets that are accurate, timely, secure and well-suited to strategic analytic purposes
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Management, or Healthcare Administration
8 years recent relevant experience
Experience creating data pipelines on big data platforms and data integrations in databases and data lakes, working with various cloud and on-premises technologies
Experience leveraging scalable data platforms to build secure infrastructure; experience building batch or streaming data ingestion pipelines
Ability to assess and profile raw data and reassemble raw data from multiple sources into a single, enterprise model
Hands on experience with data management tools (Cloudera, Spark, Python, Databricks, etc.); fluency with SQL programming, scripting, and data architecture
Extensive familiarity with relational database concepts / technologies (SQL, Oracle, etc.) including data design, table design, partitioning, as well as determining the technology to use in any given scenario
Experience ensuring data quality and implementing tools and frameworks for automating identification of data quality issues
Strong understanding of data engineering and data traceability best practices and framework
Ability to work in a consulting role, building technology and communicating with end-users and customers of varying levels of technical capability
Ability to produce high-quality, professional documentation and communication materials
Strong knowledge in the development of Business Intelligence and Reporting solutions
Ability to translate data into Management reports and presentations
Strong problem solving, organization, and prioritization skills
Detail-oriented, producing timely results and ability to work both independently with minimal supervision and as a member of a scrum/product team
Track-record of successful project delivery, building collaborative cross-functional relationships, and an ability to find creative ways to solve business problems
Ability to balance the competing needs of multiple priorities and work in a dynamic environment; ability to perform under pressure and in stressful situations
Demonstrable capacity for learning technical concepts and adapting to new technologies quickly; ability to stay current with evolving best practices in data management
Familiar with healthcare provider data structures and sources; experienced with HIPAA regulations and methods for safeguarding PHI and PII through mitigation of data exposure risk
Knowledge of health care operations and structure, general requirements in an integrated delivery
The role requires significant technical skills, including multiple programming languages and extensive knowledge of Sequel (SQL), as well as experience with modern, distributed, scalable data platform
Preferred
Databricks, including AIOps components, Asset Bundles, CI/CD pipelines, and monitoring/governance practices
Azure, including MLOps tooling, Container Apps, Foundry, and managing the full LLM deployment lifecycle in controlled environments
GitOps and DevOps practices, including GitHub Actions or Azure DevOps for production‑grade automation
Familiarity with the healthcare data ecosystem, including FHIR, Clarity, Caboodle, and HL7
Benefits
Comprehensive benefits package
Company
Sutter Health
Sutter Health is a non-profit organization operating a network of hospitals and physicians in Northern California.
10001+ employees
H1B Sponsorship
Sutter Health has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (16)
2023 (14)
2022 (21)
2021 (24)
2020 (30)
Funding
Current Stage
Late StageTotal Funding
$27.17MKey Investors
Department of Health Care Services
2025-05-19Grant· $23M
2016-11-22Grant· $1.2M
2013-10-09Grant· $2M
Leadership Team
Megan Gillespie
Chief Executive Officer
Warner L. Thomas
Chief Executive Officer
Recent News
2025-11-19
2025-11-19
Company data provided by crunchbase