Sutter Health Logo

Sutter Health

AI Engineer

Reposted 24 Days Ago
In-Office
San Francisco, CA, USA
145K-218K Annually
Senior level
In-Office
San Francisco, CA, USA
145K-218K Annually
Senior level
Develops Sutter Health's analytic data infrastructure, ensuring data quality and availability for strategic decision-making, creating scalable data pipelines and improving data processes.
The summary above was generated by AI

We are so glad you are interested in joining Sutter Health!

Organization:

SHSO-Sutter Health System Office-Bay

Position Overview:

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.

Job Description:

****Please Note: While this position is listed as hybrid, regular in-office attendance is required. Candidates should be prepared to commute to the San Francisco office on a consistent basis to support team collaboration and business needs.****

EDUCATION:

  • Bachelor’s degree in Computer Science, Engineering, Information Management, or Healthcare Administration

TYPICAL EXPERIENCE:        

  • 8 years recent relevant experience.

PREFERRED EXPERIENCE:   

  • 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.

SKILLS AND KNOWLEDGE:

  • 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.

These Principal Accountabilities, Requirements and Qualifications are not exhaustive, but are merely the most descriptive of the current job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, staff changes, workload, or technical development).

Job Shift:

Days

Schedule:

Full Time

Days of the Week:

Monday - Friday

Weekend Requirements:

As Needed

Benefits:

Yes

Unions:

No

Position Status:

Exempt

Weekly Hours:

40

Employee Status:

Regular

Sutter Health is an equal opportunity employer EOE/M/F/Disability/Veterans.

Pay Range is $145,204.80 to $217,796.80 / annual salary

The compensation range may vary based on the geographic location where the position is filled. Total compensation considers multiple factors, including, but not limited to a candidate’s experience, education, skills, licensure, certifications, departmental equity, training, and organizational needs. Base pay is only one component of Sutter Health’s comprehensive total rewards program. Eligible positions also include a comprehensive benefits package.

Top Skills

Azure
Cloudera
Databricks
DevOps
Gitops
Python
Spark
SQL

Similar Jobs

Yesterday
In-Office
Palo Alto, CA, USA
32-37 Annually
Internship
32-37 Annually
Internship
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Cybersecurity • Data Privacy
As an AI Engineering Intern, you'll work on lead scoring, buying committee intelligence, AI systems development, and collaboration with marketing and sales teams.
Top Skills: GoJavaLarge Language ModelsMachine LearningMartechPython
2 Days Ago
Hybrid
San Jose, CA, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the development of AI software components for Capital One, including model training, inference, and system optimization. Collaborate with cross-functional teams to deliver groundbreaking AI solutions, ensuring quality and scalability while mentoring junior team members.
Top Skills: AWSAzureC#C++GoGCPHuggingfaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs
2 Days Ago
Hybrid
San Francisco, CA, USA
151K-187K Annually
Mid level
151K-187K Annually
Mid level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Senior Associate in Data and Analytics Engineering, you will develop AI solutions, analyze complex problems, mentor team members, and build client relationships.
Top Skills: AIData VisualizationsLangchainLlamaindexMlOrchestration ToolsPredictive ModelsPrompt EngineeringStatistical Analysis

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account