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Senior Data Modeler Jobs in San Ramon, CA (NOW HIRING)

As a senior member of our growing data science team, you will lead the design, curation, and ... You'll also guide model evaluation and methodology, mentor junior data scientists, and collaborate ...

Senior Data Architect

San Francisco, CA

$79.25 - $106/hr

Reporting to the Sr. Director of Data Management, this role will be responsible for setting the ... Architect & Model: Design and manage data domains to enable the creation of interoperable ...

Senior Data Architect

San Francisco, CA · On-site +1

$79.25 - $106/hr

Reporting to the Sr. Director of Data Management, this role will be responsible for setting the ... Architect & Model: Design and manage data domains to enable the creation of interoperable ...

Job Title Senior Data Analyst Location Hybrid - Sunnyvale, CA (2 days onsite/week) Pay Rate $40/hr ... Develop and maintain dashboards, reports, and analytical models to monitor chargeback performance ...

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

About Knit Health Knit Health is building a novel clinical foundation model to improve the way ... As a senior member of our growing data science team, you will lead the design, curation, and ...

Senior Data Engineer

San Mateo, CA · Hybrid

$120K - $164K/yr

BEAST INDUSTRIES Senior Data Engineer Primary: Bay Area (San Francisco / Peninsula) | Secondary ... Develop and maintain enterprise data models, schemas, and storage architectures. * Optimize data ...

Contribute to the design, maintenance, and governance of enterprise data models to ensure accuracy ... For the Senior Data Specialist position, we anticipate the annual base pay of $104,572 - $144,560 ...

Contribute to the design, maintenance, and governance of enterprise data models to ensure accuracy ... For the Senior Data Specialist position, we anticipate the annual base pay of $104,572 - $144,560 ...

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

Sr. Data Scientist

San Jose, CA · On-site

$158.55 - $218.10/hr

Sr. Data Scientist Department: Research & Development Employment Type: Full Time Location: US ... Proficiency in Python and/or R for data analysis, modeling, and analytics workflows * Experience ...

Senior Data Engineer

San Francisco, CA · On-site

$230K - $280K/yr

As a senior data engineer at Gallup, you'll design and build the production data systems that ... Implement layered data models (raw curated semantic) to support analytics, experimentation and AI ...

Senior Data Analyst

Pleasanton, CA

$95K - $120K/yr

Company Description Tech Tammina LLC Sr. Data Solutions Consultant to support large healthcare ... Create and maintain data model and metadata policies and procedures for functional design ...

Showing results 21-40

Senior Data Modeler information

See San Ramon, CA salary details

$40

$75

$94

How much do senior data modeler jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for senior data modeler in San Ramon, CA is $75.55, according to ZipRecruiter salary data. Most workers in this role earn between $66.88 and $85.67 per hour, depending on experience, location, and employer.

What does a senior data modeler do?

A Senior Data Modeler is responsible for designing, implementing, and managing data models that define how data is stored, organized, and accessed within an organization. They work closely with stakeholders to understand business requirements and translate them into efficient data structures, often using tools like ER diagrams and database modeling software. Senior Data Modelers ensure data integrity, optimize data flows, and support data governance initiatives. They may also mentor junior data modelers and collaborate with database administrators, data architects, and developers to deliver effective data solutions.

What is the difference between Senior Data Modeler vs Data Architect?

AspectSenior Data ModelerData Architect
Required CredentialsBachelor's or Master's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's or Master's in Computer Science, Information Systems; certifications like TOGAF, CDMP
Work EnvironmentData teams, database development, data analysis projectsIT departments, enterprise data strategy, system design
Employer & Industry UsageFinance, healthcare, tech companies focusing on data modelingLarge enterprises, consulting firms, organizations with complex data infrastructure
Common Search & ComparisonOften compared for technical data modeling skillsBroader scope including data infrastructure and architecture planning

While both roles require strong data management skills and similar certifications, Senior Data Modelers focus primarily on designing and optimizing data models, whereas Data Architects develop comprehensive data strategies and oversee overall data infrastructure. The roles often collaborate but differ in scope and responsibilities.

How does a senior data modeler typically collaborate with other departments during large-scale projects?

A Senior Data Modeler often works closely with business analysts, data architects, and software engineers to ensure that data models align with both technical requirements and business objectives. Collaboration typically involves gathering requirements, translating business needs into data structures, and participating in design reviews. Senior Data Modelers also play a key role in facilitating communication between IT and non-technical stakeholders to ensure data integrity and usability across systems. Effective teamwork and clear documentation are essential to navigate the complexities of large-scale data initiatives.

What are the key skills and qualifications needed to thrive as a senior data modeler?

To thrive as a Senior Data Modeler, you need deep expertise in database design, data modeling techniques, and strong proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with data modeling tools such as ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, and knowledge of database systems like Oracle or SQL Server, are typically required. Excellent analytical thinking, attention to detail, and strong collaboration and communication skills help you work effectively with cross-functional teams. These competencies ensure accurate, scalable, and efficient data structures that support business intelligence and decision-making across the organization.
What are the most commonly searched types of Data Modeler jobs in San Ramon, CA? The most popular types of Data Modeler jobs in San Ramon, CA are:
What are popular job titles related to Senior Data Modeler jobs in San Ramon, CA? For Senior Data Modeler jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Senior Data Modeler jobs in San Ramon, CA look for? The top searched job categories for Senior Data Modeler jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Senior Data Modeler jobs? Cities near San Ramon, CA with the most Senior Data Modeler job openings:
Infographic showing various Senior Data Modeler job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,146 per year, or $75.6 per hour.

Senior Data Scientist

Knit Health

San Francisco, CA

$140K - $175K/yr

Full-time

Re-posted 19 days ago


Job description

Why this role

Knit Health is seeking an experienced and visionary Senior Data Scientist to help advance our next-generation clinical intelligence platform at a pivotal time in healthcare innovation. We now have an unprecedented window into how clinicians make decisions at the point of care-and your work will turn that information into actionable insights that improve outcomes for patients and providers alike.

As a senior member of our growing data science team, you will lead the design, curation, and analysis of complex, multi-system healthcare datasets-including EHR and claims data-powering our clinical foundation model. You'll also guide model evaluation and methodology, mentor junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment. 

What you'll do 

Data Strategy, Analysis & Management

  • Frame, design, execute and interpret ML-based data analyses in response to specific healthcare use cases. 
  • Curate, clean, and integrate clinical datasets from multiple health systems to ensure high-quality inputs for model training and evaluation.
  • Partner with Data Engineering on the design and implementation of large-scale data processing pipelines using structured and unstructured data (EHR, claims, medical text, ECG, etc.).
  • Develop and maintain scalable data infrastructure, including database schemas and batch processing pipelines (e.g., Spark).
  • Oversee data governance, quality control, and documentation to ensure reproducibility and compliance.

Clinical Evaluation & Modeling

  • Develop and refine evaluation frameworks that assess how models capture and represent clinical reasoning.
  • Translate model outputs into clinically meaningful insights and metrics for diverse audiences.
    Collaborate with AI engineering to optimize models for performance, scalability, and real-world clinical relevance.

Leadership & Collaboration

  • Manage and mentor junior data scientists, fostering technical growth and best practices in modeling and analytics.
  • Partner with product and engineering teams to align data science goals with product strategy and customer needs.
  • Communicate complex technical concepts clearly to clinicians, stakeholders, and non-technical partners.
Minimum qualifications
  • Bachelor's or Master's degree in a quantitative field (e.g., mathematics, computer science, data science, statistics, or related discipline).
  • 3-7 years of experience in data science, analytics, or machine learning.
  • Demonstrated experience working with EHR data from multiple health systems and healthcare claims data.
  • Proficiency in Python, SQL, and R.
  • Hands-on experience with batch processing (e.g., Spark) and distributed data processing frameworks.
  • Strong understanding of distributed database management systems and data warehouses (e.g., Snowflake, Redshift, BigQuery).
  • Experience with machine learning methods, including deep learning, and associated pipelines (e.g., TensorFlow, PyTorch).
  • Strong communication skills with the ability to translate complex analyses into actionable insights for diverse audiences.
  • Proven track record of mentoring or managing junior team members.
Nice-to-haves
  • Experience developing evaluation frameworks for AI/ML models in healthcare.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and their data engineering services.
  • Knowledge of natural language processing (NLP) for medical text corpuses.
  • Prior work in a startup or high-growth environment.
Salary Range

Knit Health offers a competitive compensation package that includes base salary, equity, and opportunities for advancement. The starting salary range for the Senior Data Scientist is approximately $140,000 to $175,000 per year.