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

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 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 ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Developing models and data-driven solutions that add material insight to our clients understanding ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Developing models and data-driven solutions that add material insight to our clients understanding ...

Senior Data Scientist Senior Data Scientists on our team partner with product managers, SMEs and ... Developing models and data-driven solutions that add material insight to our clients understanding ...

Role Overview As a Senior Data Scientist, you will be responsible for the end-to-end lifecycle of ... AI/ML Model Development * Design, develop, train, and deploy high-performance machine learning ...

Senior Data Engineer (Java/Spark)

Sunnyvale, CA · On-site

$65.50 - $86.50/hr

... Sr Data Engineer (Java/spark) Location: Sunnyvale, CA or Bentonville, AR (Hybrid) Job Type ... You are skilled in data modeling & data migration protocols * You have experience with Trino, Big ...

We are seeking a Senior Data Scientist to design, develop, and deploy machine learning models that power Ad targeting, ranking, and bidding optimization in real-time or near real-time environments.

Senior Data Engineer

San Jose, CA · On-site

$148K - $361K/yr

As a Data Engineer working on Device metrics, you will design data models & develop scalable data ... About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer ... Hybrid Work Model and Business Casual Dress Code, including jeans * Your Future: 401k Matching ...

Sr. Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Data Engineer Location : San Francisco, CA | Hybrid We're looking for a talented Sr. Data Engineer ... Hybrid Work Model and Business Casual Dress Code, including jeans * Your Future: 401k Matching ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

As a Senior Data Engineer, you will play a key role in building and maintaining data infrastructure ... models for the entire company. • Implement and maintain data quality checks and monitoring ...

Showing results 41-60

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 Engineer

Gallup

San Francisco, CA • On-site

$230K - $280K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

Build the data foundation that powers Gallup's products, analytics and AI innovation.

As a senior data engineer at Gallup, you'll design and build the production data systems that enable high-quality, analytics-ready data across our product and research teams. You'll translate architectural vision into scalable pipelines, resilient data models and reliable operational workflows, helping Gallup modernize legacy systems and accelerate our AI ambitions.

What You'll Do

  • Design and implement reliable, scalable data pipelines that ingest, process and serve structured and unstructured data across Gallup
  • Build transformation pipelines that convert raw data into high-quality datasets for analytics and experimentation
  • Implement layered data models (raw curated semantic) to support analytics, experimentation and AI/ML workflows, with attention to reproducibility and data lineage
  • Translate architectural patterns into production-grade pipelines, models and infrastructure
  • Design systems for reliability, scalability and maintainability in complex, evolving environments
  • Implement monitoring, alerting and automated data quality checks to improve reliability and observability
  • Support incident response, root cause analysis and operational improvements
  • Establish and contribute to standards for data modeling, pipeline design and operational workflows
  • Work closely with product managers, analysts, data scientists and software engineers to understand data needs and build scalable solutions
  • Help teams transition from manual and legacy workflows to automated, modern data systems
  • Mentor engineers through code reviews and architectural discussions

What Makes You Stand Out

  • Execution excellence: You have built and operated production data systems and understand the realities of running pipelines reliably at scale.
  • Practical problem solver: You bring sound engineering judgment to incomplete documentation, legacy workflows and evolving requirements. You make thoughtful tradeoffs and sequence work intelligently.
  • Modern data builder: You are fluent in ingestion frameworks, transformation pipelines and layered data modeling, and you translate architectural direction into clean, production-grade implementations.
  • Collaborative partner: You enjoy working across product, analytics and engineering teams and can translate business needs into scalable technical capabilities.
  • AI-forward mindset: You are curious about AI and modern tooling, experiment beyond your day job, and think intentionally about how data modeling and accessibility support AI systems and reproducibility.

What You Need

  • Bachelor's or master's degree in computer science, engineering or a related field, or equivalent experience required
  • At least five years of experience in data engineering or backend engineering focused on data systems required
  • Strong SQL skills and deep understanding of data modeling required
  • Experience designing and operating production data pipelines required
  • Experience with orchestration tools such as Airflow or Dagster required
  • Experience running dbt workflows or similar transformation frameworks required
  • Hands-on experience with cloud data platforms such as Snowflake, Databricks or BigQuery required
  • Strong programming experience in Python or similar languages required
  • Experience implementing data quality, monitoring or observability frameworks required
  • Experience leading or participating in data platform modernization or migration from legacy environments strongly preferred
  • Experience with AWS preferred
  • Experience partnering directly with nontechnical stakeholders and influencing business decisions from a technical lens preferred
  • Experience working closely with AI teams in environments where data quality and reproducibility are critical preferred
  • A commitment to working on-site at Gallup's San Francisco office at least three days per week required

About Gallup

At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup. 

Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates' wellbeing. We also offer an estimated annual salary range of $230,000-$280,000 for this role. Salaries are based on a variety of factors, including an individual's education, experience and skills.

Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.

To review Gallup's Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.

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