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Analytics Engineer Jobs in San Ramon, CA (NOW HIRING)

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Talentrix AI INC

BI(Analytics) Engineer

San Francisco, CA · On-site

$60 - $78/hr

BI(Analytics) EngineerIntroduction We are looking for a BI/Analytics Engineer with 4+ years of experience to own data modeling and pipelines at a rapidly scaling data company disguised as a health ...

New

Fieldguide

Senior Analytics Engineer

San Francisco, CA · On-site

$175K - $200K/yr

We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible. This ...

Fieldguide

Senior Analytics Engineer

San Francisco, CA · Remote

$175K - $200K/yr

We are hiring a Senior Analytics Engineer to own the foundation that Insights runs on: the semantic layer, the pipelines, and the models that make every number we ship reliable and defensible. This ...

OpenAI

Analytics Engineer, SMB

San Francisco, CA · On-site

$220K - $335K/yr

Conduct analyses to uncover insights and inform key decisions. * Use presentations, memos, and ... Proficient in quantitative programming languages, Python preferred. * Experienced in using business ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

Nextdoor, Inc.

Analytics Engineer 4

San Francisco, CA · On-site +1

$175K - $180K/yr

Meet your Future Neighbors As an Analytics Engineer 4 with Nextdoor, Inc. (San Francisco, CA) (May telecommute from any U.S. location) you'll: * Apply mathematical or statistical theory and methods ...

Pave

Analytics Engineer

San Francisco, CA · On-site

$190/hr

Experience - 4+ years of experience in a Data/Analytics Engineering role, ideally in a product-facing capacity. Proficiency with dbt and airflow, and familiarity with cloud data warehouses.

Redwood Materials

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

This is a hands-on engineering role: the majority of our work is code-based data pipelining and automated data analyses. You will spend most of your time on code-based analysis and building and ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA · On-site

$120K - $158K/yr

About the Role We're hiring a Lead Analytics Engineer to be the senior technical owner of Obsidian's data warehouse and analytics foundation. You will own the DBT project, the warehouse architecture ...

Twin Health

Product Analytics Engineer

Menlo Park, CA · On-site

Opportunity We are looking for a Product Analytics Engineer to join our Data Platform team, where you will play a key role in driving data-driven insights and product analytics that directly improve ...

Venturesoft

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

GC AI

Analytics Engineer, Revenue

San Mateo, CA · On-site +1

$181K - $245K/yr

About The Role We are seeking an Analytics Engineer to join Revenue Operations and build the intelligence layer that turns GC AI's data into decisions. Reporting to Emma Heist, Head of Revenue ...

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Showing results 21-40

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in San Ramon, CA

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in San Ramon, CA? The most popular types of Analytics Engineer jobs in San Ramon, CA are:
What are popular job titles related to Analytics Engineer jobs in San Ramon, CA? For Analytics Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What cities near San Ramon, CA are hiring for Analytics Engineer jobs? Cities near San Ramon, CA with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in San Ramon, CA as of July 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Data & Analytics Engineer

Peterson

San Leandro, CA • On-site

$129K - $155K/yr

Full-time

Re-posted 23 days ago

Job description

It's your time, make it matter.
At Peterson, we partner with our customers to build the future. For over 85 years, our peoples' work has shaped the communities where we live, where we raise our families, and where we thrive. Peterson's legacy permeates every aspect of our communities. From roads and bridges, back-up power at hospitals, fire-fighting, concerts and moving goods; we are everywhere you look. At Peterson, you don't just have a career, you have a purpose.
Our family-oriented environment is built on safety, winning, growth, and professional achievement. Hiring and developing exceptional people is critical to our continued success. We have high standards for a good reason: our people represent Peterson, our family, our brand, and our values.
You have high expectations too. You are exceptionally motivated, have outstanding skills, and want your work to matter. Peterson offers competitive wages, generous benefits, and promotional opportunities at a family-owned and operated business. It's time to use your skills and passion to do work that matters!
Job Description
Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location.
WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME
SUMMARY
The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including agentic) workflows to improve speed, quality, and scale-while maintaining data accuracy, governance, and trust.
ESSENTIAL JOB FUNCTIONS
The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign the functions to this job at any time due to reasonable accommodation or other reasons. Job functions include the following. Other duties may be assigned.
  • Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements.
  • Build and maintain data pipelines using modern cloud data architectures, including Snowflake and Microsoft Fabric, and support existing SQL Server Integration Services (SSIS) workloads and Azure Data Factory where applicable.
  • Design and develop curated, analytics-ready datasets using SQL-based transformation approaches.
  • Build and maintain reports, dashboards, and semantic models, primarily in Power BI.
  • Use Python and AI/agentic workflows to accelerate:
    • Data ingestion and schema discovery
    • Source-to-target mapping and transformation logic
    • ETL troubleshooting and optimization
    • Report and dashboard generation
    • Data validation, reconciliation, and impact analysis
  • Apply and maintain strong data quality, reconciliation, and documentation standards.
  • Support data ingestion, modeling, and analytics enablement for finance and enterprise resource planning (ERP) platforms, including Microsoft Dynamics.
  • Develop reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
  • Contribute to data and analytics standards, best practices, and frameworks as part of an evolving Data & Analytics Center of Excellence.
  • Partner with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
  • Maintain punctual, regular, and predictable attendance.

QUALIFICATIONS
Bachelor's Degree from a fully accredited college in Data Science, Information Technology, Engineering, or other closely related field; and a minimum of three (3) years of directly related experience in data engineering, business intelligence, or analytics roles, preferably in a heavy industrial environment; or an equivalent combination of education and work experience. Must be comfortable working on-site and collaborating closely with business, finance, and IT teams.
Required Experience:
  • Strong SQL and data warehousing experience, with hands-on work in modern cloud data platforms (e.g., Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
  • Experience with Python for data engineering, automation, and AI-enabled workflows.
  • Hands-on experience building production reports and dashboards (Power BI required; other BI tools acceptable).
  • Experience working with Microsoft integration tools, including SSIS and/or Azure Data Factory.
  • Experience supporting end-to-end data pipelines, from ingestion through analytics and reporting.

Preferred Experience:
  • Experience with modern cloud data platforms (e.g., Microsoft Fabric, Snowflake, or similar), with the ability to work across evolving architectures.
  • Finance domain knowledge (GL, revenue, costs, contracts).
  • Microsoft Dynamics or ERP data migration experience.
  • Experience working within the Microsoft ecosystem / Microsoft 365.
  • Experience with Spark/PySpark or notebook-based data processing for advanced transformations.

CERTIFICATES, LICENSES, REGISTRATIONS
None required
The pay range for this position is: $105,000.00 - $125,000.00 (Starting wage will depend on experience and education. We also offer a total compensation package in addition to base salary.)
#INDL
Peterson Holding Company is committed to equal employment opportunity and affirmative action. Minorities, females, veterans, and individuals with disabilities are encouraged to apply. A drug screen and background check is required.

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