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Analytics Engineer Jobs in California (NOW HIRING)

True Classic

Data & Analytics Engineer

Calabasas, CA · On-site

$121K - $145K/yr

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business ...

Twilio

Staff Analytics Engineer

San Francisco, CA

See yourself at Twilio Join the team as Twilio's next Staff Analytics Engineer, R&D. About the job This position is needed to advance the consistency & quality of our R&D analytics data layer and ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA

$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 ...

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

Prosum Inc.

Senior BI / Analytics Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Senior BI / Analytics Engineer Salary Range: $150k to $165kOverview A growing organization is seeking a Senior BI / Analytics Engineer to help build and scale a modern data and analytics ecosystem.

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Pilot.com

Senior Analytics Engineer

San Francisco, CA · On-site

$123K - $169K/yr

As the Senior Analytics Engineer on this team, you'll own that foundation end-to-end. You'll architect the warehouse and the semantic layer, bring new data sources online as the business expands, and ...

Anduril Industries

Staff Analytics Engineer

Costa Mesa, CA · On-site

$191K - $253K/yr

You prioritize velocity and are interested in pushing the frontiers of what analytics can do within an organization - think data applications rather than just dashboards. As a Staff Engineer, you ...

Obsidian Security

Lead Analytics Engineer

Palo Alto, CA

$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 ...

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 ...

Workato

Staff Analytics Engineer

Palo Alto, CA · On-site +1

Stay updated with the latest industry trends and best practices in data engineering and analytics. Ensure data security and compliance with relevant regulations and standards. Manage and prioritize ...

New

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 ...

You.com

Senior Analytics Engineer

San Francisco, CA · On-site +1

$100K - $200K/yr

You'll work closely with Finance, GTM, Product, and Engineering to define metrics, agree on how success is measured, and build the self-service infrastructure that reduces the analytics backlog for ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in California

Analytics Engineer information

See California salary details

$61.2K

$106.9K

$174.3K

How much do analytics engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for analytics engineer in California is $106,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,807.00 and $119,955.00 per year, depending on experience, location, and employer.

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 California? The most popular types of Analytics Engineer jobs in California are:
What are popular job titles related to Analytics Engineer jobs in California? For Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in California look for? The top searched job categories for Analytics Engineer jobs in California are:
What cities in California are hiring for Analytics Engineer jobs? Cities in California with the most Analytics Engineer job openings:
Analytics Engineer jobs near you

Data & Analytics Engineer

True Classic

Calabasas, CA • On-site

$121K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards.
This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices - including pipeline design, data modeling, testing, and documentation - and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment.
All of True Classic's roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise.
Areas of Accountability
Extend & Maintain the Data Platform
  • Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality
  • Contribute to completion of open data model workstreams across inventory, media, and product functions
  • Expand data source connectivity and pipeline coverage across marketing and fulfillment systems
  • Maintain and improve ETL/ELT workflows via Daasity and BigQuery
  • Help monitor and optimize cloud data infrastructure for cost and performance
Bridge Data to the Business
  • Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders
  • Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L
  • Contribute to predictive models for demand forecasting, inventory planning, and revenue projections
  • Build and maintain the serving layer that the AI team queries - clean, modeled BigQuery tables in place of direct API calls
AI-Augmented Development
  • Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development
  • Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools
  • Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring
Cross Functional Collaboration
  • Work with finance to ensure financial data structures support forecasting and P&L reporting needs
  • Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications
  • Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations
Qualifications
  • 4+ years of experience in data engineering or analytics engineering
  • Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation
  • Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development
  • Strong SQL skills including joins, window functions, and CTEs
  • Python proficiency for pipeline scripting, API integrations, and light modeling
  • Familiarity with statistical modeling and predictive analytics (regression, time series)
  • Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations
  • Proficiency with AI coding tools - daily use expected
Preferred Qualifications
  • NetSuite or ERP experience
  • Daasity, Shopify/Amazon data
  • Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale),
  • Omni/Looker, GitHub-based workflows
Workplace Arrangement
This role is on-site (5x week in office) based in Calabasas, CA.
Compensation and Benefits
Compensation
  • Competitive Salary + bonus
Time Off
  • Unlimited PTO and sick time
Health & Wellness
  • Company-paid medical, dental, and vision insurance
  • $100/month Health & Wellness stipend
  • Free Employee Assistance Program (EAP)
Work & Growth Support
  • $100/month Personal Workspace/Office stipend
Perks
  • $1,000/year True Classic merchandise allowance
  • 401(k) plan with 3% company match

True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources.
At True Classic, our purpose is simple: empower everyone to look good and feel good.
Founded in 2019, we're a fast-growing apparel brand obsessed with fit, quality, and impact. But we're building more than great products-we're building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create.
Everything we do is guided by the True Classic Operating System (TCOS)-the principles that shape how we work, make decisions, and win together:
  • Move the Needle - Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact.
  • Paint the Picture - We set clear vision and help others see what great looks like.
  • Seek the Truth - We use data, customer insight, and curiosity to guide decisions.
  • Get 1% Better - We continuously improve how we work through strong systems and small wins.
  • Build Leverage - We maximize impact with the right mix of people, tools, automation, and AI.
  • Crush the Challenge - We surface problems early and take ownership to solve them.
  • Go Fast - We take initiative, move with urgency, and bias toward action.
  • Be Creative - We challenge the norm and find better ways to win.
  • Lead with Empathy - We care deeply about our customers and each other.

If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle-join us and help shape what's next at True Classic!

Apply