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Senior Data Analytics Engineer Jobs in California

AmaWaterways, LLC

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Partner with the Senior Data Engineer to make sure the source pipelines you depend on are designed ... AI-native analytics engineering * Use Claude Code as your primary working environment, including ...

Parafin, Inc

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

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 ...

Heluna Health

Data/Analytics Engineer

Los Angeles, CA · On-site

$10K/mo

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

Heluna Health

Data/Analytics Engineer

Los Angeles, CA · On-site

This role sits at the intersection of data engineering and advanced analytics, responsible for the end-to-end design, implementation, and management of a governed Medallion Architecture (Bronze ...

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 ...

Living Spaces

Senior Data Analytics Developer

La Mirada, CA · On-site

$109K - $146K/yr

Position Summary The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing ...

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 ...

Broccoli AI

Data Analytics Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Ad-hoc analyses, segment investigations, partner questions. * Work closely with engineering. Understand how our systems store and produce data, including schemas, events, and architecture, and give ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in California

Senior Data Analytics Engineer information

See California salary details

$79.9K

$124.7K

$172.7K

How much do senior data analytics engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for senior data analytics engineer in California is $124,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $142,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a Senior Data Analytics Engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a Senior Data Analytics Engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Senior Data Analytics Engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in California? The most popular types of Data Analytics Engineer jobs in California are:
What are popular job titles related to Senior Data Analytics Engineer jobs in California? For Senior Data Analytics Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in California look for? The top searched job categories for Senior Data Analytics Engineer jobs in California are:
What cities in California are hiring for Senior Data Analytics Engineer jobs? Cities in California with the most Senior Data Analytics Engineer job openings:
Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in California as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $124,674 per year, or $59.9 per hour.

Data Analytics Engineer

AmaWaterways, LLC

Calabasas, CA • On-site

$90K - $100K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

At AmaWaterways, we believe meaningful careers begin with purpose, passion and a shared commitment to delivering unforgettable experiences. For those who value curiosity, connection and personal enrichment, AmaWaterways offers the opportunity to help craft meaningful river journeys that invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we treat our guests—and each other—with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both onboard our ships and across our global network of offices, where team members grow together, support one another and take pride in upholding the high standards and thoughtful service our company is known for.

We invite talented, motivated professionals to explore our career opportunities and begin their journey with AmaWaterways today.

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 scorecards, and partner directly with Finance, Marketing, Revenue Management, Operations, and Reservations to turn ambiguous business questions into trusted models and dashboards. You will work on top of a Snowflake-native warehouse that is actively being built out, alongside a Senior Data Engineer who owns the ingestion plumbing. You will apply software engineering practices to analytics: version control, dbt tests, CI/CD, and clear documentation. You will also be an AI-native practitioner. Our daily environment is Claude Code, Snowflake Cortex, and dbt Cloud, and we expect you to use them fluently, not curiously.

What You Will Build
  • Governed semantic models in dbt for our top business KPIs: bookings, occupancy, revenue, cancellations, retention, marketing performance, and operations metrics.
  • Marts and reporting views on top of our medallion warehouse (Bronze, Silver, Gold, Reporting), with strict typing and clear grain documentation.
  • Tableau and Power BI assets that share a single source of truth in the warehouse. No off-platform calculations.
  • Cortex Analyst semantic YAML for natural-language data exploration by our internal users.
  • Data quality tests on every model you author, with clear ownership of the freshness and accuracy SLAs.
  • Companion views for the AMA Pulse scorecard (currently 72 KPIs across 894,000 rows of historical sailings).
  • BI assets that consolidate analytical work currently spread across the AMA Pulse Streamlit app, Tableau Cloud, and ad-hoc SQL.
Day to Day Responsibilities

Modeling and SQL

  • Build dbt models in our medallion layout. Use staging, intermediate, and mart models with explicit grain. Use SCD2 snapshots where business questions span time.
  • Write performant SQL in Snowflake. Read query profiles when something is slow. Use clustering and warehouse sizing deliberately.
  • Apply consistent naming conventions and audit columns across every mart.

Semantic layer and metric governance

  • Define metrics in the dbt Semantic Layer with explicit dimensions, time grains, and ownership.
  • Author Cortex Analyst semantic YAML for the marts that internal teams query through natural language.
  • Maintain a single canonical definition for every business KPI. No duplicate metric logic across Tableau, Power BI, and Streamlit.

BI development and governance

  • Build, optimize, and govern dashboards in Tableau Cloud and Power BI.
  • Implement row-level and object-level security, usage monitoring, and deployment workflows.
  • Audit and modernize legacy BI assets. Retire reports that nobody opens.

Data quality and reliability

  • Write dbt tests on every model: not-null, unique, relationships, accepted values, and custom business rules.
  • Add freshness checks and Snowflake Alerts to your gold and reporting models.
  • Track SLAs for the marts that feed leadership-facing reporting.

Stakeholder partnership

  • Translate ambiguous requests from Finance, Marketing, Revenue Management, Operations, and Reservations into models the rest of the team can also build on.
  • Write the kind of documentation your future self will want to read.
  • Partner with the Senior Data Engineer to make sure the source pipelines you depend on are designed correctly upstream.

AI-native analytics engineering

  • Use Claude Code as your primary working environment, including our shared data-team-skills plugin library.
  • Use Snowflake Cortex (Complete, Search, Analyst) to build natural-language interfaces, summarize text columns, classify free-text, and accelerate exploratory analysis.
  • Use multi-model review through zen-mcp when you are designing a new metric definition or auditing a complex SQL refactor.
Required Qualifications
  • 4+ years building governed analytics models and BI assets in a modern data warehouse.
  • Strong SQL on Snowflake. You can write window functions, recursive CTEs, and incremental MERGE patterns without searching the docs.
  • Production dbt experience: models, tests, snapshots, documentation, and CI runs.
  • Tableau (required) and Power BI (strongly preferred) at production quality, including parameterized dashboards, row-level security, and performance tuning on Snowflake-backed extracts or live connections.
  • Git and GitHub workflows with code review discipline.
  • You already use Claude Code, Cursor, or equivalent agent tooling daily, with concrete examples of what you ship faster because of it.
  • Strong written communication. You can explain a metric definition to a Finance leader and a SQL pattern to an engineer in the same week.
Strongly Preferred
  • dbt Semantic Layer.
  • Snowflake Cortex Analyst or Cortex Search in production.
  • GitHub Actions CI/CD for dbt projects.
  • Python for data work (pandas, snowflake-snowpark-python, ad-hoc scripting).
  • Domain experience in travel, hospitality, cruise, or consumer finance.
Nice to Have
  • Streamlit in Snowflake.
  • Salesforce Data Cloud or Salesforce Marketing Cloud reporting.
  • Power Automate flows for alert and notification routing.
  • Familiarity with Seaware, Oracle, or other reservation system data models.
  • Finance domain depth: revenue recognition, occupancy denominators, AOP targets.