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Entry Level Data Analytics Engineer Jobs in California

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 ...

Rivian

Durability Data Analytics Engineer

Irvine, CA · On-site

$96.70K - $120.90K/yr

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

Rivian

Durability Data Analytics Engineer

Irvine, CA

$96.70K - $120.90K/yr

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

Rivian

Durability Data Analytics Engineer

Irvine, CA · On-site

$96.70K - $120.90K/yr

As a Durability Data Analytics Engineer, you will be part of the collaborative team of simulation, test, and data analytics engineers making Rivian vehicles adventurous yet durable for our customers.

Samsung SDS

Data Analytics Developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Samsung SDSA

Data Analytics Developer

San Jose, CA · On-site

We are seeking a developer to join the data analytics team with at least 12 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack.

Programmers.io

Data Analytics

Santa Clara, CA · On-site

1.    Strong in advance SQL 2.    Good at data analysis 3.    Should be able to build BI dashboards using Tableau & Power BI 4.    Candidate should be able to assist ...

Abbott

Analytics Engineer

Los Angeles, CA

$81.50K - $141.30K/yr

Data engineers create the systems and structures that allow data to be collected, stored ... Builds basic analytic data sets for exploration and modeling. * Assists in the implementation of ...

Abbott

Analytics Engineer

Sylmar, CA · On-site

$81.50K - $141.30K/yr

Data engineers create the systems and structures that allow data to be collected, stored ... Builds basic analytic data sets for exploration and modeling. * Assists in the implementation of ...

Abbott

Analytics Engineer

Los Angeles, CA

$81.50K - $141.30K/yr

Data engineers create the systems and structures that allow data to be collected, stored ... Builds basic analytic data sets for exploration and modeling. * Assists in the implementation of ...

Tror AI for everyone

Data Analytics

Santa Clara, CA · On-site

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1 ...

LinkedIn

Analytics Engineer, Go-To-Market Data

Mountain View, CA · On-site

$135.10K - $162.20K/yr

The Analytics Engineer, Marketing Strategy & Technology Data Foundations will support the development and maintenance of scalable data foundations, pipelines, and analytics solutions that enable the ...

New

LinkedIn

Analytics Engineer, Go-To-Market Data

Mountain View, CA · Hybrid

$135.10K - $162.20K/yr

The Analytics Engineer, Marketing Strategy & Technology Data Foundations will support the development and maintenance of scalable data foundations, pipelines, and analytics solutions that enable the ...

New

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Entry Level Data Analytics Engineer information

What are the key skills and qualifications needed to thrive as an Entry Level Data Analytics Engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.

What are some typical projects an Entry Level Data Analytics Engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an Entry Level Data Analytics Engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.
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 Entry Level Data Analytics Engineer jobs in California? For Entry Level Data Analytics Engineer jobs in California, the most frequently searched job titles are:
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What cities in California are hiring for Entry Level Data Analytics Engineer jobs? Cities in California with the most Entry Level Data Analytics Engineer job openings:
Entry Level Data Analytics Engineer jobs near you
Infographic showing various Entry Level Data Analytics Engineer job openings in California as of May 2026, with employment types broken down into 3% As Needed, 73% Full Time, 19% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

Data Analytics Engineer

AmaWaterways, LLC

Calabasas, CA • On-site

$90K - $100K/yr

Full-time

Posted 20 days ago

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.