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Entry Level Data Analytics Engineer Jobs in California

Peterson

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

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 ...

PetersonCat

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

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 ...

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

$96K - $120K/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

$96K - $120K/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

$96K - $120K/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

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

Sylmar, CA · On-site

$81K - $141K/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 ...

Abbott

Analytics Engineer

Los Angeles, CA

$81K - $141K/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

$81K - $141K/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 ...

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Entry Level Data Analytics Engineer information

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 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 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:
What job categories do people searching Entry Level Data Analytics Engineer jobs in California look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in California are:
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 June 2026, with employment types broken down into 4% Locum Tenens, 81% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Data & Analytics Engineer

Data & Analytics Engineer

Peterson

San Leandro, CA • On-site

$129K - $155K/yr

Full-time

Posted 11 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.
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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