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Junior Data Engineering Jobs in California (NOW HIRING)

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data ... Bachelor's or Master's degree in computer science, Information Systems, Data Engineering, or a ...

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Job Title: AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US ... Mentor and guide junior data engineers and enforce engineering excellence Required Skills ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

... in data engineering or backend data development roles. • Expert-level proficiency in SQL ... Mentor and support junior data engineers through code reviews, design sessions, and technical ...

You'll also guide model evaluation and methodology, mentor junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment. What you'll do ...

... mentor junior data scientists while representing the data science discipline across the ... We work most closely with Product, Sales and Engineering at the moment, but also work with the ...

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative ... As a Junior Data Analyst at Sparks Wiz Limited , you will support the data analytics team by ...

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

You'll also guide model evaluation and methodology, mentor junior data scientists, and collaborate closely with AI engineering and product teams in a dynamic, fast-paced environment. What you'll do ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Collaborate with cross-functional teams including software engineers, data engineers, and subject ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Collaborate with cross-functional teams including software engineers, data engineers, and subject ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Collaborate with cross-functional teams including software engineers, data engineers, and subject ... Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Data Platform Architect

Walnut Creek, CA

$70.50 - $90.75/hr

Provide guidance and mentorship to junior data developers HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * BS in Computer Science. The emphasis in Data ...

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Provide guidance and mentorship to junior data developers HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * BS in Computer Science. The emphasis in Data ...

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Junior Data Engineering information

See California salary details

$33.1K

$70.9K

$108.1K

How much do junior data engineering jobs pay per year?

As of Jul 30, 2026, the average yearly pay for junior data engineering in California is $70,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,900.00 and $79,000.00 per year, depending on experience, location, and employer.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

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

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What does a Junior Data Engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are some typical challenges a Junior Data Engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.
What are the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What are popular job titles related to Junior Data Engineering jobs in California? For Junior Data Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineering jobs in California look for? The top searched job categories for Junior Data Engineering jobs in California are:
What cities in California are hiring for Junior Data Engineering jobs? Cities in California with the most Junior Data Engineering job openings:
Infographic showing various Junior Data Engineering job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $70,859 per year, or $34.1 per hour.

Junior Data Engineer

Cumming Group

Murrieta, CA • On-site

$91K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At Cumming Group, you will work on some of the world's most exciting projects in a dynamic environment where your success is measured by the impact you make. We are one of the fastest-growing project and cost management consultancies in the United States, as reflected in our top 10 rankings in ENR. With over 60 offices globally, an extremely diverse project portfolio, and double-digit year-over-year revenue growth, the opportunities to make your mark are limitless!

We are looking for a motivated Junior Data Engineer to join our data team. The ideal candidate will help build and maintain data pipelines and support our modern data platform built on the Azure Databricks Lakehouse architecture.

This role will work closely with data engineers, analysts, and business stakeholders to ingest, transform, and prepare data for analytics and reporting. The Junior Data Engineer will support the development of scalable ETL/ELT pipelines, maintain data quality, and help deliver reliable datasets for downstream tools such as Power BI. This position reports to the Senior Data Engineer and provides an excellent opportunity to develop technical skills in modern cloud data engineering.

Responsibilities

  • Assist in developing and maintaining data pipelines in Azure Databricks using SQL and PySpark.

  • Support ingestion of data from various systems (e.g., SaaS applications, databases, reports) into the Data Lakehouse.

  • Build and maintain transformation logic to move data through Medallion Architecture layers.

  • Implement basic data validation and data quality checks to ensure reliable datasets.

  • Support orchestration and scheduling of pipelines using Azure Data Factory and Databricks Jobs.

  • Optimize queries and data models for performance in Databricks and downstream reporting tools.

  • Collaborate with analytics teams to prepare datasets used in Power BI dashboards and reporting.

  • Assist with documenting pipelines, data flows, and technical processes.

  • Monitor pipeline execution and troubleshoot data issues when they occur.

Requirements

  • Bachelor's or Master's degree in computer science, Information Systems, Data Engineering, or a related field.

  • 1+ year of experience working with data pipelines, analytics platforms, or data engineering tools (internships or academic projects acceptable).

  • Strong knowledge of SQL and experience querying large datasets.

  • Familiarity with Apache Spark or Databricks.

  • Basic experience with Python or PySpark for data transformation.

  • Understanding data warehousing and Lakehouse concepts (Medallion Architecture).

  • Experience or exposure to Azure Data Factory or similar orchestration tools. Knowledge of Fivetran is a plus.

  • Familiarity with Azure cloud services is a plus.

  • Exposure to Power BI or other BI tools is beneficial.

  • Strong analytical thinking and problem-solving skills.

  • Ability to work collaboratively in a team environment and communicate effectively.

#LI-ML1

Cumming Group is committed to providing Equal Employment Opportunity in its personnel policies and practices. It is Cumming Group's policy to recruit, hire, train and promote Team Members and applicants for employment without regard to race, color, creed, religion, age, sex, marital status, registered domestic partner status, genetic information, sexual preference, sexual orientation, gender (including gender expression and gender identity), pregnancy (including childbirth or related medical conditions, including breastfeeding), military service, national origin, ancestry, citizenship, physical disability, mental disability, veteran status or any other protected classification under federal, state, or local law. All such decisions are based on (1) individual merit, qualifications, and competence as they relate to the particular position, and (2) promotion of the principle of equal employment opportunity.

All other terms and conditions of employment, such as compensation, benefits, transfers, layoff, return from layoff, training, education, and social and recreational programs, are administered without regard to the characteristics described above. To this end, Cumming Group complies with all provisions of Title VII of the Civil Rights Act of 1964 as amended, all of the rules, regulations and relevant orders of the Secretary of Labor, and all similar state and local laws.

The salary range for this full-time role is $91,000.00-$121,333.35 per year. Ranges are determined based on the position, geography, client and industry experience and level, and represent a good faith effort to provide a fair and equitable salary. This range reflects base salary only, and not the total compensation package. Cumming Group reserves the right to pay more or less than the posted range, depending on a candidate's experience, skills, and qualifications, including client requirements.

In addition to base salary, Cumming Group offers a comprehensive benefits package including:

  • Medical
  • Dental Insurance
  • Vision Insurance
  • 401(k)
  • 401(k) Matching
  • Paid Time Off
  • Paid Holidays
  • Short and long-term disability
  • Employee Assistance Program