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Junior Data Engineer Jobs in California (NOW HIRING)

Sequoia Connect

Junior Data Engineer

Mountain View, CA · On-site +1

We are currently searching for a Junior Data Engineer: The Challenge (Responsibilities) * Assist in building and maintaining ETL pipelines using Python and PySpark. * Support the development of ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Mentor and support junior data engineers through code reviews, design sessions, and technical leadership. * Document data flows, definitions, models, and architecture for internal stakeholders and ...

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... junior data engineers and enforce engineering excellence Required Skills & Experience * 8+ years in data engineering with 3+ years in a leadership/lead role * Strong hands-on experience with: AWS ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Participate actively in Agile delivery ceremonies, contribute to backlog refinement, and mentor junior data engineering team members. Qualifications & Requirements Minimum Qualifications • ...

Sparks Wiz Limited

Junior Data Analyst

Los Angeles, CA · On-site +1

$26 - $37/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

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 ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA · On-site

$194K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Mentor junior data engineers and promote best practices in CI/CD, version control, and release management. Proficiencies: * Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2 ...

WelbeHealth

Sr. Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Mentor junior data engineers * Assist the data architect with high level business architecture that accelerates solution designs, improves quality of applications, drives data quality and ...

DPP Tech, Inc.

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are seeking experienced Data Engineers with strong expertise in Google Cloud Platform (Google ... Mentor junior engineers (Lead role). Please share your updated resume at

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in California

Junior Data Engineer information

See California salary details

$33.1K

$70.9K

$108.1K

How much do junior data engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for junior data engineer 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 a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in California?

The most popular types of Data Engineer jobs in California are:

What are popular job titles related to Junior Data Engineer jobs in California?

For Junior Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer jobs in California look for?

The top searched job categories for Junior Data Engineer jobs in California are:

What cities in California are hiring for Junior Data Engineer jobs?

Cities in California with the most Junior Data Engineer job openings:

Junior Data Engineer jobs near you
Infographic showing various Junior Data Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $70,859 per year, or $34.1 per hour.

Junior Data Engineer

Sequoia Connect

Mountain View, CA • On-site, Remote

Full-time

Posted 4 days ago

Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Junior Data Engineer:
The Challenge (Responsibilities)
  • Assist in building and maintaining ETL pipelines using Python and PySpark.
  • Support the development of workflows utilizing AWS Glue, Lambda, and Step Functions.
  • Work extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.
  • Write complex SQL queries for data extraction, transformation, validation, and reporting.
  • Help implement basic monitoring, logging, and error handling for data pipelines.
  • Support the ingestion and processing of data from APIs and JSON payloads.
  • Collaborate with software engineers, data analysts, and business stakeholders to understand requirements.
  • Contribute to code management, technical documentation, and deployment support activities.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 0 to 4 years of software development or data engineering experience across relevant cloud platforms.
  • Good knowledge of Python and SQL.
  • Solid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Strong grasp of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.
  • Familiarity with PySpark, AWS managed services, data engineering best practices, and code optimization.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Exposure to PySpark, Athena, CloudWatch, SNS, and SQS.
  • Internship, project, or academic experience specifically in cloud computing, analytics, or data engineering.
  • Familiarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 0-4 years of software development experience across the appropriate platform.
  • Good knowledge on Python and SQL.
  • Good understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.
  • Good understanding of ETL concepts and data processing fundamentals.
  • Familiarity with GitLab/Terraform and SDLC from development to production.
  • Familiarity to PySpark, AWS managed services, data engineering best practices, and code optimization.
  • Good analytical, problem-solving, and communication skills.

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