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Junior Data Engineering 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 ... Familiarity with PySpark, AWS managed services, data engineering best practices, and code ...

3B Staffing LLC

Junior Data Engineer

Dublin, CA · Hybrid

$45 - $50/hr

Junior Data Engineer Client: Patelco Credit Union, 3 months contract and extendable, hybrid City ... Must be willing to learn additional data engineering and analytics toolsets. * Strong computer ...

3B Staffing LLC

Junior Data Engineer

Dublin, CA · Hybrid

$45 - $50/hr

Junior Data Engineer Client: Patelco Credit Union, 3 months contract and extendable, hybrid City ... Must be willing to learn additional data engineering and analytics toolsets. * Strong computer ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Lead the data engineering efforts across projects, collaborating closely with analysts, data ... Mentor and support junior data engineers through code reviews, design sessions, and technical ...

Perficientcorp Inc

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 ...

Sparks Wiz Limited

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 ...

Kros-Wise

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

... engineering concepts including ETL pipelines, data lakes, and data mesh architecturesAgile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)Ability to mentor junior ...

Panasonic

Data Scientist IV

Irvine, CA · On-site

Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team * Partner with Data Engineering, Product, and ...

Kros-Wise

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

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in California

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 Sep 5, 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 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 the key skills and qualifications needed to thrive as a junior data engineer?

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 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 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 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:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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 26 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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