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Junior Data Engineer Jobs in California (NOW HIRING)

Lead Data Engineer

San Francisco, CA · On-site

$134K - $161K/yr

Mentor junior engineers and promote engineering best practices. Required Qualifications: * 8+ years of experience in Data Engineering with demonstrated technical leadership. * Strong hands-on ...

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 Engineer, Staff

San Diego, CA · On-site

$121K - $146K/yr

... • Mentor junior engineers and provide technical guidance, including best practices for automating data workflows Qualifications : Required : • 5+ years of IT-related work experience with a ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Senior Data Engineer - Platform Engineering Location: San Francisco, Los Angeles, or Dallas ... Strong communication skills and the ability to mentor and guide junior engineers. Benefits

Data Engineer, Senior Staff

San Diego, CA · On-site

$121K - $146K/yr

Mentor junior engineers and provide technical guidance, including best practices for automating data workflows Required Qualifications Data Engineering, Frameworks & System Design * 8+ years of ...

Data Engineer IV

Irvine, CA · On-site

$122K - $147K/yr

Mentor and coach junior and mid-level data engineers, fostering a culture of technical excellence and continuous growth. * Evaluate, adopt, and champion new data technologies and frameworks to drive ...

... engineers, data engineers, and subject matter experts • Translate mission needs into analytical ... junior data scientists and lead cross-disciplinary technical teams Company : Kros-Wise, Inc. is a ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives. * Evaluate and introduce new data technologies, frameworks, and ...

Senior Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives. * Evaluate and introduce new data technologies, frameworks, and ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Communication superpowers -you can present to the C-suite, debug with engineers, and mentor junior teammates with equal effectiveness * Deep expertise in data modeling and warehousing -you think in ...

Proactively identify data quality issues, logging gaps, and infrastructure needs, and drive resolution together with data engineering partners. Mentor and provide technical guidance to junior data ...

Showing results 41-60

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 Sep 2, 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:

Infographic showing various Junior Data Engineer job openings in California as of August 2026, with employment types broken down into 64% Full Time, and 36% Part Time. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $70,859 per year, or $34.1 per hour.

Lead Data Engineer

Solomon Page

San Francisco, CA • On-site

$134K - $161K/yr

Contractor

Medical, Dental, Retirement

Re-posted 6 days ago


Job description

We are seeking a hands-on Lead Data Engineer to join the Data & AI Supply Chain organization and drive the design, development, and delivery of enterprise-scale data products on Google Cloud Platform (GCP). This role will support Supply Chain initiatives across Sourcing, Transportation, and Warehouse Management Systems (WMS) by building scalable cloud-native data solutions that enable advanced analytics and AI-driven decision-making. The ideal candidate will bring deep expertise in modern data engineering, cloud-native architectures, ETL/ELT development, and enterprise data modeling while collaborating with cross-functional business and technology teams.
  • Rate Range: $5065/hr on W2 (DOE)

Responsibilities:
  • Design, develop, and implement scalable data pipelines and enterprise data products on Google Cloud Platform (GCP).
  • Build and optimize cloud-native data solutions using Dataproc, BigQuery, SQL, and dbt.
  • Design scalable data models supporting analytical and operational reporting requirements.
  • Develop robust ETL/ELT pipelines to ingest, transform, and publish data from enterprise systems.
  • Collaborate with Product Managers, Business Analysts, Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
  • Lead technical design discussions and perform code reviews to ensure engineering quality and best practices.
  • Optimize cloud-based data processing for performance, scalability, reliability, and cost efficiency.
  • Implement monitoring, testing, and operational best practices for production workloads.
  • Build reusable frameworks, engineering standards, and technical documentation.
  • Support production issue resolution and continuous improvement initiatives.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and estimation.
  • Mentor junior engineers and promote engineering best practices.

Required Qualifications:
  • 8+ years of experience in Data Engineering with demonstrated technical leadership.
  • Strong hands-on experience building enterprise data platforms on Google Cloud Platform (GCP).
  • Expert-level experience with Dataproc, BigQuery, SQL, and dbt.
  • Strong understanding of modern ETL/ELT architecture and large-scale data processing.
  • Experience designing dimensional, normalized, and analytical data warehouse models.
  • Experience building scalable cloud-native data pipelines.
  • Experience with Git, CI/CD pipelines, and software engineering best practices.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder collaboration skills.
  • Experience working within Agile development environments.

Required Skills:
  • Google Cloud Platform (GCP)
  • Dataproc
  • BigQuery
  • SQL
  • dbt
  • ETL / ELT
  • Data Modeling
  • Cloud Data Engineering
  • Git
  • CI/CD
  • Agile Methodologies

Technical Skills:
  • Google Cloud Platform (GCP)
  • Dataproc
  • BigQuery
  • SQL
  • dbt
  • Git
  • CI/CD Pipelines
  • Data Warehousing
  • ETL / ELT Development
  • Cloud-native Data Architecture

Preferred Qualifications:
  • Experience with Apache Airflow.
  • Experience integrating Apache Kafka or other streaming technologies.
  • Hands-on experience with PySpark.
  • Strong Python programming skills for data engineering and automation.
  • Experience with data quality, metadata management, and data governance.
  • Retail or Apparel industry experience.
  • Experience supporting Supply Chain, Transportation, Logistics, Warehouse Management Systems (WMS), or Distribution Center operations.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.

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