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Junior Data Engineering Jobs in California (NOW HIRING)

Kros-Wise

Senior Data Scientist

San Diego, CA

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

3B Staffing LLC

Junior Data Engineer (Snowflake)

Dublin, CA · On-site

$128K - $154K/yr

Must be willing to learn additional data engineering and analytics toolsets. * Strong computer skills, including experience with programming languages (SQL, Python, Java, R, etc.) * Communication ...

3B Staffing LLC

Junior Data Engineer (Snowflake)

Dublin, CA · On-site

$128K - $154K/yr

Must be willing to learn additional data engineering and analytics toolsets. * Strong computer skills, including experience with programming languages (SQL, Python, Java, R, etc.) * Communication ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

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

Aptiv PLC

Data Platform Architect

Cupertino, CA · On-site

$176 - $210/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 ...

Aptiv

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 ...

Aptiv PLC

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 ...

Kros-Wise, Inc.

Senior Data Scientist

San Diego, CA · On-site

... 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 ...

RingCentral

Senior Manager, Data Engineering

Belmont, CA · On-site

$190 - $232/hr

Lead, mentor, and grow a team of data engineers spanning junior to senior levels, including hiring and performance management. * Own the technical strategy and roadmap for the revenue data mart ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

You will work closely with Data Engineering, Product, and go‑to‑market teams. WHAT YOU'LL DO ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

CYNET SYSTEMS

Senior Data Engineer

San Jose, CA · On-site

$55 - $60/hr

Pay Range: $55.00hr - $60.00hr Requirement/Must Have: * 5+ years of experience in data engineering ... Mentor junior data engineers and contribute to engineering best practices and standards. Nice to ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

$140K - $175K/yr

Mentor and support junior data scientists through technical guidance and best practices. * Partner closely with engineering, product, and clinical teams to prioritize work and solve complex problems.

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$110 - $148/hr

Mentor junior data scientists and guide their model development, statistical analysis, and data science practices. * Data Engineering & Workflow Optimization - Collaborate with engineering teams to ...

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

Mentor and support junior data scientists through technical guidance and best practices. * Partner closely with engineering, product, and clinical teams to prioritize work and solve complex problems.

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Showing results 21-40

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.

Senior Data Scientist

Kros-Wise

San Diego, CA

Full-time

Re-posted 25 days ago

Job description

We are seeking a highly experienced Senior Data Scientist to lead advanced analytics, machine learning model development, and data-driven decision support within a Department of Defense (DoD) program environment. This role involves architecting and deploying end-to-end data solutions that enhance operational effectiveness, readiness forecasting, and mission-critical insights for Navy enterprise systems.

Key Responsibilities

  • Design, develop, and deploy predictive models, natural language processing (NLP), and optimization algorithms
  • Lead data ingestion, cleaning, transformation, and exploratory analysis from diverse structured and unstructured data sources
  • Create interactive dashboards and visualizations to communicate analytical findings to technical and non-technical audiences
  • Collaborate with cross-functional teams including software engineers, data engineers, and subject matter experts
  • Translate mission needs into analytical frameworks, model requirements, and implementation strategies
  • Validate and tune models for performance, explainability, and operational relevance
  • Author technical reports, white papers, and decision briefings for stakeholders and senior leadership

Minimum Qualifications

  • U.S. Citizenship with an active or interim Secret clearance
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)
  • 10+ years of professional experience in data science and leadership or senior technical role
  • Security+ Certification
  • Proven experience with:
    • Python, R, SQL, and Spark for data analysis and modeling
    • Machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost
    • Data visualization tools like Power BI, Tableau, or Plotly
    • Cloud platforms (AWS, Azure, or Google Cloud) and MLOps workflows
  • Experience working with DoD or federal data systems, including handling controlled unclassified information (CUI)

Additional Preferred Qualifications

  • Experience developing AI/ML solutions in support of Navy or defense logistics, sustainment, or readiness analytics
  • Familiarity with DoD data governance, data labeling, and ethical AI guidelines
  • Strong understanding of model operationalization, A/B testing, and production monitoring
  • Knowledge of data engineering concepts including ETL pipelines, data lakes, and data mesh architectures
  • Agile/Scrum experience or certifications (e.g., Certified Scrum Master, SAFe Practitioner)
  • Ability to mentor junior data scientists and lead cross-disciplinary technical teams

Apply