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Junior Data Engineer Jobs in California (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

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 ...

Sr. Data Engineer

Los Angeles, CA · On-site

$114K - $155K/yr

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 ...

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

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 ...

Sr. Data Engineer

Los Angeles, CA

$114K - $155K/yr

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 ...

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

Mentor junior data engineers. 40 hours / week, 8:00am-5:00pm, Salary Range: $169,129/year to $205,600/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on ...

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 ...

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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 1, 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 engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of project success.

What is a Junior Data Engineer job?

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 do junior data engineers do?

Junior data engineers assist in designing, building, and maintaining data pipelines and databases to ensure data is accessible and reliable for analysis. They often work with tools like SQL, Python, and cloud platforms, and may support data cleaning, integration, and troubleshooting under the supervision of senior engineers.

Will AI replace Data Engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. While AI tools can automate certain tasks like data cleaning and analysis, data engineers are essential for managing complex systems, ensuring data quality, and integrating new technologies. Skills in programming, cloud platforms, and data architecture remain critical in this evolving field.

What are some typical responsibilities of a Junior Data Engineer in their day-to-day work?

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.

Can I make 200K as a Data Engineer?

Senior Data Engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a 200K salary in many regions. Entry-level or junior Data Engineers typically earn lower salaries, with compensation increasing with expertise, location, and industry demand.

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

To thrive as a Junior Data Engineer, you need a foundational knowledge of programming (especially Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Experience with ETL tools, cloud platforms (like AWS or Azure), and data warehousing solutions, as well as relevant certifications, is highly beneficial. Attention to detail, effective communication, and a collaborative mindset are valuable soft skills that set candidates apart. These skills are crucial for building reliable data pipelines, ensuring data integrity, and working efficiently in data-driven teams.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $70,859 per year, or $34.1 per hour.

Data Engineer

Nastech Global

Sunnyvale, CA • On-site

$134K - $161K/yr

Full-time

Re-posted 26 days ago


Job description

Job Title: Data Engineer(SQl, Python)
Location: Sunnyvale, CA (onsite)
Job Type: full time
 
Job Description
Must Have Technical/Functional Skills
•  8+ years of professional experience in data engineering or backend data development roles.
• Expert-level proficiency in SQL, including performance tuning, window functions, CTEs, and analytical queries.
• Strong Python skills for scripting, data processing, and building ETL logic.
• Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).
• Proven experience designing and maintaining large-scale data pipelines in production environments.
• Solid understanding of data modeling techniques (dimensional modeling, normalization/denormalization).
• Strong grasp of data quality, validation, and governance practices.
• Proficiency with version control systems (e.g., Git) and agile development workflows.
• Ability to troubleshoot complex data issues and provide scalable solutions.
 
Roles & Responsibilities
•  Design, build, and maintain robust and scalable ETL/ELT pipelines using SQL and Python.
• Architect and implement high-performance data models that support both real-time and batch processing.
• Optimize complex SQL queries for performance, scalability, and reliability across large datasets.
• Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers.
• Own and improve data quality, validation, and governance processes.
• Monitor data pipelines and proactively address performance and reliability issues.
• 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 governance purposes.
• Participate in architectural decisions and contribute to long-term data platform strategy.