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Junior Data Engineer Jobs in San Ramon, CA (NOW HIRING)

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

$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 ...

... guiding junior team members - Upholding standards in project deliverables - Building and ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

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 ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Performs collaborative work on data science problems and mentors junior data scientists. * Creates ... Nice to Have: * PhD in engineering or a related field. * Experience with AWS, Azure, cloud ...

Mentor junior data scientists and analysts, and partner with engineering to productionize models. Who You Are * AI-Native: You're already using AI in your daily workflow to move faster from question ...

Showing results 21-40

Junior Data Engineer information

See San Ramon, CA salary details

$37.4K

$80.2K

$122.4K

How much do junior data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for junior data engineer in San Ramon, CA is $80,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $89,400.00 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 San Ramon, CA? The most popular types of Data Engineer jobs in San Ramon, CA are:
What are popular job titles related to Junior Data Engineer jobs in San Ramon, CA? For Junior Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Junior Data Engineer jobs in San Ramon, CA look for? The top searched job categories for Junior Data Engineer jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Junior Data Engineer jobs? Cities near San Ramon, CA with the most Junior Data Engineer job openings:
Infographic showing various Junior Data Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,237 per year, or $38.6 per hour.

Senior Data Engineer

RZR Global Inc.

San Francisco, CA • On-site

$124K - $169K/yr

Full-time

Re-posted 19 days ago


Job description

Who are we?RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.
Role Overview
RZR Global is seeking a talented Data Engineer to join our growing engineering team. This role is ideal for an engineer with a strong background in building and operating large-scale, high-performance data pipelines. As a Data Engineer, you will design, develop, and maintain the data infrastructure that powers our programmatic Demand-Side Platform (DSP), enabling real-time and batch processing of massive volumes of event, log, and campaign data. You will work with technologies such as ClickHouse, Kafka, Spark, HDFS, and Fluentd to ensure data is reliable, scalable, and accessible for analytics, reporting, and machine learning. You will collaborate closely with backend engineers, data scientists, and product teams to deliver high-quality data solutions that support real-time bidding (RTB), optimization, and business insights.
Key Responsibilities
  • Architect, design, and own highly scalable, fault-tolerant data pipelines for real-time and batch processing of large-scale event and campaign data.
  • Lead the development of data processing systems using Kafka, Spark, ClickHouse, HDFS, and Fluentd, with a strong focus on performance, reliability, and data correctness.
  • Partner closely with backend engineers, data scientists, and product teams to define data models, SLAs, and end-to-end data flows that support real-time bidding (RTB), analytics, and machine learning use cases.
  • Drive performance optimization, capacity planning, and cost efficiency across streaming and batch data platforms.
  • Establish and enforce best practices around data quality, monitoring, alerting, testing, and operational readiness.
  • Conduct design and code reviews, mentor junior engineers, and provide technical leadership across data engineering initiatives.
  • Evaluate and introduce new data technologies, frameworks, and architectural improvements to evolve the data platform at scale.
Required Skills / Experience
  • 6+ years of experience in data engineering, backend engineering, or distributed systems development.
  • Strong proficiency in building and operating large-scale data pipelines using technologies such as Kafka, Spark, ClickHouse, HDFS, and Fluentd.
  • Solid understanding of distributed systems concepts, including data partitioning, fault tolerance, consistency, and scalability.
  • Experience designing efficient data models and schemas for analytical and real-time workloads.
  • Strong experience with streaming and batch processing architectures.
  • Experience with performance tuning, capacity planning, and troubleshooting production data systems.
  • Familiarity with data quality, monitoring, alerting, and operational best practices.
  • Knowledge of real-time systems, ad tech, programmatic advertising, RTB, or large-scale analytics platforms is a plus.
  • Excellent problem-solving skills, strong ownership mindset, and ability to operate effectively in a fast-paced, high-scale environment.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.