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

Samba

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 ...

Samba

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 ...

Samba

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 ...

3B Staffing LLC

Data Scientist

San Francisco, CA

... engineers to support delivery of high-value analytics and software products. Position ... Performs collaborative work on data science problems and mentor junior data scientists * Creates ...

3B Staffing LLC

Data Scientist

San Francisco, CA

... engineers to support delivery of high-value analytics and software products. Position ... Performs collaborative work on data science problems and mentor junior data scientists * Creates ...

CYNET SYSTEMS

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 ...

MrBeast

Senior Data Scientist

San Mateo, CA · Hybrid

$209K - $239K/yr

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 ...

Vercel

Senior Data Engineer - GTM

San Francisco, CA · On-site +1

$170K - $260K/yr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the ... more junior engineers Benefits: * Competitive compensation package, including equity. * Inclusive ...

Socket.dev

Senior Data Engineer - GTM

San Francisco, CA · On-site

$170 - $260/hr

About the Role: We're looking for a Senior Data Engineer to join our Data team and own the ... more junior engineers Benefits: * Competitive compensation package, including equity. * Inclusive ...

Turo

Staff Data Engineer, Data Platform

San Francisco, CA · Hybrid

$182K - $228K/yr

Increase overall team effectiveness by mentoring and developing junior engineers. * Design and enforce robust data security architectures and controls. Your profile: * Solid foundation in software ...

Turo

Staff Data Engineer, Data Platform

San Francisco, CA · On-site

$182K - $228K/yr

Increase overall team effectiveness by mentoring and developing junior engineers. * Design and enforce robust data security architectures and controls. Your profile: * Solid foundation in software ...

Five9

Vice President, Data Science

San Ramon, CA · On-site

Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ... Passion for mentoring senior and junior data scientists, fostering technical excellence, and ...

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All JobsData Engineer JobsJunior Data Engineer JobsJunior Data Engineer Jobs in San Ramon, CA

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 Sep 5, 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:

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For Junior Data Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

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The top searched job categories for Junior Data Engineer jobs in San Ramon, CA are:

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Junior Data Engineer jobs near you
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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $80,237 per year, or $38.6 per hour.

Data Scientist

Samba

San Francisco, CA • On-site

$150K - $185K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Job description

Samba is a media intelligence company. We know what the world is watching, reading, and thinking about - in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it's the most interesting data asset on the planet, because it's the most culturally relevant. 

ABOUT THE ROLE

We are looking for a hands-on Data Scientist to own and deliver complex measurement science and modeling work at the core of our measurement and audience sciences products. 

The role requires a deep, first-principles understanding of data science and machine learning - not just the ability to apply libraries, but the ability to reason clearly about model behavior, articulate trade-offs between approaches, and make defensible methodological decisions under ambiguity. This is emphatically a coding role - you will spend the majority of your time writing production-quality Python, building and evaluating models on large-scale viewership and web data, and delivering end-to-end ML solutions.

You will work closely with Data Engineering, Product, and go-to-market teams.

WHAT YOU'LL DO

  • Write and own production-quality Python code end-to-end - well-structured, tested, documented, and built to last; PySpark proficiency is essential for working with Samba's billion-row viewership datasets

  • Design, build, and deploy measurement models and statistical frameworks that power Samba's campaign measurement, reach/frequency estimation, and cross-platform attribution products

  • Apply the right statistical and ML technique to the right problem - drawing from hierarchical models, Bayesian inference, gradient boosting, regularized regression, causal ML, and probabilistic record linkage - and clearly articulate the reasoning behind your choices

  • Build and evaluate multi-touch and multi-channel attribution models; apply Causal ML methods - counterfactual modeling, meta-learners (S-learner, T-learner, X-learner), and heterogeneous treatment effect estimation - to advertising and viewership measurement problems

  • Partner with Data Engineering to define data requirements, validate pipelines, and ensure model inputs are reliable, scalable, and production-ready

  • Lead technical design reviews and contribute meaningfully to architecture decisions across the Data Science team

  • Mentor junior Data Scientists through code review, pairing, and structured technical feedback - raising the team's technical floor

  • Communicate measurement methodologies and findings clearly to technical and non-technical audiences, including senior leadership and external clients

WHO ARE YOU

  • 5-7 years of professional data science experience - hands-on, delivery-focused, and measurable in shipped models and production systems

  • Expert-level Python - clean, modular, testable, production-ready code is your standard, not your aspiration

  • Advanced PySpark and Databricks - comfortable building and optimizing data pipelines and ML workflows on billion-row datasets

  • Deep, first-principles command of statistics and ML - you can explain from the ground up how these models work and you apply this understanding to make better modeling decisions

  • Solid grasp of experimental design - A/B testing, randomization, power analysis, and the conditions under which observational causal inference is appropriate

  • Fluent in the full ML lifecycle: feature engineering, model evaluation, deployment pipelines, drift monitoring, and iterative improvement in production

  • Hands-on experience with uplift modeling, synthetic control, difference-in-differences, or propensity-based approaches applied to advertising or media outcomes

  • Strong ownership mindset - you drive projects independently and are comfortable owning your models from data exploration through production delivery, with minimal hand-holding.

  • Clear communicator - able to translate statistical reasoning and model behavior into language that drives decisions with product, engineering, and leadership

  • Experience with multi-touch attribution (MTA) or multi-channel attribution modeling - understanding of the limitations of rule-based approaches and the methodological trade-offs of data-driven alternatives

  • Hands-on experience with Causal ML methods - counterfactual modeling, meta-learners, and heterogeneous treatment effect estimation - applied to advertising or media measurement outcomes

  • Direct exposure to TV or digital viewership data - ACR signals, STB data, viewership panels, or cross-platform measurement (linear + CTV/OTT)

  • Familiarity with the measurement

  • t vendor landscape (Nielsen, Comscore, VideoAmp, iSpot) and industry standards (MRC, GRP/TRP frameworks)

  • Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative field - or equivalent depth demonstrated through work

$150,000 - $185,000 a year
Samba expects to offer a base salary between $150,000 - $180,000 USD per year for roles to be performed in San Francisco or California; actual base salary offered will depend on various factors including but not limited to location, experience, and performance. Base salary is just one component of Samba's total compensation package for employees. Other rewards may include bonuses, short-term incentives and long-term incentives. In addition, Samba provides health insurance, wellness offerings, life and disability insurance, a retirement savings plan, paid holidays and paid time off (PTO), and other employee benefits.
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
 
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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