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Internship Data Jobs in San Ramon, CA (NOW HIRING)

Associate, Damages & Valuations

San Francisco, CA · On-site

$18.50 - $24.75/hr

Strong preference for candidates who have completed substantive research projects, undergraduate theses, consulting internships, data analytics internships, or similar experiences demonstrating ...

Skillbridge Internship

Sunnyvale, CA · On-site

$19.75 - $25.50/hr

SkillBridge Interns play a meaningful role in shaping our processes, culture, and technology. This ... Support real-world testing, data collection, and mission execution activities for autonomous ground ...

Data Engineer

Palo Alto, CA · On-site

$150K - $210K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline * 1+ years of data/software engineering experience (internship experience is applicable) * Experience ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... you're excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we ...

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... you're excited to learn fast, collaborate deeply, and deliver meaningful improvements for users, we ...

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline * 1+ years of data/software engineering experience (internship experience is applicable) * Experience ...

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline * 1+ years of data/software engineering experience (internship experience is applicable) * Experience ...

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Internship Data information

See San Ramon, CA salary details

$13

$25

$47

How much do internship data jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for internship data in San Ramon, CA is $25.15, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $27.40 per hour, depending on experience, location, and employer.

What types of projects do data interns typically work on during their internship?

Data interns often support teams by working on real-world projects such as data cleaning, organizing large datasets, and assisting in data analysis using tools like Excel, Python, or SQL. They may also help visualize data findings, prepare reports, and participate in cross-functional meetings to understand business needs. These tasks provide valuable exposure to the data lifecycle and help interns develop practical technical and communication skills vital for a future career in data roles.

What are the key skills and qualifications needed to thrive as a Data Intern, and why are they important?

To thrive as a Data Intern, you generally need a background in statistics, mathematics, or computer science, along with proficiency in data analysis and problem-solving. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often required. Strong attention to detail, eagerness to learn, and effective communication skills help interns collaborate with teams and present findings clearly. These skills are essential for accurately analyzing data, contributing to projects, and gaining valuable experience in a real-world data environment.

What are internship data roles?

Internship data roles are entry-level positions designed for students or recent graduates to gain practical experience in data-related fields. These internships typically involve tasks such as data collection, cleaning, analysis, and visualization under the supervision of experienced data professionals. Interns may work with databases, statistical software, or programming languages like Python or R, and assist in projects that support business decision-making. The goal is to help interns build foundational skills and industry knowledge to prepare them for full-time data careers.

What is the difference between Internship Data vs Data Analyst?

AspectInternship DataData Analyst
Required CredentialsTypically pursuing or recent graduate, some technical skillsBachelor's degree in related field, some roles prefer certifications
Work EnvironmentTemporary, learning-focused, entry-level tasksFull-time, ongoing projects, more responsibility
Employer & Industry UsageInternships offered by companies for trainingFull-time roles in various industries like finance, healthcare, tech

Internship Data positions are designed for students or recent graduates gaining initial experience, often with limited responsibilities. Data Analysts are full-time professionals responsible for analyzing data, creating reports, and supporting decision-making. The internship serves as a stepping stone toward a full Data Analyst role, which requires more skills and experience.

What are the most commonly searched types of Data jobs in San Ramon, CA? The most popular types of Data jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Internship Data jobs? Cities near San Ramon, CA with the most Internship Data job openings:
Data Warehouse Engineer

Data Warehouse Engineer

Together AI

San Francisco, CA • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
Together AI is a research-driven artificial intelligence company focused on building high-performance inference compute and software platforms. They are seeking an early-career Data Warehouse Engineer to contribute to designing and operating their data warehouse, ETL pipelines, and improve data quality and governance.
Responsibilities:
• Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
• Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
• Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
• Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
• Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
• Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
• Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
• Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
• Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
Qualifications:
Required:
• 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
• Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
• Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
• Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
• Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
• Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
• High standards for data quality, reliability, and maintainability — you care about getting things right.
Company:
Together AI provides a cloud platform for developing, training, fine-tuning, and deploying generative AI models. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.