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Data Infrastructure Internship Jobs in California

This internship provides hands-on experience in building production-ready data systems within a ... infrastructure and workflows Other Duties: Perform other related duties and ad hoc projects as ...

This internship provides hands-on experience in building production-ready data systems within a ... infrastructure and workflows Other Duties: Perform other related duties and ad hoc projects as ...

By bringing the right data to the people who need it, our platforms empower our partners to develop ... Backend Infrastructure: Maximizes the productivity of our backend developers and ensures Palantir ...

Sr. Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Monitor and optimize data infrastructure performance, troubleshooting issues as needed within the ... S. Our internship hourly rates are a standard pay determined based on the position and your ...

Showing results 21-40

Data Infrastructure Internship information

What is the difference between Data Infrastructure Internship vs Data Engineer?

AspectData Infrastructure InternshipData Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fieldsBachelor's or Master's in Computer Science, Software Engineering, or related fields; often requires professional experience
Work EnvironmentInternship setting, often in tech companies or data-driven organizations, with mentorshipFull-time professional role, involved in designing, building, and maintaining data systems
Employer & Industry UsageUsed by companies hiring interns to support data infrastructure projectsUsed by organizations to develop scalable data pipelines and infrastructure

The Data Infrastructure Internship is an entry-level position aimed at students or recent graduates gaining hands-on experience. In contrast, a Data Engineer is a full-time professional responsible for developing and maintaining data systems. Internships provide foundational exposure, while Data Engineers handle complex, ongoing data infrastructure tasks.

What are the most commonly searched types of Data Infrastructure jobs in California?

The most popular types of Data Infrastructure jobs in California are:

What cities in California are hiring for Data Infrastructure Internship jobs?

Cities in California with the most Data Infrastructure Internship job openings:

Infographic showing various Data Infrastructure Internship 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.

Data Engineer Graduate (Monetization Data) - 2027 Start

TikTok

San Jose, CA • On-site

$128K - $256K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

107th of 245 rated software companies


Job description

Responsibilities
The Monetization Data team builds the data foundation that powers TikTok's global advertising and monetization products. We design and operate large-scale batch and real-time data pipelines, data warehouses, and analytics platforms that help improve advertiser experience, measure business performance, support experimentation, and drive product and strategy decisions. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early. Key Responsibilities: - Design, build, and maintain scalable batch and real-time data pipelines to process large-scale user behavior, advertising, and monetization data. - Develop reliable data models, datasets, and metrics that support ads ranking, measurement, experimentation, business analytics, and strategic decision-making. - Partner with product managers, data scientists, analysts, and engineering teams to understand data needs, define success metrics, and deliver actionable insights. - Improve data quality, observability, latency, cost efficiency, and platform reliability across large-scale distributed systems. - Contribute to the evolution of big data infrastructure and computing platforms, including Spark, Flink, Hive, Kafka, and related internal systems.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a Bachelor's or Mster's degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics or a related discipline. - Strong programming skills in at least one general-purpose language such as Python, Java or Go. - Strong SQL skills and understanding of relational databases, data modeling, or data warehousing concepts. - Familiarity with distributed data processing or storage systems such as Spark, Flink, Hadoop, Hive, Kafka, Presto/Trino, or similar technologies. - Strong problem-solving skills, data-driven thinking, and ability to use data to identify issues, form hypotheses, and validate solutions. - Ability to work collaboratively in a fast-paced, cross-functional engineering environment. Preferred Qualifications: - Internship, research, coursework, or project experience in data engineering, backend engineering, distributed systems, data analytics, or machine learning infrastructure. - Experience building ETL/ELT pipelines, workflow orchestration, data quality checks, dashboards, or analytical datasets. - Experience with advertising technology, recommendation systems, experimentation platforms, or user behavior data analysis. - Familiarity with cloud data platforms, lakehouse architectures, or modern data tools such as Airflow, dbt, Iceberg, Delta Lake, Snowflake, BigQuery, Redshift, or Databricks. - Experience using AI-assisted development tools, LLM applications, or agentic workflows to improve engineering productivity. - Contributions to open-source projects, technical communities, hackathons, or substantial personal projects. - Experience contributing to open-source projects and the community; candidates with experience in big data processing or user behavior data analysis is a plus but not required.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $128000 - $256000 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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