1

Summer Data Engineer Jobs in California (NOW HIRING)

About the Position The Golden State Warriors are looking for an experienced Data Engineer to join ... Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental ...

Sr. Data Engineer

El Segundo, CA · On-site +1

$140K - $150K/yr

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and ... Total Rewards at Fabletics includes: -Hybrid Work Schedule* -Discretionary Paid Time Off* -Summer ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're looking for a bright engineer keen on data and passionate about Slite's mission. This person ... We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer! This is a remote position. What's my mission ... We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the ...

Senior Data Engineer

Marina Del Rey, CA · On-site

$160K - $190K/yr

We are looking for a passionate data engineer to collaborate and grow alongside our experienced ... Summer Fridays (we leave early) * In-office lunches and lots of free food * Optional in-person and ...

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

About the Role Fashion Nova is seeking a Lead Data Engineer to help build and scale the data ... Summer Fridays at HQ * Company Sponsored Parties * Team bonding events and programs to strengthen ...

Data Engineering Summer Intern (May-Aug '27)

Irvine, CA · On-site

$18 - $23.25/hr

Description We are looking for a motivated Student Engineer to join our Enterprise Systems and Data ... This summer internship period is from May/June to August/September 2027. Responsibilities What you ...

New

next page

Showing results 1-20

Summer Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do summer data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for summer data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a summer data engineer?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What kinds of projects or tasks does a summer data engineer typically work on during an internship?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

What are the key skills and qualifications needed to thrive as a summer data engineer, and why are they important?

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

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 cities in California are hiring for Summer Data Engineer jobs?

Cities in California with the most Summer Data Engineer job openings:

Infographic showing various Summer Data Engineer job openings in California as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

$144K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago


Job description

About the Position

The Golden State Warriors are looking for an experienced Data Engineer to join the growing Business Strategy and Analytics team. In this role, you will help us achieve our mission of becoming a global leader in experiences and entertainment by working collaboratively with a team of data engineers, data scientists, and analysts. This position reports to the Senior Director, Business Strategy and Analytics. 

Come share your expertise while learning more about this growing sports and entertainment organization that values your passion and initiative!

This is a full-time position based onsite in San Francisco, CA.

Key Responsibilities

  • Build scalable and efficient data pipelines to extract, load, and transform (ELT/ETL) data from various sources
  • Work closely with data scientists, engineers, and analysts to design optimal data models and schema structures for efficient data storage and retrieval in BigQuery
  • Optimize data pipelines, queries, and database structures for improved performance, throughput, and cost efficiency
  • Implement data quality checks, validation processes, and data governance policies to ensure data accuracy, integrity, and compliance with industry standards and regulations
  • Develop monitoring systems and proactive alerts to identify and resolve data pipeline issues, performance bottlenecks, and system failures
  • Collaborate with cross-functional teams to understand data requirements, provide technical guidance, and document data engineering processes, standards, and best practices
  • Maintain a deep understanding of emerging data and AI technologies, develop, and deliver scalable generative AI data products and pipelines that drive organizational efficiency
  • Other duties as assigned

Required Experience & Skills

  • Bachelor's degree in Computer Science/Data Science, or equivalent work experience
  • Minimum 4 years working on a data team
  • Experience managing and working with data in a cloud environment
  • Strong proficiency in SQL and at least one programming language (e.g., Python)
  • Experience building and maintaining complex ELT/ETL data pipelines, using orchestration tools (e.g., Airflow)
  • Knowledge of data modeling concepts and experience in designing efficient data models and schemas
  • Familiarity with data governance, data quality, and compliance practices
  • Excellent written and verbal communication; strong presentation skills with the ability to influence technical and non-technical partners
  • Ability to build positive working relationships with business partners and peers at all levels within the organization
  • Ability to balance multiple projects at once in a fast-paced work environment
  • Passion and curiosity about sports and entertainment

Preferred Qualifications

  • Master's degree
  • Track record of developing and supporting production analytical models using dbt
  • Familiarity with GCP (Google Cloud Platform) data solutions and services
  • Prior collaboration with Business Intelligence (BI) teams
  • Comfortability utilizing software engineering best practices, including version control, code reviews, testing, and CI/CD
  • Familiarity integrating data with generative AI tools to support conversational analytics

Compensation

  • $144,000 - $153,000 Per Year + Bonus
  • Comprehensive Medical, Dental and Vision benefits for employees and dependents
  • Employer 401K match
  • Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leaves
  • Warriors home tickets, team store discount and more!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 Golden State is an equal opportunity employer.

We will ensure that qualified applicants with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Want to learn more about who we are and what we value? Visit www.warriors.com/employment

Please refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.