Data Engineering Intern
Santa Ana, CA, United States
Full Time Internship Entry-level / Junior USD 40K - 50K
Berkley
Berkley is a leader in commercial lines insurance, with 55+ specialized businesses - each with deep expertise in an industry, product, or regional niche.Company Details
Berkley Enterprise Risk Solutions is part of the Berkley Insurance Company. Berkley Enterprise Risk Solutions provides tailored workers’ compensation programs to large employers whose cost of insurance is material to their overall financial performance.
Company URL: www.berkleyenterpriserisk.com
The company is an equal opportunity employer.
Responsibilities
Join our innovative California workers' compensation insurance team for a summer internship in data engineering. This hands-on role will provide valuable experience working with specialized insurance datasets, regulatory reporting, ETL pipelines, and machine learning workflows. As part of our small, flat organization, you'll gain valuable insights directly from department leaders while building practical skills that directly provide value to customers.
Key functions include but are not limited to:
- Assist in improving data pipelines for processing insurance datasets
- Support the creation of reporting tools to help with regulatory compliance
- Help optimize current data workflows to make them more efficient
- Contribute to projects focused on workers’ compensation analytics
Qualifications
- Currently pursuing a degree in Computer Science, Data Science, Statistics, or related field
- Intermediate/ advanced programming knowledge (Python, SQL, or similar languages)
- Interest in data engineering and analytics
- Curiosity about the insurance industry, particularly workers' compensation
- Collaborative mindset and eagerness to learn in a team environment
Additional Company Details
We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan: • Base Salary Range: $20-$25/hour The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.Sponsorship Details
Sponsorship not Offered for this RoleTags: Computer Science Data pipelines Engineering ETL Machine Learning Pipelines Python SQL Statistics
Perks/benefits: Competitive pay
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