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Internship Data Backup Jobs in California (NOW HIRING)

Align Technology

Sr. Data Scientist

San Jose, CA · On-site

$158K - $218K/yr

S. Our internship hourly rates are a standard pay determined based on the position and your ... * Back-up Child/Elder Care and access to a caregiving concierge * Family Forming Benefits ...

Intel

HPC Dev Ops Engineer

Santa Clara, CA

$100K - $194K/yr

Track storage and backup usage, project future growth, manage data migrations, and enhance ... internship experiences and or schoolwork/classes/research. Job Type:Experienced Hire Shift:Shift 1 ...

Mercedes-Benz of Fairfield

HR Admin - PI

Sacramento, CA · On-site

... or HR internships are strongly encouraged to apply. You'll support day-to-day HR functions and ... data * Serve as a backup for payroll duties, ensuring payroll runs smoothly in the absence of the ...

Downtown Ford Sacramento

HR Admin - PI

Sacramento, CA · On-site

... or HR internships are strongly encouraged to apply. You'll support day-to-day HR functions and ... data * Serve as a backup for payroll duties , ensuring payroll runs smoothly in the absence of the ...

Downtown Ford of Sacramento

HR Admin - PI

Sacramento, CA · On-site

$26 - $32/hr

... or HR internships are strongly encouraged to apply. You'll support day-to-day HR functions and ... data * Serve as a backup for payroll duties , ensuring payroll runs smoothly in the absence of the ...

Downtown Ford Sacramento

HR Admin - PI

Sacramento, CA · On-site

... or HR internships are strongly encouraged to apply. You'll support day-to-day HR functions and ... data * Serve as a backup for payroll duties , ensuring payroll runs smoothly in the absence of the ...

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All JobsData Backup JobsInternship Data Backup JobsInternship Data Backup Jobs in California

Internship Data Backup information

What is the difference between Internship Data Backup vs Data Analyst?

AspectInternship Data BackupData Analyst
Required CredentialsBasic computer skills, possibly some coursework in IT or data managementBachelor's degree in data science, statistics, or related field
Work EnvironmentEntry-level, supervised, often in IT or data departmentsOffice setting, analyzing data, creating reports
Employer & Industry UsageInternship roles in tech, finance, healthcare, and moreFull-time roles across various industries requiring data analysis
Search & Comparison IntentUnderstanding entry-level data support rolesUnderstanding professional data analysis careers

Internship Data Backup typically involves entry-level tasks like copying, storing, and maintaining data under supervision, focusing on foundational IT skills. Data Analysts perform in-depth data examination, reporting, and insights generation, requiring more advanced education and experience. While both roles work with data, internships are designed for learning, whereas Data Analysts are full-time professionals.

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Staff+ Software Engineer, Data Infrastructure

Anthropic

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Re-posted 7 days ago

Job description

About the role

Data Infrastructure designs, operates, and scales secure, privacy-respecting systems that power data-driven decisions across Anthropic. Our mission is to provide data processing, storage, and access that are trusted, fast, and easy to use.

We're looking for infrastructure engineers who thrive working at the intersection of data systems, security, and scalability. You'll tackle diverse challenges ranging from building financial reporting pipelines to architecting access control systems to ensuring cloud storage reliability. This role offers the opportunity to work directly with data scientists, analysts, and business stakeholders while diving deep into cloud infrastructure primitives.

Responsibilities:

Within Data Infra, you may be matched to critical business areas including: 

  • Data Governance & Access Control: Design and implement robust access control systems ensuring only authorized users can access sensitive data. Build infrastructure for permission management, audit logging, and compliance requirements. Work on IAM policies, ACLs, and security controls that scale across thousands of users and systems.

  • Financial Data Infrastructure: Build and maintain data pipelines and warehouses powering business-critical reporting. Ensure data integrity, accuracy, and availability for complex financial systems, including third party revenue ingestion pipelines; manage the external relationships as needed to drive upstream dependencies. Own the reliability of systems processing revenue, usage, and business metrics.

  • Cloud Storage & Reliability: Architect disaster recovery, backup, and replication systems for petabyte-scale data. Ensure high availability and durability of data stored in cloud object storage (GCS, S3). Build systems that protect against data loss and enable rapid recovery.

  • Data Platform & Tooling: Scale data processing infrastructure using technologies like BigQuery, BigTable, Airflow, dbt, and Spark. Optimize query performance, manage costs, and enable self-service analytics across the organization.

You might be a good fit if you:
  • Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building data infrastructure, storage systems, or related distributed systems
  • Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
  • Can set technical direction for a team, not just execute within it
  • Have deep experience with at least one of:
  • Strong proficiency in programming languages like Python, Go, Java, or similar
  • Experience with infrastructure-as-code (Terraform, Pulumi) and cloud platforms (GCP, AWS)
  • Can navigate complex technical tradeoffs between performance, cost, security, and maintainability
  • Have excellent collaboration skills - you work well with both technical and non-technical stakeholders
Strong candidates may also have:
  • Experience with security and compliance requirements (ITGC, GDPR, financial controls)
  • Background in data warehousing, ETL/ELT pipelines, or analytics infrastructure
  • Experience with Kubernetes, containerization, and cloud-native architectures
  • Track record of improving data reliability, availability, or cost efficiency at scale
  • Knowledge of column-oriented databases, OLAP systems, or big data processing frameworks
  • Experience working in fintech, financial services, or highly regulated environments
  • Security engineering background with focus on data protection and access controls
Technologies We Use:
  • Data: BigQuery, BigTable, Airflow, Cloud Composer, dbt, Spark, Segment, Fivetran
  • Storage: GCS, S3
  • Infrastructure: Terraform, Kubernetes, GCP, AWS
  • Languages: Python, Go, SQL

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Apply