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Associate Data Engineer Internship Jobs in California

Stanford University

Associate Data Engineer

Redwood City, CA · On-site

$140K - $168K/yr

Stanford University is a prestigious institution seeking an Associate Data Engineer. The role involves executing programming tasks, developing solutions for complex systems, and leading projects ...

cosm

Associate Data Engineer

Los Angeles, CA

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

cosm

Associate Data Engineer

Los Angeles, CA

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

cosm

Associate Data Engineer

Los Angeles, CA

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

Cosm

Associate Data Engineer

Los Angeles, CA · On-site

$75K - $90K/yr

We are looking for an Associate Data Engineer to join our team at Cosm. The successful candidate will be responsible for building and managing data pipelines that power business operations for Cosm ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field. * 6+ months of Data Science related work, projects or internships. * Strong SQL ...

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Associate Data Scientist (Scopely Explore (formerly known as Niantic)): Analyze and interpret ... Collaborate with the game engineering team to ensure data quality, integrity, and availability for ...

SpaceXAI

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Required : • Bachelor's degree in computer science, data science, physics, mathematics, or a STEM discipline • 1+ years of data/software engineering experience (internship experience is ...

Knit Health

Data Engineer II

San Francisco, CA

$110K - $135K/yr

A combination of internships, research, and substantial project experience that clearly demonstrates equivalent data engineering capability Regardless of path, you should be able to demonstrate ...

Cumming Group

Junior Data Engineer

Murrieta, CA · On-site

$91K - $121K/yr

... data engineering tools (internships or academic projects acceptable). * Strong knowledge of SQL and experience querying large datasets. * Familiarity with Apache Spark or Databricks. * Basic ...

Pwc

Data Engineer - Senior Associate

San Diego, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Irvine, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Los Angeles, CA

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the ...

Knit Health

Data Engineer II

San Francisco, CA · On-site

$134K - $162K/yr

A combination of internships, research, and substantial project experience that clearly demonstrates equivalent data engineering capability Regardless of path, you should be able to demonstrate ...

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Associate Data Engineer Internship information

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

AspectAssociate Data Engineer InternshipData Engineer
Required CredentialsEnrolled in or recent graduate of a related degree (e.g., Computer Science, Data Science)Bachelor's or Master's in relevant field, often with professional experience
Work EnvironmentInternship setting, supervised, learning-focusedFull-time professional role, independent project work
Employer & Industry UsageTech companies, startups, data-driven organizationsSame as internship, but with more responsibility and independence

The Associate Data Engineer Internship is a temporary, learning-focused position for students or recent graduates, while a Data Engineer is a full-time professional responsible for building and maintaining data pipelines and infrastructure. Internships serve as entry points, whereas Data Engineers have established roles with greater responsibilities.

Associate Data Engineer Internship jobs near you
Associate Data Engineer

Associate Data Engineer

Stanford University

Redwood City, CA • On-site

$140K - $168K/yr

Full-time

Posted 22 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

225th of 612 rated colleges and universities

Job description

Job Summary:
Stanford University is a prestigious institution seeking an Associate Data Engineer. The role involves executing programming tasks, developing solutions for complex systems, and leading projects while mentoring junior developers.
Responsibilities:
• Conceptualize design, implement and develop solutions for complex system/programs independently.
• Design and develop applications that may involve sophisticated data manipulation. Implementation and maintenance of complex Data Store/ Data Lake/Lake house and Data warehousing systems and data-intensive solutions that are scalable, optimized, and fault-tolerant.
• Document system builds and application configurations; maintain and update documentation as needed.
• Provide technical analysis, design, development, conversion and implementation work.
• Work as a project leader, as needed, for projects of moderate complexity.
• Serve as a technical resource for all Data Engineering applications.
• Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment.
• Follow team software development methodology.
• Mentor lower-level software developers.
• Design and implement Data Migration and Data Integration across cloud and hybrid environments.
• Mastery and hands-on experience with Data Engineering technologies and scripting languages
• Ability to translate complex functional and technical requirements into detailed architecture, design and high-performing software.
• Design, build and optimize pipelines for data collection for storage, access and analytics.
Qualifications:
Required:
• Bachelor's degree and five years of relevant experience, or a combination of education, training and relevant experience.
• Expertise in designing, developing, testing, and deploying applications.
• Ability to define and solve logical problems for highly technical applications.
• Hands-on experience and training in Advanced SQL, Advanced Python programming, AWS Services (such as S3, Redshift, Glue ETL, IAM, DMS, Appflow, VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools.
• Experience in writing reusable complex Python/PySpark scripts for ELT, Business Logic OR APIs.
• Hands-on development work on all aspects of data analysis, data provisioning, modeling, performance tuning and optimization.
• Experience in working on AWS cloud environment, using the marketplace for the right tool, efficient utilization of them to meet business requirements.
• Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processing using various technology stack.
• Experienced in Data Modeling, Data Migration and Data Integration.
• Know the pain points in Data integration across SaaS applications and implement the best solution that fits the organization.
• Strong communication skills with both technical and non-technical clients.
Preferred:
• Other Coding experience such as Scala and R Programming is a plus.
Company:
Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business. Founded in 1885, the company is headquartered in Stanford, USA, with a team of 10001+ employees. The company is currently Late Stage.

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