Data Engineer Intern
Los Angeles, CA, United States
- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingCreate and maintain data pipelines for machine learning research and development
Automate data QA and redesign infrastructure for scalability
Build extraction, transformation and loading infrastructure using SQL and AWS/AliCloud
Build analytics tools that give insight into product use and operational efficiency
Keep data separated and secure across national boundaries, locally and in cloud storage
From the employer’s posting
Create and maintain optimal data pipelines to support machine learning research and development
automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency.
Keep our data separated and secure across national boundaries both locally and on cloud storage.
What you’ll bring
All qualificationsCore experience
- Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Solid understanding of information retrieval, statistics and machine learning.
- Experience supporting and working with cross-functional teams in a dynamic environment.
Preferred experience
- Experience with Computer Vision and NLP is a plus.
Qualification wording
Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Solid understanding of information retrieval, statistics and machine learning. Experience with Computer Vision and NLP is a plus.
Experience supporting and working with cross-functional teams in a dynamic environment.
Education & alternatives
- Experience supporting and working with cross-functional teams in a dynamic environment. - MS, BA/BS degree in computer science, statistics or related field. Additional Information
Tools in this posting
- C++
- Java
- Python
- Scala
- SQL
- AWS
- Redshift
- PostgreSQL
Source — Tool mentions in context
Qualifications - Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc - Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres).
- Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies. - Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency.
- Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc - Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres). - Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system. - Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift - Skillful with automation tasks, but willing to get hands dirty for quality control.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 117 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 3, 2026 · 117 days ago
- Recorded sightings
- 34
- Last seen by us
- Oct 28, 2026
- Employer says posted
- Apr 8, 2022
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Description
The Data team at VoxelCloud (Westwood, Los Angeles, CA) manages and maintains large-scale medical and healthcare data at the core of all our R&D activities. Reporting to Data Team Lead, the Data Engineer intern will participate in the acquisition and manipulation of massive datasets in multi-modal formats (medical images, text(EMR), etc.) on cloud storage. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer intern will support our software developers and machine learning engineers on product/research initiatives and will create an optimal data delivery pipeline that is consistent across ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Responsibilities:
- Create and maintain optimal data pipelines to support machine learning research and development
- Identify, design, and implement internal process improvements: automating data QA, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/AliCloud big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into product utilization and operational efficiency.
- Keep our data separated and secure across national boundaries both locally and on cloud storage.
Qualifications
- Proficient with at least one object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Postgres).
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Solid understanding of information retrieval, statistics and machine learning. Experience with Computer Vision and NLP is a plus.
- Prefer 1+ years in big data and related technology (e.g. DFS); experience with high-performance and scalable distributed system.
- Prefer experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Skillful with automation tasks, but willing to get hands dirty for quality control.
- Detail-oriented, well organized and self-motivated with a continuous drive to learn, explore and challenge; good communication skills and team player.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- MS, BA/BS degree in computer science, statistics or related field.
Additional Information
We Offer…
- An outstanding start-up culture;
- Transparent, collaborative work environment;
- Competitive compensation
- Excellent Medical, Dental, and Vision coverage
- 401k, paid Vacation and Holiday
All your information will be kept confidential according to EEO guidelines.
Company Description
Founded in 2016, VoxelCloud is a Los Angeles-based leader worldwide in artificial intelligence (AI) analysis of medical images. Backed by Sequoia and Tencent. We help healthcare providers make better/earlier diagnoses and other clinical decisions. http://www.voxelcloud.ai
Source details
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- Pay
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- Location & working pattern
Los Angeles, CA, United States
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- Work authorization
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