Data Engineer Intern – Data Science


Data Engineer Intern – Data Science-Summer 2021

LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to make a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy, we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

LinkedIn’s Data Science team leverages big data to empower business decisions and deliver
data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts. As a Data Engineer intern in the Data Science team, you will be responsible for building tools and data pipelines to provide data insights and improve productivity, which will directly impact various cross-functional teams such as product, marketing, and engineering across the company.

You will work with a team of high-performing data science professional and cross-functional teams to enable and scale data insights.
You will learn the state-of-the-art in data pipelines and hands-on experience working with data science and business partners on understanding data needs and executing data solutions.
You will design and build efficient and reliable data pipelines and data models to empower data customers to confidently measure product and business success and run data analytics projects at scale.
You will build data expertise, act like an owner for the company, and ensure best practices and standards in our data ecosystem.
This is a full-time internship role based in Sunnyvale, CA
This internship will take place between May – September 2021

Basic Qualifications:
Bachelor’s Degree in Computer Science, Engineering or related technical field and returning to the program after the completion of the internship
Experience with coding languages Python OR Scala
Experience in the Big Data technologies (Spark, Hadoop, M/R, HDFS, Pig, Hive, Presto, etc.).

Preferred Qualifications:
Expected to complete degree by December 2022 or earlier
Masters or Ph.D. degree in Computer Science, Engineering or related technical field and returning to the program after the completion of the internship
Experience with Spark performance tuning.
Experience in developing data pipelines using Scala.
Experience with analyzing data to discover opportunities and address gaps.
Knowledge of data infrastructure, framework and design.
Understanding of technical and functional designs for Databases, Reporting, and Data Mining areas.
Knowledge of Unix and Unix-like systems, git and review board.

Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: Please reference and for more information.

LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn’s legal duty to furnish information.

Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link:

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants:

Seniority Level



  • Internet
  • Information Technology & Services

Employment Type


Job Functions

  • Engineering


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