Data Engineering, Intern

  • Lehi, UT, USA
  • Intern

Company Description

It takes customer obsession to pioneer and focus on what matters most, to tackle challenges, break through boundaries to create change, to stay on the cutting edge, and pioneer relentlessly. We are looking for the next generation of talent to drive the business, grow our people, and put the customer before all else.

Our culture empowers journeys of personal discovery, giving you the freedom to participate in impactful projects and explore the intersections of our businesses: technology, data science, DNA science, product, design, marketing, legal, and more. We’re looking for innovative minds, diverse ideas, and for students interested in connecting personal discoveries and technology. Our interns enjoy mentorship and experience challenging work while receiving fantastic pay, fully-paid temporary housing, and having a fun captivating experience—we have it all. Oh, and did we mention the possibility of full-time employment once you graduate?

Job Description

Ancestry seeks a highly motivated, internet-savvy Data Engineer Intern to join our Data Lake team. The Data Lake team is tasked with creating a centralized Data Platform that all organizations at Ancestry are using to make critical business decisions. As a Data Engineer on the Data Lake team you will work to build pipelines and infrastructure to support the pipelines that serve data from sources into the Data Lake.

What You’ll Do:

  • AWS infrastructure deployments
  • Pipeline Engineering using Kafka, Spark, and other AWS technologies.
  • Build data models that support thousands of different types of queries
  • Work with a development team as if you are a full-time employee with the user stories being assigned to you each sprint

Qualifications

Who You Are:

  • Currently pursuing a bachelor’s, master’s or Ph.D. level degree
  • Must be currently enrolled in a university and graduating after Summer 2019
  • Have competency in Java, Python, or Scala
  • SQL proficiency
  • Interested in BIG data processes and pipelines
  • Eager to learn open source technologies and be happy with the frustrations that using them can cause 
  • Experience with EMR, Redshift, Kafka, or other data offerings in AWS is a plus

For more information on what we do and to apply to open Ancestry internships, visit our careers page: https://www.ancestry.com/corporate/careers/search-jobs/department/internships

Additional Information

Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.

Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed (including religious dress and grooming practices), national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and medical conditions related thereto), sexual orientation, gender, gender identity and expression, age (40 and older), mental or physical disability (including HIV and AIDS), medical condition (cancer and genetic characteristics), veteran status, citizenship, marital status, genetic information, or any other basis that is prohibited by applicable law.   The Company also makes reasonable accommodations to applicants or employees with qualifying disabilities who request them and who otherwise meet the requirements of applicable law.  If you would like to request an accommodation during the application process, please contact our Director of Recruiting. 

All job offers are contingent on a background check screen that complies with applicable law.  For San Francisco office candidates, Ancestry will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco's Fair Chance Ordinance.

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