Data Engineer Intern, 2027 Summer U.S.

Atlassian•Seattle, WA
•$47 - $64•Onsite

About The Position

Atlassian’s Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This role is located in the Seattle hub. You must be able to work from this hub to qualify. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship. Our paid internship program runs for 12 weeks between May/June - August/September 2027. As an intern in our world-class Data Engineering team, you'll influence product teams, inform Dat Science and Analytics Platform teams, and partner with data consumers and products to ensure qualify and usefulness of data assets. You will help strategize measurement, collecting data, and generating insights. This work will help understand and improve product experience and engagement, improve efficiency and costs, and guide strategy. You'll report to a Data Engineering Manager, and learn from your team mentor who are some of the best Data Engineers in the business.

Requirements

  • Experience programming with Python, or other related object-oriented programming languages
  • Have an interest in software engineering demonstrated by previous internships, work experience, projects, or publications
  • Knowledge of data structures, in particular how they are implemented and how to apply them to meet data challenges
  • Proficiency in SQL and relational databases experience
  • Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects
  • Able to commit to a 12 week full-time (40hrs/week) program during Summer 2027
  • Currently enrolled full-time in a 4-year bachelor's degree program and returning to the program after the completion of the internship, graduating by August 2028

Nice To Haves

  • An understanding of the SaaS business model and data structures or experience in Enterprise Software product development

Responsibilities

  • Define metrics
  • Instrument logging
  • Acquire/ingest data
  • Architect & modeling data
  • Transform data
  • Ensure data quality, governance, and enablement
  • Alerting, visualization, and reporting
  • Develop at scale and improving efficiency

Benefits

  • health and wellbeing resources
  • paid volunteer days
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