Data Engineer, 2027 Graduate U.S

Atlassian•Seattle, WA
•$103,086 - $162,150•Onsite

About The Position

Atlassian’s Grad++ 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 Seattle, WA. You must be able to work from this location to qualify. This position is not eligible for F1 and J1 students. It is not available for any work sponsorship. As a New Graduate in our world-class Data Engineering team, you'll influence product teams, inform Data Science and Analytics Platform teams, and partner with data consumers and products to ensure quality 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

  • Pursuing a Bachelor's or Masters in Computer Science or a related technical field and are graduating by August 2027
  • Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects
  • Experience programming with Python, or other related object-oriented programming languages
  • 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

Nice To Haves

  • An understanding of the SaaS business model 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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