Data Engineer, 2027 Graduate U.S
Seattle, WAInternship$103–162K/yrPosted 2w agoStill listed today
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At a glance
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Job overview
Atlassian’s Grad++ program offers hands-on technical training, mentorship, professional growth, and social connections for new graduates. In this Seattle-based Data Engineering role, the hire will partner with product, data science, analytics, and data-consumer teams to improve data assets and product insights. Candidates must be able to work from Seattle and graduate by August 2027; the role is not available to F1 or J1 students and offers no work sponsorship.
Skills & qualifications
Skills
Qualifications
Full job description
Overview
Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed. Your Future Org 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. Your Future Team 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.
Responsibilities
Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:
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Define metrics
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Instrument logging
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Acquire/ingest data
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Architect & modeling data
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Transform data
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Ensure data quality, governance, and enablement
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Alerting, visualization, and reporting
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Develop at scale and improving efficiency
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $124,200 - $162,150 Zone B: $111,780 - $145,935 Zone C: $103,086 - $134,585
Qualifications
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Pursuing a Bachelor's or Masters in Computer Science or a related technical field and are graduating by August 2027
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Demonstrated interest in the Data Engineering field through academic coursework, previous work or internship experience, or personal projects
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Experience programming with Python, or other related object-oriented programming languages
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Knowledge of data structures, in particular how they are implemented and how to apply them to meet data challenges
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Proficiency in SQL and relational databases experience
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Huge Plus: An understanding of the SaaS business model or experience in Enterprise Software product development
Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh. In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.
How this job compares
Set against the 2,902 open Data Engineering jobs on Olive Jobs, counted November 5, 2026.
- Pay
- This posting$103–162K/yr
- Washington median$132–225K/yr100 salary ranges
- US median$124–210K/yr2,344 salary ranges
This range's midpoint, $133K, is 25% below the Washington median midpoint ($178K) — in the lowest quarter of Data Engineering salary ranges in Washington.
- Openings
- Olive Jobs lists 112 open Data Engineering jobs in Washington and 2,902 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- Data Engineering postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 4 to 8 years (2,529 postings).
- Education
- 1,060 of the 2,902 open Data Engineering jobs (37%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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