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Data Engineer



Software Engineering, Data Science
San Francisco, CA, USA · Remote
Posted on Friday, June 14, 2024

Data Engineer

Analytics & Data Science | San Francisco, United States | Remote, Remote | Full-Time

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Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Your future team

You will be part of a world-class Data Engineering team, where you will:

  • influence product teams

  • inform Data Science and Analytics Platform teams

  • partner closely with data consumers and producers to ensure quality and usefulness of data assets

You will be involved in strategizing measurement, collecting data, and generating insights.

This work will help understand and improve product experience and engagement, optimize efficiency and costs, and drive strategy.


At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $140,100 - $186,800

Zone B: $126,100 - $168,100

Zone C: $116,300 - $155,000

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit 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.

Data Engineering is a multi-faceted role, where you can have focused or broad set of responsibilities, including:

  • Defining metrics

  • Instrumenting logging

  • Acquiring/ingesting data

  • Architecting & modeling data

  • Transforming data

  • Ensuring data quality, governance, and enablement

  • Alerting, visualization, and reporting

  • Developing at scale and improving efficiency

  • Working autonomously and adding perspective to the team

Minimum Qualifications

  • Bachelor’s / Masters degree (or equivalent work experience) in a STEM field

  • 2+ Years of Experience in Data Engineering or related fields

  • Expertise in Python or other modern programming language development experience

  • Knowledge of advanced level capabilities in SQL and relational databases experience

  • Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding

  • Experience working with product analytics

Additional/Desirable Qualifications

  • 4+ Years of Experience in Data Engineering or related fields OR 2+ Years of experience in Data Engineering along with a post-graduate degree or equivalent in a related field

  • An understanding of the SaaS business model and data structures

  • Experience in Enterprise Software product development