Data Engineer at Atlassian

Remote | Full-time

Data Engineer



Atlassian can hire people in any country where we have a legal entity, assuming candidates have eligible working rights and a sufficient timezone overlap with their team. As our offices re-open, Atlassians can choose to work remotely or return to an office, unless it’s necessary for the role to be performed in the office. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Are you passionate about data ecosystems and the ability to use data to drive actionable change? If so this role with our team at Atlassian is for you. As a Data Engineer on the Customers Success and Support team, you’ll be driving our business to scale via building and improving our data infrastructures and data pipeline.

Some examples of what you will be doing are:

  • Architect, build, launch, and manage data models to enable analytics
  • Design, build, improve, and manage data pipelines and ETL jobs
  • Create ETL scripts via SQL/HiveQL/SparkSQL
  • Automate data pipeline and reporting processes
  • Design, build, and manage data warehouse
  • Build data expertise and own data quality for the awesome pipelines you build

Some of the tools/languages/systems you’ll use are:

  • Hive, Spark, Postgres, Presto
  • Amazon EC2, EMR, S3
  • Python
  • Docker
  • SourceTree and Bitbucket
  • Linux Shell
  • Tableau

You’ll work together with other data engineers, analysts, project managers, and subject matter experts to deliver impactful outcomes to the organization. You’ll participate in multiple concurrent high-visibility projects along with ad-hoc questions from your internal customers.

We continually require modifications to the data pipeline for improvements in quality, speed, and features. In this role you’ll focus on building out the future state of our data pipeline. You’ll help design event collection infrastructure, build data models, and ETL processes to collect, extract, and clean the data for subsequent reporting and analysis. The target is making our data model more scalable, reliable, maintainable, and better integrated with other parts of our data ecosystem.

More about you

You’ve been in a data engineering role for 3+ years and have a BS degree in Engineering, Computer Science, or other technical discipline. You value high-quality work with attention to detail and have a track record of delivering both. You combine curiosity with critical thinking and good judgment, and like asking “why” to unravel a seemingly complex problem and get to the root cause. You know how to gather, document, and interpret business requirements.

You’re a wizard with SQL; better than anyone else you know. You’ve got practical experience working with large structured or unstructured datasets. You enjoy thinking about improvements to the ways in which data is consumed and then figuring out how to make it happen via reporting platforms and visualizations. You have a nearly insatiable desire to learn new concepts and technologies and apply them to your work.

When you encounter a problem you come up with multiple solutions, weigh the tradeoffs and efforts, identify the best path forward, and exercise good judgment to drive ahead. You’re comfortable interacting with people across all levels of an organization and can field questions during a presentation like a pro. You’re self-driven and find ways to be impactful.

You’re quick on your feet and take on challenges with ease. You can take an ambiguous assignment and derive valuable insight. You use multiple tools and methods to find solutions, and couple that with intuition and quick tests to prioritize how to unravel complicated problems.

More about our team

You’ll be joining a growing analytics and project delivery team located in multiple regions across the globe. We challenge each other constantly to improve our work and ask hard questions. We’re direct, focused, and demand excellence, but there’s laughter in every meeting because we thoroughly enjoy the work we do and the impact it has. We’re constantly growing, learning, adapting, and trying new things. BBQ, tacos, and coffee are a few of our favorite things.

More about our benefits

Whether you work in an office or a distributed team, Atlassian is highly collaborative and yes, fun! To support you at work (and play) we offer some fantastic perks: ample time off to relax and recharge, flexible working options, five paid volunteer days a year for your favourite cause, an annual allowance to support your learning & growth, unique ShipIt days, a company paid trip after five years and lots more.

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