Multiple employees collaborating on work
Atlassian Logo

Atlassian

Data Engineer

Job Posted 9 Days Ago Posted 9 Days Ago
Remote
Hiring Remotely in San Francisco, CA
116K-187K Annually
Mid level
Remote
Hiring Remotely in San Francisco, CA
116K-187K Annually
Mid level
As a Data Engineer, you'll build data models and pipelines, optimize data storage and retrieval, and work collaboratively to enhance data-driven solutions.
The summary above was generated by AI

Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organisation. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable a world-class data engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
Working at Atlassian
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.
Data is a BIG deal at Atlassian. We ingest over 180 billion events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide.
The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, and marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work.
As a Data Engineer, you will apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business.

  • Bachelor's/Master's degree or equivalent in a STEM field with a minimum 2+ Years of Experience in Data Engineering or related field.
  • Expertise in Python or other modern programming languages.
  • Working knowledge of relational databases and query authoring via SQL.
  • Experience designing data models for optimal storage, retrieval and dashboarding to meet product and business requirements.
  • Experience building scalable data pipelines using Spark or Spark-SQL with Airflow scheduler/executor framework or similar scheduling tools.
  • Experience building real-time data pipelines using a micro-services architecture.
  • Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).
  • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.
  • Well-versed in modern software development practices (Agile, TDD, CICD).


Compensation
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 - $168,200
Zone C: $116,300 - $155,100
This role may also be eligible for benefits, bonuses, commissions, and equity.
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.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
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 .

Top Skills

Airflow
AWS
Python
Spark
Spark-Sql
SQL
HQ

Atlassian San Francisco, California, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

Atlassian Mountain View, California, USA Office

301 E Evelyn Ave., Mountain View, CA, United States, 94041

Similar Jobs at Atlassian

2 Days Ago
Remote
San Francisco, CA, USA
169K-271K Annually
Senior level
169K-271K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead Atlassian's Data Engineering Team in building scalable data solutions, ensuring operational data quality, architecting data systems, and mentoring engineers.
Top Skills: AirflowAWSDatabricksFlinkHiveKafkaRedshiftSparkSQL
6 Days Ago
Remote
San Francisco, CA, USA
169K-271K Annually
Senior level
169K-271K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
As a Principal Data Engineer, you'll lead data strategies, improve data architecture quality, mentor teammates, and enhance product insights through data analytics.
Top Skills: Data ArchitectureData GovernanceData ModelingData QualityEnterprise SoftwarePythonSQLStatistical Analysis
6 Days Ago
Remote
San Francisco, CA, USA
169K-271K Annually
Senior level
169K-271K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
This role involves influencing product teams, managing data architecture, ensuring quality and governance of data, mentoring teammates, and driving technical initiatives across the organization.
Top Skills: PythonRelational DatabasesSQL

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account