Data Engineer, Atlassian

Data Engineer

Atlassian

Location:

United States, San Francisco

Category:

IT - Software Development

Contract Type:

Not provided

Salary:

Not provided

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Job Description:

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. 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. 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.

Job Responsibility:

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
play an active role in building Atlassian’s data-driven culture
apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company
work with extended teams to evolve solutions as business processes and requirements change
own problems end-to-end
improve the data by adding new sources, coding business rules, and producing new metrics that support the business

Requirements:

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)

What we offer:

health coverage
paid volunteer days
wellness resources

Additional Information:

Job Posted:

March 19, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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