Senior Data Engineer, Atlassian

Atlassian

Location:
United States, San Francisco ▼
Seattle
Austin

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

135600.00 - 217800.00 USD / Year

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Job Description:

Atlassian is looking for a Senior Data Engineer to join our Ecosystem Data Engineering team which is responsible for building Source of Truth datasets for Atlassian. These data assets are used to make every day business decisions by Atlassian colleagues and help to create Forecast for the company. We work directly with the business stakeholders and engineering teams to enable growth and retention strategies at Atlassian. We are looking for an open-minded, structured thinker who is passionate about building foundation data assets that scale and serve Atlassian for the years to come.

Job Responsibility:

Help our stakeholder teams ingest data faster into our data lake
Find ways to make our data pipelines more efficient
Come up ideas to help instigate self-serve data engineering within the company
Build micro-services, architecting, designing, and enabling self serve capabilities at scale to help Atlassian grow

Requirements:

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies
A willingness to accept failure, learn and try again
An open mind to try solutions that may seem crazy at first
Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)

Nice to have:

Experience building self-service tooling and platforms
Built and designed Kappa architecture platforms
Built pipelines using Databricks and well versed with their API’s
Contributed to open source projects (Ex: Operators in Airflow)

What we offer:

Health coverage
Paid volunteer days
Wellness resources

Additional Information:

Job Posted:
April 23, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Senior Data Engineer