Senior Data Engineer — Lead Scalable Pipelines & Mentorship

Atlassian; United States; Hybrid; USD 120,000 - 200,000; Full time

Benefits offered by this job

Paid volunteer days

Health resources

Equity

Job summary

Atlassian seeks a seasoned Data Engineer to own end-to-end data solutions, mentor junior engineers, and drive scalable pipelines. You will partner with engineering teams to lead high-impact initiatives and shape data architecture for performance and reliability.

Ideal candidates have 6+ years in data engineering, strong Python/Scala and SQL skills, and hands-on experience with Spark, Airflow, Databricks, and modern databases. A flexible work setup is offered, with in-office or remote options.

Qualifications

• 6+ years of professional data engineering experience or similar.
• Experience building scalable data pipelines with Spark and Airflow.
• Proficiency in Python/Scala and SQL; experience with Databricks and modern databases.

Responsibilities

• Partner across engineering teams to lead high-impact, company-wide data initiatives.
• Mentor and upskill junior engineers to foster technical excellence.
• Design and architect scalable, high-performance data solutions and own the end-to-end data engineering lifecycle.

Skills

Python/Scala

SQL

Mentoring

Lifecycle ownership

Education

Bachelor's degree in Computer Science

Tools

Spark

Airflow

Databricks

Job description

Atlassian seeks a seasoned Data Engineer to own end-to-end data solutions, mentor junior engineers, and drive scalable pipelines. You will partner with engineering teams to lead high-impact initiatives and shape data architecture for performance and reliability.

Ideal candidates have 6+ years in data engineering, strong Python/Scala and SQL skills, and hands-on experience with Spark, Airflow, Databricks, and modern databases. A flexible work setup is offered, with in-office or remote options.