Atlassian
Senior Data Engineer
$139K–$219K
Remote, Americas +7 · Senior · Full-time · Posted Oct 28, 2026
- Location
- Remote, Americas
Remote, Remote
Austin, United States
Mountain View, United States or Remote
New York, United States
Seattle, United States
Washington DC, United States
San Francisco, United States - Experience
- 6+ years of professional experience as a Data Engineer or in a similar role.
- Education
- BE in Computer Science or equivalent.
About the job
Designs and operates scalable data architecture, pipelines, models, and quality systems to enable reliable, self-service data use and strategic decision-making.
What you'll do
- Design, develop, launch, and optimize scalable data solutions, including ELT/ETL pipelines and data models.
- Partner with stakeholders and engineering teams on data requirements and company-wide initiatives; mentor junior engineers.
- Own the end-to-end data engineering lifecycle, implement data quality frameworks, and participate in on-call support.
What they ask for
- BE in Computer Science or equivalent, with 6+ years of professional experience as a Data Engineer or in a similar role.
- Experience building scalable Spark data pipelines with Airflow or similar scheduling tools, and experience with Databricks and its APIs.
- Experience with modern databases and data lakes; proficiency in Python or Scala and strong SQL skills.
- Experience with large-scale batch and streaming data processing systems.
Nice to have
- Experience working for SAAS companies; experience with Machine Learning.
- Open-source contributions; experience building self-service tooling and platforms.
Pay
$167,400 - $218,550 USD base salary; $150,660 - $196,695 USD base salary; $138,942 - $181,397 USD base salary
Tools
Spark, Airflow, Databricks, Redshift, Dynamo DB, Mongo DB, Postgres, Python/Scala
Model-written summary · the original posting is authoritative