Senior Data Engineer (remote / Work From Home) Job in Atlassian

Working at Atlassian

At Atlassian, we believe in empowering our employees with the flexibility to choose where they work whether in the office, from home, or a hybrid combination of both. This approach gives Atlassians greater control over their work-life balance, family priorities, and personal goals. We are a distributed-first company, hiring people across the globe where we have legal entities, with virtual interviews and onboarding processes in place.

We are currently looking for a Senior Data Engineer to join our Go-To-Market Data Engineering (GTM-DE) team. This team is responsible for building and maintaining our data lake, ensuring our big data pipelines and services are optimized, and facilitating the movement of billions of messages each day. You'll work directly with business stakeholders, platform, and engineering teams to enable growth and retention strategies at Atlassian. We re looking for someone who is passionate about building scalable services and enjoys problem-solving in a fast-paced environment.

What You ll Do:

• Help stakeholder teams ingest data into our data lake more efficiently.
• Improve the performance of our data pipelines, ensuring scalability.
• Innovate to create self-serve data engineering capabilities within the company.
• Design and build micro-services that support large-scale data ingestion and processing.
• Architect and enable self-serve data engineering services to help scale Atlassian's growth.
• Work with a cloud-based AWS data lake, leveraging open-source tools like Spark and Airflow.
• Apply your technical skills to build reliable and scalable services to support a multi-petabyte data lake.
• Work collaboratively in a fast-paced environment where creativity is key to success.

What We Expect on Your First Day:

• A BS in Computer Science or equivalent professional experience.
• At least 5+ years of professional experience as a Sr. Software Engineer or Sr. Data Engineer.
• Strong proficiency in programming (preferably Python, Java, or Scala).
• Experience writing SQL, structuring data, and understanding data storage practices.
• Familiarity with data modeling and data warehousing concepts.
• Hands-on experience building data pipelines, platforms, microservices, and REST APIs.
• Familiarity with Spark, Hive, Airflow, and other streaming technologies to process large-scale streaming data.
• Experience working with Amazon Web Services (AWS), particularly EMR, Kinesis, RDS, S3, SQS, and similar services.
• Familiarity with Agile, TDD, and CI/CD development practices.
• A strong focus on data quality with experience using tools or frameworks to detect data issues and anomalies.
• A willingness to accept failure, learn from it, and continuously improve.
• Open-mindedness to explore unconventional solutions.

Preferred Experience:

• Experience building self-service tooling and platforms.
• Experience designing and implementing Kappa architecture platforms.
• Experience with Databricks, including using their APIs to build pipelines.
• Contributions to open-source projects, such as creating Airflow operators.

Perks & Benefits:

Atlassian offers a wide range of perks and benefits to support you, your family, and your engagement with the community. Our offerings include:

• Comprehensive health coverage.
• Paid volunteer days to give back to your community.
• Wellness resources to support your mental and physical health.
• And much more to help you thrive both personally and professionally.

This role offers you the opportunity to work on cutting-edge technologies, innovate at scale, and contribute to the overall growth and success of Atlassian. If you're passionate about data engineering, building scalable services, and working in a collaborative, fast-paced environment, we d love to hear from you!