Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Responsibilities
As a Senior Data Engineer in the Corporate Data Engineering team, you will have the opportunity to apply your strong technical experience building highly reliable data products. You enjoy working in an agile environment. You are able to take vague requirements and transform them into solid solutions. You are motivated by solving challenging problems, where creativity is as crucial as your ability to write code and test cases.
On a typical day you will help our partner teams ingest data faster into our data lake, you’ll find ways to make our data products more efficient, or come up with ideas to help build self-serve data engineering within the company. Then you will build architect , design, and promote self serve capabilities at scale to help Atlassian grow.

Qualifications
On your first day, we'll expect you to have:

• At least 7+ years of professional experience as a software engineer or data engineer

• A BS in Computer Science or equivalent experience

• Strong programming skills (some combination of Python, Java, and Scala)

• Experience writing SQL, structuring data, and data storage practices

• Experience with data modeling

• Knowledge of data warehousing concepts

• Experienced building data pipelines and micro services

• Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data

• A willingness to accept failure, learn and try again

• An open mind to try solutions that may seem impossible at first

• Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)

It's preferred, but not technically required, that you have:

• Experience building self-service tooling and platforms

• Built and designed Kappa architecture platforms

• A passion for building and running continuous integration pipelines.

• Built pipelines using Databricks and well versed with their API’s

• Contributed to open source projects (Ex: Operators in Airflow)

Qualifications
On your first day, we'll expect you to have:

• At least 7+ years of professional experience as a software engineer or data engineer

• A BS in Computer Science or equivalent experience

• Strong programming skills (some combination of Python, Java, and Scala)

• Experience writing SQL, structuring data, and data storage practices

• Experience with data modeling

• Knowledge of data warehousing concepts

• Experienced building data pipelines and micro services

• Experience with Spark, Airflow and other streaming technologies to process incredible volumes of streaming data

• A willingness to accept failure, learn and try again

• An open mind to try solutions that may seem impossible at first

• Experience working on Amazon Web Services (in particular using EMR, Kinesis, RDS, S3, SQS and the like)

It's preferred, but not technically required, that you have:

• Experience building self-service tooling and platforms

• Built and designed Kappa architecture platforms

• A passion for building and running continuous integration pipelines.

• Built pipelines using Databricks and well versed with their API’s

• Contributed to open source projects (Ex: Operators in Airflow)

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $175,500 - $229,125

Zone B: $158,400 - $206,800

Zone C: $145,800 - $190,350

This role may also be eligible for benefits, bonuses, commissions, and equity.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.