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Data Engineer



Software Engineering, Data Science
San Francisco, CA, USA · Remote
Posted on Friday, June 14, 2024

Data Engineer

Analytics & Data Science | San Francisco, United States | Remote, Remote | Remote, Americas |

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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. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.Atlassian is looking for a Data Engineer to join our Data Engineering Team. You will build top-notch data solutions and applications that inspire important decisions across the organization. You will be reporting to the Senior Data Engineering Manager.

You'll have flexibility in where you work – whether in an office, from home (remote), or a combination of the two.

A typical day may involve collaborating with partners, you will design data models, acquisition processes, and applications to address needs. With experience in large-scale data processing systems (batch and streaming), you will lead business growth and enhance product experiences. And will collaborate with Technology Teams, Global Analytical Teams, and Data Scientists across programs.

You'll take ownership of problems from end-to-end: extracting/cleaning data, and understanding generating systems. Improving the quality of data by adding sources, coding rules, and producing metrics is crucial as requirements evolve. Agility and smart risk-taking are important qualities in this industry where digital innovation meets partner/customer needs over time.

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

  • BS in Computer Science or equivalent experience with 3+ years as a Data Engineer or a similar role

  • Programming skills in Python & Java (good to have)

  • Design data models for storage and retrieval to meet product and requirements

  • Build scalable data pipelines using Spark, Airflow, AWS data services (Redshift, Athena, EMR), Apache projects (Spark, Flink, Hive, and Kafka)

  • Familiar with modern software development practices (Agile, TDD, CICD) applied to data engineering

  • Enhance data quality through internal tools/frameworks detecting DQ issues. Working knowledge of relational databases and SQL query authoring

We'd be super excited if you have:

  • Followed a Kappa architecture with any of your previous deployments and domain knowledge of Financial and People System


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: $140,100 - $186,800

Zone B: $126,100 - $168,100

Zone C: $116,300 - $155,000

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

Please visit 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.


Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit to learn more.

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

To learn more about our culture and hiring process, visit