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Data Engineer

Pay
Multiple pay statements — pay source
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: $143,100 - $186,825 Zone B: $128,790 - $168,143
Zone A: $143,100 - $186,825 Zone B: $128,790 - $168,143 Zone C: $118,773 - $155,065
Zone B: $128,790 - $168,143 Zone C: $118,773 - $155,065 Qualifications
Read the full posting
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting
  • Build analytical data models for company-wide reporting needs

  • Own data problems end-to-end and keep improving the data

  • Add new data sources and code business rules into pipelines

  • Develop backend systems and data models for analytical needs

  • Work with extended teams to evolve solutions as requirements change

From the employer’s posting
build analytical data models that support a broad range of analytical requirements across the company
You'll own problems end-to-end and on an ongoing basis
improve the data by adding new sources, coding business rules, and producing new metrics
develop backend systems and data models to serve the analytical needs
You will work with extended teams to evolve solutions as business processes and requirements change

What you’ll bring

All qualifications

Core experience

  • 4+ years of data engineering experience
  • BS/BA in Computer Science, Engineering, Information Management, or related technical field
  • Strong programming skills in Python or Java
  • Working knowledge of relational databases and SQL
  • Experience building scalable pipelines with Spark (SparkSQL) and Airflow

Preferred experience

  • Experience with Databricks and Tableau reporting tools
Qualification wording
4+ years of data engineering experience
BS/BA in Computer Science, Engineering, Information Management, or other technical fields
Strong programming skills using Python or Java.
Working knowledge of relational databases and query authoring via SQL.
Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.
Experience with reporting tools like Databricks and Tableau

Benefits in the posting

Full benefits wording
  • 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.

From the employer’s posting.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team.

In the employer’s words · Read in context

Apply at Atlassian

Posting record

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Status in our records
Live
First seen by us
Oct 15, 202622 days ago
Recorded sightings
47
Last seen by us
Nov 6, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,163 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 22

Similar jobs usually come down between day 6 and day 54.

At Atlassian, jobs usually come down by about day 25.

From 11,423 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.

Atlassian is hiring

48 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is steady
  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • Databricks
  • Spark
  • Tableau
  • Airflow
Where the posting names them
- BS/BA in Computer Science, Engineering, Information Management, or other technical fields and 4+ years of data engineering experience - Strong programming skills using Python or Java. - Working knowledge of relational databases and query authoring via SQL.
- Strong programming skills using Python or Java. - Working knowledge of relational databases and query authoring via SQL. - Experience designing data models for optimal storage and retrieval to meet product and business requirements.
- Strong ability to partner directly with cross-functional stakeholders (Product, Analytics, Finance, Operations) to translate complex business questions into data-driven insights. - Experience with reporting tools like Databricks and Tableau with a keen eye for visual clarity, data storytelling, and user experience. Benefits & Perks
- Experience designing data models for optimal storage and retrieval to meet product and business requirements. - Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools. - Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.

Your next step

Complete your application on careers-americas.icims.com. The employer’s form will show what is required.

Applying through iCIMS

  • You start with your email. New applicants then create a login, and returning ones sign in.
  • Upload your resume before you fill anything in: iCIMS fills some profile fields from it.
  • Check your status on the employer’s iCIMS Dashboard, under Past Job Submittals.

Already applied? Track this application

Has Atlassian posted this job before?

Yes. We’ve followed one other Data Engineer job there since October 2026. It is still up.

  1. BengaluruStill up after 23 days, first seen Oct 15
  2. This jobUp 23 days so far, first seen Oct 15

About Atlassian

People
About 13,301 in 2026, down 4% from the year before.Annual report (SEC Form 10-K)
Company
Listed as TEAM.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,082.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Overview

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

Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable world-class data engineering practices, drive the approach with which we use data, develop backend systems and data models to serve the analytical needs and play an active role in building Atlassian’s data-driven culture.

Data is a BIG deal at Atlassian. We ingest billions of events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide.

The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, and marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work.

As a Data Engineer, you will apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

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.

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

Pay Ranges

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: $143,100 - $186,825

Zone B: $128,790 - $168,143

Zone C: $118,773 - $155,065

Qualifications

  • BS/BA in Computer Science, Engineering, Information Management, or other technical fields and 4+ years of data engineering experience

  • Strong programming skills using Python or Java.

  • Working knowledge of relational databases and query authoring via SQL.

  • Experience designing data models for optimal storage and retrieval to meet product and business requirements.

  • Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.

  • Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.

  • Strong ability to partner directly with cross-functional stakeholders (Product, Analytics, Finance, Operations) to translate complex business questions into data-driven insights.

  • Experience with reporting tools like Databricks and Tableau with a keen eye for visual clarity, data storytelling, and user experience.

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Source details

View original posting ↗

Source notes

Source excerpts

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Pay
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: $143,100 - $186,825 Zone B: $128,790 - $168,143
More source context
Zone A: $143,100 - $186,825 Zone B: $128,790 - $168,143 Zone C: $118,773 - $155,065

More relevant text appears in the full description.

Location & working pattern

San Francisco, CA

Working pattern and location restrictions need checking in the full posting.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

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