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Senior 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: $167,400 - $218,550 Zone B: $150,660 - $196,695
Zone A: $167,400 - $218,550 Zone B: $150,660 - $196,695 Zone C: $138,942 - $181,397
Zone B: $150,660 - $196,695 Zone C: $138,942 - $181,397 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
  • Develop, launch, and optimize reliable ELT/ETL pipelines for large and specialized datasets

  • Design robust data models for fast storage, access, and downstream retrieval

  • Implement data quality frameworks for accuracy, freshness, and trust

  • Translate business data needs into technical requirements with stakeholders

  • Mentor and upskill junior engineers

From the employer’s posting
Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.
Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.
Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.
Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.
Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.

What you’ll bring

All qualifications

Core experience

  • Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
  • Experience building self-service tooling and platforms
  • Experience with Databricks and its APIs.
  • Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
  • Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
  • Experience working with large-scale, high-performance data processing systems (batch and streaming)
Qualification wording
Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.
Experience building self-service tooling and platforms
Experience with Databricks and its APIs.
Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
Experience working with large-scale, high-performance data processing systems (batch and streaming)

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 3, 202634 days ago
Recorded sightings
83
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 34

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

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

From 11,372 similar postings that came down, and 26 of Atlassian’s. Coming down is not always a hire.

Atlassian is hiring

49 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.

  • Python
  • Scala
  • SQL
  • Databricks
  • Redshift
  • Spark
  • Airflow
  • PostgreSQL
Where the posting names them
- Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes. - Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills. - Champion automated builds and deployments using CICD tools like Bitbucket, Git
- Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools. - Experience with Databricks and its APIs. - Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.
- Experience with Databricks and its APIs. - Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes. - Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.
- A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role - Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools. - Experience with Databricks and its APIs.

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

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

Responsibilities

Our Product DE organization is looking for a Senior Data Engineer reporting to the Senior Data Engineering Manager. You will be responsible for designing premier data architecture and solutions that drive strategic decision-making. Beyond technical execution, you will collaborate with business stakeholders to translate operational needs into technical requirements and spearhead initiatives to improve overall system efficiency.

In this role, you will:

  • Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives,

  • Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth.

  • Collaborate with leadership, product engineers, program managers, and data scientists to deeply understand and prioritize business data requirements.

  • Leverage deep technical expertise to design and architect scalable, high-performance data solutions.

  • Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.

  • Intelligently design robust data models optimized for high-speed storage, accessibility, and downstream retrieval.

  • Implement and deploy rigorous data quality frameworks to guarantee data accuracy, freshness, and trust.

  • Maintain full technical ownership of the end-to-end data engineering lifecycle for your team's solutions.

  • Participate in the team’s on-call rotation to ensure platform stability and support operational health.

  • Partner with software engineering teams to design and build next-generation data systems that enable rapid, self-service data consumption.

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: $167,400 - $218,550

Zone B: $150,660 - $196,695

Zone C: $138,942 - $181,397

Qualifications

Qualifications

  • A BE in Computer Science or equivalent with 6+ years of professional experience as a Data Engineer or in a similar role

  • Experience building scalable data pipelines in Spark using Airflow scheduler/executor framework or similar scheduling tools.

  • Experience with Databricks and its APIs.

  • Experience with modern databases (Redshift, Dynamo DB, Mongo DB, Postgres or similar) and data lakes.

  • Proficient in one or more programming languages such as Python/Scala and rock-solid SQL skills.

  • Champion automated builds and deployments using CICD tools like Bitbucket, Git

  • Experience working with large-scale, high-performance data processing systems (batch and streaming)

  • Experience working for SAAS companies

  • Experience with Machine Learning

  • Committed code to open source projects

  • Experience building self-service tooling and platforms

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 ↗

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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: $167,400 - $218,550 Zone B: $150,660 - $196,695
More source context
Zone A: $167,400 - $218,550 Zone B: $150,660 - $196,695 Zone C: $138,942 - $181,397

More relevant text appears in the full description.

Location & working pattern

Austin, TX

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

Work authorization

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