Senior Data Engineer, DX

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.

DX is headquartered in Salt Lake City Utah and is one of the fastest-growing SaaS companies globally. We help engineering leaders build high-performing productive teams. DX collects millions of data points daily powering insights into developer productivity and experience at companies like Pinterest GitHub BNY Xero and many more.

Our business has scaled profitably and grown rapidlytripling annual recurring revenue in the last several years.

DX recently closed on its acquisition by Atlassian. By joining Atlassian we will expand our resources accelerate growth and R&D and ultimately deliver greater impact to our customers.

What we value at DX

Companies have all kinds of culture slides. At DX we want to be very clear about what we care about and how we judge performance. For us it all boils down to individual mastery becoming the best at your craft. Those who exhibit this quality will thrive here and be unduly rewarded. We cant control outcomes due to competitors the economy decision-makers etc. but what we can control is doing our jobs at the highest level possible

What youll do

• Build and maintain data pipelines that extract transform and load live product data into research-ready formats (Postgres data lake or analytics warehouse)

• Design and optimize data models tailored to the recurring analyses behind our AI Impact Reports DX Core 4 benchmarks and industry-facing publications

• Collaborate closely with the research and engineering teams to understand analytical requirements and translate them into scalable reproducible data infrastructure

• Ensure data quality and consistency: you care about definitions edge cases and making sure the same question gets the same answer every time

• Support ad hoc data pulls for time-sensitive research and cross-functional requests from Sales Customer Success and product teams

• Document everything - schemas transformation logic data dictionaries and pipeline dependencies so that analysts and researchers can self-serve confidently

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

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.

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

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: $167400 - $218550

Zone B: $150660 - $196695

Zone C: $138942 - $181397

What were looking for

• Strong SQL skills: you can write complex queries optimize performance and model data for analytical workloads

• Hands-on experience with Postgres or similar relational databases including working with semi-structured data (JSONB nested fields)

• Experience building and maintaining ETL/ELT pipelines that move data from production systems into analytics-ready formats

• Comfort working with large messy real-world datasets: you know how to clean normalize and validate data at scale

• Strong documentation habits: you write clear schema docs data dictionaries and pipeline runbooks without being asked

• Self-motivated and reliable: you can manage recurring deadlines (e.g. quarterly reporting cycles) with minimal oversight

Nice to have:

• Experience working with SaaS product data telemetry or event-driven data

• Familiarity with developer tooling data: Git/GitHub/GitLab/Bitbucket activity CI/CD pipeline metrics Jira issue data

• Exposure to survey data time-series analysis or benchmarking methodologies

Why this role

• High visibility: The data you shape will underpin reports cited by engineering leaders at the worlds largest software organizations

• High ownership: Youll own the full data pipeline from raw product data to research-ready datasets.

• Meaningful domain: Youll work at the intersection of developer experience AI measurement and engineering productivity a space thats defining how the industry thinks about software development

• Research-backed environment: Our team includes the researchers behind the DORA SPACE and DevEx frameworks. Youll be building the data infrastructure that makes their work possible

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 Atlassian

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