Senior Data Engineer, DX

Atlassian; Salt Lake City, Northern (UT, KY); On-site; USD 139,000 - 219,000; Full time

Benefits offered by this job

Health and wellbeing resources

Paid volunteer days

Job summary

Atlassian is hiring for a data analytics engineering role in Salt Lake City with remote flexibility. Build and maintain data pipelines, design scalable data models, and collaborate with researchers and engineers to deliver research-ready datasets.

You will ensure data quality, support ad hoc data pulls, and document pipelines for self-serve access. The role emphasizes ownership, reproducibility, and meaningful impact across product analytics.

Qualifications

• Strong SQL skills and ability to write complex queries for analytical workloads.
• Hands-on experience with PostgreSQL or similar relational databases and semi-structured data (JSONB).
• Experience building and maintaining ETL/ELT pipelines into analytics-ready formats.
• Comfort working with large, messy real-world datasets and data normalization.
• Strong documentation habits with schema docs, data dictionaries, and runbooks.
• Self-motivated and reliable with ability to meet recurring deadlines.
• Nice to have: SaaS product data, telemetry, or event-driven data; dev tooling data; exposure to survey/time-series/benchmarking.

Responsibilities

• 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

Skills

SQL

PostgreSQL

ETL pipelines

Data modeling

Data quality

Documentation

Self-motivated

Analytics

Tools

Git

GitHub

GitLab

Bitbucket

Job description

Analytics & Data Science | Salt Lake City, United States | Remote, Remote |

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 rapidly—tripling 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 can’t 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 you’ll 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 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.

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

What we’re 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 world's largest software organizations

High ownership: You'll own the full data pipeline from raw product data to research-ready datasets.

Meaningful domain: You'll work at the intersection of developer experience, AI measurement, and engineering productivity, a space that's defining how the industry thinks about software development

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

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.

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.

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