Atlassian

Senior Data Engineer, DX

Salt Lake City, UT, US$138,942-$218,550Posted 27 days ago

Job Description

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.

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

Responsibilities: 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

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