Senior Data Engineer, DX

Atlassian
Salt Lake City
Workplace: HybridFull timeUSD 138,942 - 218,550 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Documentation","Reliability","Self-motivated","Data quality focus","Ownership"]

Build and maintain data pipelines that transform live product data into research-ready datasets. You’ll design and optimize data models for recurring AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications, partnering with research and engineering teams to translate analytical needs into scalable infrastructure. Ensure consistent data quality, support ad hoc research pulls, and document schemas, transformation logic, and pipeline dependencies so teams can self-serve confidently.

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FursaFursa
Atlassian
Atlassian
6 days ago

Senior Data Engineer, DX

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Build and maintain data pipelines that transform live product data into research-ready datasets. You’ll design and optimize data models for recurring AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications, partnering with research and engineering teams to translate analytical needs into scalable infrastructure. Ensure consistent data quality, support ad hoc research pulls, and document schemas, transformation logic, and pipeline dependencies so teams can self-serve confidently.
Location: Salt Lake City
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Build and maintain data pipelines that extract, transform, and load live product data into research-ready formats.
  • •Design and optimize data models for recurring analyses behind AI Impact Reports, DX Core 4 benchmarks, and industry-facing publications.
  • •Collaborate with research and engineering teams to translate analytical requirements into scalable, reproducible data infrastructure.
  • •Ensure data quality and consistency by managing definitions and edge cases so questions yield the same answers.
  • •Support ad hoc data pulls for time-sensitive research and cross-functional requests, and document schemas and pipeline dependencies.

Pay and Benefits

Salary: USD 138,942 - 218,550 annually
Equity and Bonus:Equity
Perks:Health InsurancePaid Leave

Key Requirements

  • •Write complex SQL queries, optimize performance, and model data for analytical workloads.
  • •Hands-on experience with Postgres (or similar relational databases), including work with semi-structured data such as JSONB and nested fields.
  • •Build and maintain ETL/ELT pipelines that move data into analytics-ready formats.
  • •Clean, normalize, and validate large, messy real-world datasets at scale.
  • •Create clear documentation including schema docs, data dictionaries, and pipeline runbooks.
Skills:DocumentationReliabilitySelf-motivatedData quality focusOwnership
Tech Stack:SQLPostgresJSONBETLELTData lakeAnalytics warehouseGitGitHubGitLabBitbucketCI/CDJiraDORASPACEDevExAI Impact ReportsDX Core 4

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
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