Senior Data Engineer - Remote Data Pipelines & Impact

Atlassian; Salt Lake City, Northern (UT, KY); Hybrid; 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

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.