Note: The job is a remote job and is open to candidates in USA. Atlassian, including its DX business, helps engineering leaders build high-performing, productive teams through software and data-driven insights. The Senior Data Engineer will own and maintain data pipelines, develop analytical data models, ensure data quality, support research and cross-functional data requests, and document data infrastructure for self-service use.
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
- * 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
- * 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
Benefits
- This role may also be eligible for benefits, bonuses, commissions, and equity.
- Health and wellbeing resources
- Paid volunteer days
Company Overview
Company H1B Sponsorship