Senior Data Engineer

Atlassian
San Francisco
Workplace: RemoteFull timeUSD 228,467+ annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 3+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Data quality","Data governance","Analytics enablement"]

Own end-to-end delivery of scalable, well-governed data assets that power analytics, experimentation, and strategic decisions. Design and implement robust pipelines and ELT workflows, architect data models and schemas for analytics and product use cases, and enforce data quality, governance, and logging with validation and anomaly detection. Collaborate with product, engineering, analytics, and data science teams to define measurement strategies and enable product analytics and experimentation using modern data engineering practices.

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FursaFursa
Atlassian
Atlassian
1 day ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Own end-to-end delivery of scalable, well-governed data assets that power analytics, experimentation, and strategic decisions. Design and implement robust pipelines and ELT workflows, architect data models and schemas for analytics and product use cases, and enforce data quality, governance, and logging with validation and anomaly detection. Collaborate with product, engineering, analytics, and data science teams to define measurement strategies and enable product analytics and experimentation using modern data engineering practices.
Location: San Francisco
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own data problems end to end by delivering scalable, high-quality, well-governed data assets that support analytics, experimentation, and strategic decision-making.
  • •Design, build, and maintain robust end-to-end data pipelines and ELT/ELT workflows.
  • •Architect and implement data models and schemas for analytics, reporting, and product use cases.
  • •Implement and enforce data quality, governance, and logging standards using metrics, instrumentation, validation rules, and anomaly detection.
  • •Collaborate cross-functionally with product, engineering, analytics, and data science teams to define measurement strategies and enable product analytics and experimentation.

Pay and Benefits

Salary: USD 228,467 annually

Key Requirements

  • •Master’s degree (or foreign equivalent) in a relevant field plus three (3) years of related work experience, or a Bachelor’s degree plus five (5) years of progressive related experience.
  • •3+ years of experience with/inL.
  • •Strong understanding of data modeling, data warehousing, and analytical data design; ability to build data pipelines and microservices.
  • •Hands-on experience processing high-volume batch and streaming data using Spark or Airflow.
  • •Programming and data skills including Python, Java, and SQL, plus cloud data engineering experience with AWS services (e.g., S3, EMR, Kinesis, RDS, SQS).
Experience:3+ years
Education:Master's in Computer Science, Computer Engineering, Data Science, Statistics, IT, Electronic Engineering, or a related field
Skills:Cross-functional collaborationData qualityData governanceAnalytics enablement
Tech Stack:SparkAirflowAWSS3EMRKinesisRDSSQSFlinkHiveKafkaRedshiftAthenaPythonJavaSQLELTMicroservicesAgileTest-driven development

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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