Build and maintain scalable data pipelines, analytical data models, backend data systems, business rules, metrics, and data sources. Partner with teams across finance, growth, product, customer support, sales, and marketing to support analytical needs and improve data-driven decision-making. Own data engineering problems end to end and help advance organizational data practices.
Analytics & Data Science | San Francisco, United States | Seattle, United States | Mountain View, United States or Remote
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.
Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable world-class data engineering practices, drive the approach with which we use data, develop backend systems and data models to serve the analytical needs and play an active role in building Atlassian's data-driven culture.
Data is a BIG deal at Atlassian. We ingest billions of events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide.
The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, and marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work.
As a Data Engineer, you will apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
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.
Atlassian is looking for a Data Engineer to join our Data Engineering team and build world-class data solutions and applications that power crucial decisions throughout the organization. We are looking for an open-minded, structured thinker who is passionate about building systems at scale. You will enable world-class data engineering practices, drive the approach with which we use data, develop backend systems and data models to serve the analytical needs and play an active role in building Atlassian's data-driven culture.
Data is a BIG deal at Atlassian. We ingest billions of events each month into our analytics platform and we have dozens of teams across the company driving their decisions and guiding their operations based on the data and services we provide.
The data engineering team manages several data models and data pipelines across Atlassian, including finance, growth, product analysis, customer support, sales, and marketing. You'll join a team that is smart and very direct. We ask hard questions and challenge each other to constantly improve our work.
As a Data Engineer, you will apply your technical expertise to build analytical data models that support a broad range of analytical requirements across the company. You will work with extended teams to evolve solutions as business processes and requirements change. You'll own problems end-to-end and on an ongoing basis, you'll improve the data by adding new sources, coding business rules, and producing new metrics that support the business.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Atlassian Boston, Massachusetts, USA Office
55 Causeway St, Boston, Massachusetts , United States, 02114
Atlassian Boston, Massachusetts, USA Office
Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.
Similar Jobs at Atlassian
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.
Top Skills:
Amazon RedshiftApache AirflowBatch ProcessingBitbucketCi/CdData LakesDatabricksDatabricks ApisDynamoDBGitMachine LearningMongoDBPostgresPythonScalaSparkSQLStreaming
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
The Account Executive will drive enterprise sales for financial services customers across the Americas. The role is remote and involves managing customer relationships and pursuing business opportunities. Specific responsibilities and qualifications are not provided in the available job description.
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develop and deploy scalable machine-learning solutions, particularly deep-learning forecasting models for company top-line metrics. Lead the full ML lifecycle from problem definition and experimentation through production deployment and improvement. Design production-grade architectures, evaluate and improve models, collaborate with cross-functional teams, explain technical concepts to varied audiences, and mentor junior engineers.
Top Skills:
Deep LearningMachine LearningMachine Learning Infrastructure
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
