Senior Data Engineer - Atlassian
San Francisco, CA
About the Job
Overview
Our Data Engineering Team is comprised of data experts
We build world-class data solutions and applications that power crucial business decisions throughout the organisation
We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on
We maintain Atlassian’s data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them.We’re hiring a Senior Data Engineer, reporting to the Data Engineering Manager based in San Francisco
Here, you’ll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian’s data-driven culture
You love thinking about the ways the business can consume data and then figuring out how to build it.CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs
To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience
In the United States, we have three geographic pay zones
For this role, our current base pay ranges for new hires in each zone are:Zone A: $163,300 - $217,700Zone B: $147,000 - $196,000Zone C: $135,600 - $180,700This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones
However, please confirm the zone for your specific location with your recruiter.
Responsibilities
You’ll partner with the data analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions.You’ll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements.You’ll add new sources, code business rules, and produce new metrics that support the product analysts and data scientist.You’ll be the data domain expert who understand all the nitty-gritty of our products.You’ll own a problem end-to-end
Requirements could be vague, and iterations will be rapidYou’ll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.
Qualifications
BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar roleStrong programming skills using PythonWorking knowledge of relational databases and query authoring (SQL).Experience designing data models for optimal storage and retrieval to meet product and business requirements.Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.Well versed in modern software development practices (Agile, TDD, CICD)Job SummaryCategory: Analytics & Data Science
Our Data Engineering Team is comprised of data experts
We build world-class data solutions and applications that power crucial business decisions throughout the organisation
We manage multiple analytical data models and pipelines across Atlassian, covering finance, growth, product analysis, customer analysis, sales and marketing, and so on
We maintain Atlassian’s data lake that provide a unified way of analysing our customers, our products, our operations, and the interactions among them.We’re hiring a Senior Data Engineer, reporting to the Data Engineering Manager based in San Francisco
Here, you’ll enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights, and help build Atlassian’s data-driven culture
You love thinking about the ways the business can consume data and then figuring out how to build it.CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs
To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline
Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience
In the United States, we have three geographic pay zones
For this role, our current base pay ranges for new hires in each zone are:Zone A: $163,300 - $217,700Zone B: $147,000 - $196,000Zone C: $135,600 - $180,700This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones
However, please confirm the zone for your specific location with your recruiter.
Responsibilities
You’ll partner with the data analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions.You’ll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements.You’ll add new sources, code business rules, and produce new metrics that support the product analysts and data scientist.You’ll be the data domain expert who understand all the nitty-gritty of our products.You’ll own a problem end-to-end
Requirements could be vague, and iterations will be rapidYou’ll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues.
Qualifications
BS in Computer Science or equivalent experience with 8+ years as a Senior Data Engineer or similar roleStrong programming skills using PythonWorking knowledge of relational databases and query authoring (SQL).Experience designing data models for optimal storage and retrieval to meet product and business requirements.Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools.Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka).Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team.Well versed in modern software development practices (Agile, TDD, CICD)Job SummaryCategory: Analytics & Data Science
Source : Atlassian