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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 Sydney. 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 - $180,700 This 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 product 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 scientists.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
A BS in Computer Science or equivalent experience with 5 years of professional experience as a Sr. Data Engineer or in a similar role.Strong 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
Full Time
$110k-138k (estimate)
05/06/2024
05/19/2024
MOUNTAIN VIEW, CA
3,000 - 7,500
2018
MICHAEL LEE
$5M - $10M
The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Senior Data Engineer job description and responsibilities
The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.
03/09/2022: Billings, MT
The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
01/05/2022: Melbourne, FL
Create architecture for real-time, big data applications with minimal maintenance effort.
03/23/2022: Benton Harbor, MI
Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.
01/22/2022: Greenville, MS
Provides successful deployment and provisioning of data solutions to production or other required environments.
01/12/2022: Dothan, AL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Senior Data Engineer jobs
Apply for an entry-level data engineer role and gain experience.
02/06/2022: Providence, RI
Earn a bachelor’s degree related to data engineering and begin working on projects.
02/16/2022: Denver, CO
Consider pursuing additional professional engineering or big data certifications.
03/06/2022: Raleigh, NC
Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.
01/24/2022: Abilene, TX
Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.
01/02/2022: New York, NY
Step 3: View the best colleges and universities for Senior Data Engineer.