Data Science Engineer

Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
The Opportunity
Apply your expertise in data engineering to drive the next stage of growth at Adobe. The Customer Analytics team is passionate about using the data analytics to deliver optimized experiences through personalization. This role will drive data engineering for large-scale machine learning initiatives across a wide variety of strategic projects.
As a member of the Data Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across subject areas. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and ambitious approach. What you'll Do
Build fault tolerant, scalable, quality data pipelines using cloud- based tools.
Innovative solutions to help broader organization take critical actions fast and efficiently.
Be a data steward. Develop deep organization wide data understanding.
Chip in to data engineering frameworks, tools, and processes
Implement discipline around data operations and implement standard processes to use resources in an optimum way.
Architect data ingestion, data transformation, data consumption, data governance frameworks.
Work in a collaborative environment and contribute to the team as well as organization’s success. What you need to succeed
Proven track record in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
Experience with Cloud based technologies – Databricks, AWS etc.
Outstanding SQL experience. Ability to write sophisticated SQLs across platforms.
Proven hands - on experience in Python/PySpark and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data.
Deep understanding of CI/CD tools i.e., GitHub, Jenkins etc.
Working experience with Open- source orchestration tools i.e., Apache Airflow/ Azkaban etc.
Teammate with excellent communication when it comes to closely working with data scientists and machine learning engineers daily.
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $107,900 -- $192,300 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.
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Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.