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!
Position Overview:
Are you ready to have fun with data? As a Data Engineer focused on cloud spend optimization at Adobe, you'll harness your data engineering and data science expertise to refine our cloud efficiency. Your role is crucial in transforming cloud utilization data into strategic insights, driving efficient and innovative resource management. Your impact will be significant, steering Adobe's cloud strategy towards operational excellence and fostering a culture of thoughtful, data-driven decision-making. Join us and be a pivotal player in shaping Adobe's future, ensuring our cloud investments are as intelligent and impactful as our technology.
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Key Responsibilities:
- Design, build, and maintain scalable and efficient data pipelines and architectures.
- Align systems with business goals and industry standard methodologies, ensuring data integrity and accessibility.
- Develop and implement algorithms, predictive models, and custom software solutions to support data analysis.
- Identify and execute on opportunities for data acquisition and new uses for existing data.
- Collaborate with architects, modelers, and engineering team members to meet project objectives.
- Ensure the cleanliness and utility of data provided to customers for analysis.
- Continually seek ways to improve data reliability, efficiency, and quality.
Qualifications:
- BS/MS in Computer Science, Engineering, or a related field with 5+ years of data engineering experience.
- Proficiency in programming languages such as Python, SQL, and R.
- Experience with AWS, DBT, and Airflow.
- Strong understanding of data modeling, warehousing, and building ETL pipelines.
- Analytical and problem-solving skills, with a meticulous approach.
- Effective interpersonal skills and the ability to collaborate across teams.
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 $124,000 -- $234,200 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.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.
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.