In this role, you will plan, design, build, and maintain scalable data pipelines using Databricks, leverage real-time data processing with Apache Storm, orchestrate workflows with Astronomer. The Commerce Data Platform team is focused on using the power of data to deliver optimized experiences through personalization.
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 teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality
What you will do
- Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools.
- Work independently to design and delivering medium to complex functionality.
- Collaborate and Provide guidance to team members to build a scalable and high-performance solution with low operational overhead.
- Work with multi-functional team members to ensure a superb end-to-end user experience for our customers.
- Fast prototyping of ideas and concepts and researching the latest industry trends.
- Build features that make our products easier to use. We're constantly experimenting with how to improve our products to benefit our users, and you'll help track metrics and formulate ideas to improve and increase adoption.
- Perform analysis and experimentation for the data flowing through different systems/services
- Build a data consistency and validation feature in delivering high-quality data.
What you will need to success
Bachelor’s degree in computer science or equivalent. Master’s degree or equivalent experience is preferred.
Minimum of 5 years of experience in software engineering,
Motivated self-starter with the ability to learn and adapt quickly.
Track record of delivering software releases or projects on time with high quality.
Proficiency in Python for scripting, data processing, and pipeline development
Strong SQL experience for querying, cleansing, integrating, and summarizing complex data is essential
Experience with Databricks and Python is desirable
Proven experience of building, testing, evaluating, and improving revenue-generating data science models
Knowledge of propensity modeling techniques and other modeling techniques would be beneficial
Proven experience translating complex analytics into understandable insights for senior collaborators is essential
Strong problem-solving skills and experience in a fast-paced business environment with changing requirements
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
** Let’s Adobe together**
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity 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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
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 $139,000 -- $257,550 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.
In California, the pay range for this position is $177,900 - $257,550
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.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.