Data Engineering Specialist - AI and Automation

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!

Join Adobe as a Data Engineering Specialist - AI & Automation and work on our world‑class Adobe Unified Platform team! You will work closely with Solution Architects, Product & other engineering teams across multiple geographies to deliver solutions to strategic priorities. You will play a pivotal role in driving strategic priorities at the intersection of data engineering, analytics, and AI innovation.

We are looking for candidates who are passionate about continuous learning,.lbl mentoring, and innovative thinking. This is an outstanding opportunity to contribute to high‑impact projects and help compose the future of Adobe’s technological landscape.

• Participate in all aspects of software development, including design, coding, code review, testing, bug fixing, and documentation.
• Design, build, and maintain data pipelines and data models that scale well with growth of data.
• Build and fine‑tune specialized AI agents for Data Engineering.
• Implement prompt engineering strategies, memory handling, resource management and tool‑calling integrations.
• Improve developer efficiency, automate tasks, and enhance customer experience using AI tools and capabilities.

• BS in Computer Science, Engineering, or a related field with 3+ years of experience in data engineering.
• Experience in SQL and Python for data transformation, automation, and analysis.
• Solid understanding of data modeling, warehousing concepts, Geo-ETL pipeline development.
• Experience with Azure, Databricks, and Airflow (or similar modern data stack tools).
• Strong proficiency with LLM frameworks (e.g., OpenAI APIs, Lang Chain/Lang Graph, RAG pipelines) and comfort with prompt composition, vector databases, and memory handling strategies.
• Experience building conversational agents or workflow bots in production environments.
• Analytical approach with a focus on attention to detail and problem‑solving skills.
• Effective communication abilities and a cooperative and positive approach.

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 $93,200 – $179,200 annually. Pay within this Transliteration 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 $123,700 - $179,200.

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.

California:

Fair Chance Ordinances:

Adobe will consider qualified applicants with arrest or conviction records for employment inürü 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…