Data Science Engineer

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 and technologies. What you will do

• Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools.
• Build analytical, personalization capabilities using modern and brand new technologies employing Adobe tools like AEP, AJO and CJA.
• Build LLM agents to optimize and automate data pipelines following best engineering practices.
• Deliver End to End Data Pipelines to run Machine Learning Models in a production platform.
• Innovative solutions to help broader organization take significant actions fast and efficiently.
• Chip in to data engineering and data science frameworks, tools, and processes.
• Implement outstanding data operations and implement standard methodologies to use resources in an optimum way.
• Architect data ingestion, data transformation, data consumption, data governance frameworks.
• Help build production grade ML models and integration with operational systems.
• Work in a collaborative environment and contribute to the team as well as organization’s success.

• Master’s degree or equivalent experience is preferred.
• 8+ years of consistent track record as a data engineer.
• 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc.
• 3+ years of experience with Cloud based technologies - Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc.
• 2+ years’ experience with streaming data ingestion and transformation using Kafka, Kinesis etc.
• Outstanding SQL experience. Ability to write optimized SQLs across platforms.
• Proven hands - on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data.
• Experience with CI/CD tools i.e., GitHub, Jenkins etc.
• Working experience with Open- source orchestration tools i.e., Apache Air Flow/ Azkaban etc.
• Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily.

Nice to have

• Showcase your work if you are an open - source contributor. Passion to contribute to Open-source community is highly valued.
• Experience with Data Governance tools e.g., Collibra and Collaboration tools e.g., JIRA/ Confluence etc.
• Familiarity with Adobe solutions such as Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, and Adobe Journey Optimizer is a plus.
• Experience with LLM Models/ Agentic workflows using Copilot, Claude, LLAMA, Databricks Genie etc. is highly preferred. Skills in building context and prompt engineering solutions including classical RAG, Knowledge graph, MCPs, Agentic frameworks like n8n, etc. are highly desirable., Adobe Acrobat, Adobe Product Family, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Analysis Skills, Apache, Apache Hadoop, Apache Hive, Apache Spark, Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Best Practices, Cloud Computing, Communication Skills, Compensation and Benefits, Continuous Deployment/Delivery, Continuous Integration, Cross-Functional, Customer Experience, Customer Relations, Data Analysis, Data Management, Data Science, Electronic Medical Records, GitHub, Global Branding, Jenkins, Machine Learning, Microsoft Windows Azure, Multiplatform/Cross-Platform, Open Source, Python Programming/Scripting Language, SQL (Structured Query Language), Scala Programming Language, Team Player, Writing Skills

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 $109,000 – $200,700 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 $138,600 - $200,700

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.

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 build and deliver outstanding digital experiences! We’re passionate about empowering people to build 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. We are committed to crafting outstanding employee experiences where everyone is respected and has 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 Challenge

Apply your expertise in data engineering to drive the next stage of growth at Adobe. The AUP team is passionate about delivering optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects., 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., 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., Adobe is the global leader in digital marketing and digital media solutions. Our tools and services enable our customers to create groundbreaking digital content, deploy it across media and devices, measure and optimize it over time, and achieve greater business success. We help our customers make, manage, measure and monetize their digital content across every channel and screen.

Digital media

Adobe helps creative professionals, publishers, developers, and businesses create, publish, promote, and monetize their content anywhere. Digital marketing

Our digital marketing solutions combine content and data, personalization, experience management, and social capabilities so businesses can move faster from data to insights to action.

Company Size: 10,000 employees or more