Data Science Engineer

Adobe

Data Science Engineer

San Jose, CA
Full Time
Paid
  • Responsibilities

    JOB LEVEL
    P30
    EMPLOYEE ROLE
    Individual Contributor

    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 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.

    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.

    What you will need

    • 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.

    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 positionis $109,000 -- $200,700 annually. Paywithin this range varies by work locationand 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.

    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.

    Internal Opportunities

    Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

    Put your best foot forward:

    1. Update your Resume/CV and Workday profile - don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

    2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

    3. Check out these tips to help you prep for interviews.

    4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll .

    Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

    At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

    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 .