Sr Data Science Engineer

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!

Use your expertise in data engineering to build next generation analytical capabilities at Adobe. The Customer Analytics & GTM team is passionate about using the power of data to deliver 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 Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platforms with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires an ability to own projects, come up with innovative solutions, try new tools and technologies, and possess an entrepreneurial personality.

Come join us for a truly exciting career, best benefits, and outstanding work-life balance!

• Build fault-tolerant, scalable, quality data pipelines using multiple cloud-based tools.
• Develop analytical and personalization capabilities using modern and powerful technologies by bringing to bear Adobe tools.
• Build LLM agents to optimize and automate data pipelines following the best engineering practices.
• Deliver End to End Data Pipelines to run Machine Learning Models in a production platform.
• Provide innovative solutions to help the organization take significant actions fast and efficiently.
• Contribute to data engineering and data science frameworks, tools, and processes.
• Implement exceptional data operations and standard methodologies to efficiently use resources.
• Architect data ingestion, data transformation, data consumption, and data governance frameworks.
• Help build production-grade ML models and integrate with operational systems.
• Collaborate extensively with global multi-functional operations teams to onboard customers to use genuine software.
• Work in a collaborative environment and contribute to the team as well as the organization's success.

• Bachelor's degree in computer science or equivalent. Preference given to candidates with a graduate degree or equivalent experience.
• 8+ years of consistent track record as a data engineer.
• 3+ years of experience with mobile data, App Store Optimization (ASO), and building data pipelines for in-app purchases, paywall impressions, tracking, and app crashes.
• 5+ years of experience with distributed data technologies such as Hadoop, Hive, Presto, and Spark.
• 3+ years of experience with cloud-based technologies like Databricks, S3, Azure Blob Storage, AWS EMR, Athena, and Glue.
• 2+ years of experience with streaming data ingestion and transformation using Kafka, Kinesis, etc.
• Outstanding SQL experience and 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.
• Experience crafting large-scale distributed data platforms.
• Experience with CI/CD tools such as GitHub and Jenkins.
• Working experience with open-source orchestration tools like Apache Airflow or Azkaban.
• Excellent communication and teamwork skills.
• Hands-on experience with Elastic Stack (Elastic, Logstash, Kibana) and graph databases (neo4j, Neptune, etc.) is highly desired.
• Experience with ML algorithms and frameworks like Keras, TensorFlow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, MLflow, etc.

• Showcase your work if you are an open-source contributor. Passion for contributing to the open-source community is highly valued.
• Experience with data governance tools like Collibra and collaboration tools like JIRA/Confluence.
• Familiarity with Adobe tools like 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.

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.

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