Data Science Engineer

Adobe

Quick summary

Work type
On-site
Location
San Jose
Salary
$138,600–$200,700 / yr
Posted
3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k
This role $170k
$87k most similar roles pay here $213k

This role pays more than 68% of similar roles. Most pay $126,800–$181,900 — the shaded band above. At the midpoint, this role pays about $170k versus about $154k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 325 open roles on FindRole.

Listed pay typically runs $183,300–$265,350 across 325 roles with salary data.

Most-posted roles

View all roles at Adobe

At a glance

TL;DR · Data Science Engineer

Join Adobe’s Data Engineering team as a senior data engineer driving large-scale data science initiatives. You will build fault-tolerant, scalable data pipelines using cloud-based tools and develop analytical capabilities with modern technologies like AEP, AJO, and CJA. Additionally, you’ll create LLM agents to optimize data pipelines and deliver end-to-end machine learning models in production. This role requires expertise in distributed data technologies such as Hadoop, Spark, and familiarity with cloud platforms including Databricks, AWS EMR, and Azure Blob Storage. You must have strong SQL skills, experience with Python/PySpark, and proficiency in CI/CD tools like GitHub and Jenkins. Ideal candidates will also contribute to open-source projects and possess knowledge of Adobe’s Experience Platform and other analytics solutions.

What you'll do

  • Build fault tolerant, scalable data pipelines using cloud-based tools.
  • Develop analytical and personalization capabilities with modern technologies like AEP and CJA.
  • Create LLM agents to optimize and automate data pipelines following best practices.
  • Deliver end-to-end data pipelines for running machine learning models in production.
  • Architect frameworks for data ingestion, transformation, consumption, and governance.

What we're looking for

  • 8+ years of experience as a data engineer.
  • Proficient in distributed data technologies like Hadoop, Hive, Spark.
  • Expertise with cloud-based tools such as Databricks, AWS EMR, Azure Blob Storage.
  • Experience with streaming data ingestion and transformation using Kafka/Kinesis.
  • Strong SQL skills and ability to write optimized queries across platforms.
  • Hands-on experience with Python/PySpark/Scala for data manipulation and transfer.
  • Familiarity with CI/CD tools like GitHub and open-source orchestration tools.

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