This role pays less than
73%
of similar roles. Most pay
$126,800–$200,600
— the shaded band above.
At the midpoint, this role pays about
$130k
versus about
$164k
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
181 open roles
on FindRole.
Listed pay typically runs
$148,100–$265,350
across 181 roles with salary data.
As a Data Product Engineer on the Business Process Optimization team, you will function as a forward-deployed engineer embedded with Finance and CAO partners. You will translate complex business needs into production-grade data products, automated pipelines, and AI-enabled solutions. Your daily responsibilities include building reusable interfaces, developing RPA workflows, and creating LLM-powered tools while maintaining engineering ownership over automation platforms like SnapLogic, Power Automate, and PowerBuilder. To succeed, you must be proficient in SQL, Python, Spark, and Spark SQL within an Azure Databricks environment using medallion architecture. You will apply modern practices including Git-based source control, CI/CD, and automated testing to ensure data quality and governance. This role solves critical business problems by transforming ambiguous requirements into clean, automated solutions while ensuring compliance with SOX segregation-of-duties principles for internal business processes.
Python
Oracle SQL
Cassandra
Linux
Git
Data Pipelines
MLOps
Machine Learning
Data Architecture
SQL
NoSQL
Data Visualization
Business Intelligence
STDF
Software Engineering
Data Engineering