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# Data Science Engineer

- **Company:** Adobe Inc.
- **Location:** Lehi, UT, United States
- **Experience:** Experienced
- **Salary:** $109,000.0 - $200,700.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Business Analytics Applications, Microsoft Azure, Bash Shell, Data Cleansing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Linux, Apache Hive, Python (Programming Language), Power BI, Software Engineering, SQL Databases, Tableau (Software), Web Application Frameworks, Cloud Platform System, Delivery Pipeline, Apache Spark, Adobe, Kubernetes, Information Technology, Low Latency, Data Pipelines, Jenkins, Databricks
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7c97b89e39037ee8

## About the Role

Bachelor's Degree required, Preferred in Computer Science or relevant experience
3+ Years Experience with BS
Experience with Python or equivalent
Experienced in developing data pipelines using Python, SQL, and Bash on Linux.
Expertise working with Databricks, Spark SQL, Spark and DBFS systems.
Proficient in orchestration tools like Airflow or Databricks Workflows.
Experience deploying and managing services and applications on AWS and Azure Cloud platforms
Application design and architecture with a drive for delivering data with high throughput and low latency
Experience implementing and managing CI/CD pipelines using Jenkins or similar automation tools.
Committed to finding solutions to challenges and enjoy creative problem solving
Ability to solve problems collaboratively and build strong relationships
Experience delivering quality process and outcomes
Process oriented with strong attention to detail.
Proficiency in managing and orchestrating containers using Kubernetes.

## Description

The Data Science Engineer will have a significant impact on driving our organization's digital evolution by collaborating with various teams at Adobe. You will collaborate closely with product, analytics, and engineering teams to build, construct, and enhance scalable data pipelines and analytic solutions that generate insights into product usage. This position is highly data engineering oriented, focusing on the collection, integration, and transformation of large and varied data sets from multiple platforms to support business intelligence, product development, and strategic decision-making. What you'll Do
You will be responsible for developing and maintaining analytics infrastructure, including ETL pipelines and automated data quality tools. The ideal candidate will have a strong background in modern frameworks, cloud platforms, data technologies, SQL, Python, and visualization tools including Power BI or Tableau. In addition, you will apply strong communication skills and a customer-focused attitude to deliver effective solutions.
Your key tasks will be collaborating with multi-functional teams to develop and refine adaptable data pipelines and analytical solutions. You will build connectors to a variety of API sources, enabling the integration of diverse data sources, and apply cloud-based platforms to perform advanced analytics while upholding rigorous standards for data quality and security.
Projects will require you to actively contribute to planning, solution design, and deployment of analytic tools that drive and support business goals. Your efforts will ensure that the data infrastructure efficiently serves the evolving needs of the organization.
What you need to succeed


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