Data Engineer – Finance AI Solutions

Role Overview

As a Data Engineer, you will develop and maintain scalable data solutions that support Target’s financial systems and enterprise reporting capabilities. You’ll work as part of an agile engineering team to build reliable data pipelines, develop data services, and deliver high-quality data that enables business insights and operational excellence.

What You Will Do

Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure). Build and enhance batch and real-time data processing solutions to support analytical and operational workloads. Develop APIs and data services that enable secure/efficient access to enterprise data.

Why It Might Be a Fit

You will collaborate closely with engineers, product managers, data scientists, and business partners to build efficient, scalable, and maintainable data solutions while continuing to grow your technical expertise in cloud technologies and distributed data processing.

Requirements

• 4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc. or equivalent industry experience
• 1plus year of software development experience with Big Data technologies such as Spark, Hadoop, or distributed data processing frameworks
• Programming experience with PySpark, Scala, Java, or Python
• Experience with cloud platforms (AWS, GCP, or Azure) and cloud-based data services
• Familiarity with data modeling, ETL development, and data pipeline design
• Exposure to API development using REST or similar technologies
• Experience with SQL and relational or distributed databases
• Understanding of data governance, security, and software development best practices
• Strong analytical and problem-solving skills
• Excellent communication and collaboration skills with the ability to work effectively on cross-functional teams

Benefits

• Comprehensive health benefits and programs
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation