Data Engineer – Finance AI Solutions

The pay range for this role is $75,400.00 - $135,700.00 per year.

As a Data Engineer, you will develop and maintain scalable data solutions that support Target's financial systems and enterprise reporting capabilities.

Working as part of an agile engineering team, you'll build reliable data pipelines, develop data services, and help deliver high-quality data that enables business insights and operational excellence.

Your key responsibilities will include:

• Developing and maintaining scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure)
• Building and enhancing batch and real-time data processing solutions to support analytical and operational workloads
• Developing APIs and data services that enable secure and efficient access to enterprise data
• Creating and maintaining data models, ETL workflows, and processing frameworks that support business requirements
• Applying established data governance, security, and quality standards throughout the development lifecycle
• Collaborating with engineers, product teams, and business stakeholders to understand requirements and deliver reliable data solutions
• Troubleshooting production issues, optimizing data processing performance, and improving system reliability
• Participating in code reviews, testing, and continuous improvement initiatives to maintain engineering quality
• Continuously learning and adopting new technologies, tools, and engineering best practices

To be successful in this role, you'll need:

• A 4-year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc. or equivalent industry experience
• 1+ 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

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs.