Data Engineer - Finance Technology Solutions

The pay range is $75,400.00 - $.

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications.

In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family.

Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.

Find competitive benefits from financial and education to well-being and beyond at

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Finance Technology within Core Retail Services powers the financial backbone of Target's enterprise operations. We build and support platforms that enable critical business capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls. Our financial reporting platform brings these data domains together to deliver near real-time insights, enabling accurate financial reporting and faster, data-driven decision-making.

Join our global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers who are striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source technologies to build best-in-class solutions for our team members and guests.

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. You'll 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.

• 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
• Create and maintain data models, ETL workflows, and processing frameworks that support business requirements
• Apply established data governance, security, and quality standards throughout the development lifecycle
• Collaborate with engineers, product teams, and business stakeholders to understand requirements and deliver reliable data solutions
• Troubleshoot production issues, optimize data processing performance, and improve system reliability
• Participate in code reviews, testing, and continuous improvement initiatives to maintain engineering quality.
• Continuously learn and adopt new technologies, tools, and engineering best practices

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

• 4 year degree in Compute 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…