Data Engineer Finance AI Solutions

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at TARGET AS A DATA ENGINEER FINANCE AI SOLUTIONS

About Us:

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.

Team Overview:
Finance Technology within Core Retail Services powers the financial backbone of Targets 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 5000 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.

Position Overview:
As a Data Engineer you will develop and maintain scalable data solutions that support Targets financial systems and enterprise reporting capabilities. Working as part of an agile engineering team youll build reliable data pipelines develop data services and help deliver high-quality data that enables business insights and operational excellence. Youll 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.

Key Responsibilities:

• 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.

About You:

• 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

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually depending upon what your role team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

In compliance with state and federal laws Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process please reach out to Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.