Data Engineer - Finance AI Solutions

Hybrid/Flex for Your Day work style

Target operates a Hybrid/Flex for Your Day arrangement based on team and business needs. Your core role will be performed both onsite at the Target HQ in Minnesota and virtually, depending on what your role, team, and tasks require.

What you get

• Comprehensive health benefits (medical, vision, dental, life insurance and more)
• 401(k)
• Employee discount
• Short term disability and long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation
• Additional competitive benefits spanning financial, education, and well-being: https://corporate.target.com/careers/benefits
• To review benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Team and mission

Finance Technology within Core Retail Services supports the financial backbone of Target’s enterprise operations. The team builds and maintains platforms across domains including Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls.

Target’s financial reporting platform brings these domains together to deliver near real-time insights, enabling accurate financial reporting and faster, data-driven decision-making. You will join a global, in-house technology group of 5,000+ engineers, data scientists, architects, and product managers. The team uses agile practices and open-source technologies to build best-in-class solutions.

Responsibilities

• Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms such as AWS, GCP, or Azure
• Build and enhance batch and real-time data processing solutions for analytical and operational workloads
• Create APIs and data services to support secure and efficient access to enterprise data
• Design and maintain data models, ETL workflows, and processing frameworks aligned to 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

Requirements

• 4-year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, or similar fields, 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 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 for cross-functional teamwork

Core technologies

Spark, Scala, Java, AWS, GCP, Azure, PySpark, Python, Hadoop, REST, SQL

Position overview

In this role, you will develop and maintain scalable data solutions supporting Target’s financial systems and enterprise reporting capabilities. Working within an agile engineering team, you will build reliable data pipelines, develop data services, and help deliver high-quality data that supports near real-time insights.

Salary range

USD 75,400 - 135,700 per year

Equal opportunity and accommodations

Target is committed to complying with state and federal laws and will provide reasonable accommodations for applicants with disabilities. For accommodation requests related to the application or interview process, email [email protected].