Data Engineer

Target is hiring a Data Engineer within Finance Technology to build and maintain scalable data solutions that support financial systems and enterprise reporting.

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 improve batch and real-time data processing solutions for analytical and operational workloads
• Develop APIs and data services to enable secure and efficient access to enterprise data
• Create 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 overall system reliability
• Participate in code reviews, testing, and continuous improvement efforts 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, 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 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; ability to work effectively with cross-functional teams

Technologies

• Spark
• Scala
• Java
• AWS
• GCP
• Azure
• PySpark
• Hadoop
• REST
• SQL

Team Overview

• Finance Technology within Core Retail Services powers the financial backbone of Target’s enterprise operations
• Builds and supports platforms for Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls
• Provides a financial reporting platform that brings together these data domains to deliver near real-time insights
• Uses agile practices and open-source technologies to deliver solutions for team members and guests

Position Overview

• Develop and maintain scalable data solutions for Target’s financial systems and enterprise reporting
• Join an agile engineering team to build reliable data pipelines and develop data services
• Work with engineers, product managers, data scientists, and business partners to deliver efficient, scalable, and maintainable data solutions
• Continue growing expertise in cloud technologies and distributed data processing

Hybrid / Flex Work Arrangement

• Core role must be performed both onsite at Target HQ in MN (where the role is assigned) and virtually, based on team and daily needs
• Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Location

• Brooklyn Park, MN (hybrid)

Compensation

• USD 75,400 - 135,700 per year

Benefits

• Comprehensive health benefits (medical, vision, dental, life insurance and more)
• 401(k)
• Employee discount
• Short term disability
• Long term disability
• Paid sick leave
• Paid national holidays
• Paid vacation

Americans with Disabilities Act (ADA)

• Target will make reasonable accommodations for applicants with disabilities
• If a reasonable accommodation is needed for the application or interview process, contact [email protected]