Data Engineer

As part of Target’s Finance Technology organization within Core Retail Services, this Data Engineer role supports the financial backbone behind enterprise operations. You will help build and maintain scalable data pipelines and services that power near real-time financial reporting across multiple finance domains.

Working in an agile environment, you will design reliable data solutions for batch and real-time workloads, support secure access to enterprise data, and contribute to continuous improvement across the development lifecycle.

Role overview

• Develop and maintain scalable data solutions for Target’s financial systems and enterprise reporting capabilities
• Build reliable data pipelines, develop data services, and support high-quality data for business insights
• Collaborate with engineers, product teams, data scientists, and business stakeholders to deliver dependable data solutions
• Apply cloud and distributed data processing best practices while continuing to grow expertise in relevant technologies

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 for analytical and operational workloads
• Create APIs and data services that enable secure and efficient access to enterprise data
• Develop and maintain data models, ETL workflows, and processing frameworks aligned to business requirements
• Apply established data governance, security, and quality standards throughout development
• 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

Technologies

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

Requirements

• 4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc., or equivalent industry experience
• 1+ years of software development experience with Big Data technologies such as Spark, Hadoop, or other 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 for cross-functional teamwork

Hybrid work arrangement

• The role operates on a hybrid/flex schedule based on Target’s needs
• Core responsibilities must be performed both onsite at Target HQ in MN and virtually, depending on daily role, team, and tasks
• Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Team overview

• Finance Technology within Core Retail Services supports Target’s financial backbone and enterprise operations
• Platforms enable critical capabilities across domains including Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue and Receivables, and Enterprise Financial Controls
• The financial reporting platform brings data domains together to deliver near real-time insights for accurate financial reporting and faster data-driven decision-making
• The team uses agile practices and open-source technologies

Compensation and location

• Location: Brooklyn Park, MN (hybrid)
• Salary: USD 75,400 to 135,700 per year

Benefits

• Comprehensive health benefits including 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

ADA accommodations

• Target will make reasonable accommodations for applicants with disabilities
• If you need an accommodation for the application or interview process, email [email protected]