Data Engineer - Finance AI (PySpark)

Target’s Finance Technology team builds the financial backbone behind enterprise operations, powering core capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls. If you want to work on near real-time financial reporting and help enable faster, data-driven decisions, this hybrid Data Engineer role supports reliable analytics and operational workloads through scalable data pipelines and distributed processing.

What you’ll do

As a Data Engineer focused on Finance AI solutions, you will develop and maintain data solutions that support Target’s financial systems and enterprise reporting capabilities. You’ll work within an agile engineering team to deliver dependable batch and real-time processing, data services, and APIs, while applying governance, security, and quality standards across the development lifecycle.

• Build and maintain scalable data pipelines and distributed processing solutions using Spark with Scala/Java on cloud platforms such as AWS, GCP, or Azure
• Develop batch and real-time data processing solutions for analytical and operational workloads
• Create data services and APIs 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 development
• Collaborate with engineers, product teams, and business stakeholders to understand requirements and deliver reliable data solutions
• Troubleshoot production issues, optimize performance, and improve system reliability
• Participate in code reviews and testing, and contribute to continuous improvement
• Continuously learn and adopt new technologies, tools, and best practices

What you bring

• 4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, or related, or equivalent industry experience
• 1+ year 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 work

Tech you’ll use

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

Compensation & location

Brooklyn Park, MN (hybrid). Salary range: 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
• Explore additional competitive benefits from financial and education to well-being and beyond: https://corporate.target.com/careers/benefits
• Benefits eligibility information: https://tgt.biz/BenefitsForYou_D

Hybrid/Flex for your day

• Operate as a Hybrid/Flex for Your Day role based on Target’s needs
• Core role requires onsite work at the Target HQ MN location and virtual work, depending on role, team, and daily tasks
• Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Accommodation

Target will make reasonable accommodations for applicants with disabilities. For help with the application or interview process, reach out to [email protected]. Non-accommodation-related requests (such as application follow-ups or technical issues) won’t be addressed through this channel.