Data Engineer - Finance AI Solutions
Analytics
Artificial Intelligence
Aws Data Lake
Azure Data Lakes
Big Data
Bigdata
Business Intelligence
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Warehouse
Database
Databases
Digital Marketing
Engineer
ETL
Informatica
Information Technology (IT)
Programming Languages
Reporting and Analytics
Spark
SQL
Job Description
Target’s Finance Technology team is building the data foundation that supports enterprise financial operations and near real-time reporting. In this Data Engineer role, you will design, develop, and maintain scalable data pipelines and distributed processing capabilities that help power financial systems and analytical insights.
Working within an agile engineering environment, you will collaborate across engineering, product, and business stakeholders to deliver reliable data services, models, and frameworks. The work includes building both batch and real-time processing solutions, applying governance and security standards, and improving performance and reliability in production.
Position overview
- Develop and maintain scalable data solutions supporting Target’s financial systems and enterprise reporting
- Build reliable data pipelines and data services as part of an agile engineering team
- Collaborate with engineers, product managers, data scientists, and business partners to deliver efficient, scalable, and maintainable data solutions
- Grow technical expertise in cloud technologies and distributed data processing
Team overview
- Finance Technology within Core Retail Services powers Target’s financial backbone
- Platforms support critical capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls
- Finance reporting brings these data domains together to deliver near real-time insights for accurate reporting and faster decision-making
- Work occurs within a global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers
- Agile practices and open-source technologies are used to build best-in-class solutions
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 for analytical and operational workloads
- Create and maintain APIs and data services to enable secure and efficient access to enterprise data
- Develop data models, ETL workflows, and processing frameworks aligned to business requirements
- Apply established data governance, security, and quality standards throughout the development lifecycle
- Troubleshoot production issues, optimize data processing performance, and improve system reliability
- Participate in code reviews, testing, and continuous improvement to maintain engineering quality
- Continuously learn and adopt new technologies, tools, and engineering best practices
Required qualifications
- 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 for cross-functional teamwork
Technologies
- Spark
- Scala
- Java
- AWS
- GCP
- Azure
- PySpark
- Python
- Hadoop
- REST
- SQL
Work arrangement
- Hybrid/Flex for your day arrangement based on Target’s needs
- Core role work is performed both onsite at Target HQ in MN and virtually depending on daily requirements
- Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target
Compensation and location
- Location: Brooklyn Park, MN (hybrid)
- Salary range: USD 75,400 - 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
- Competitive benefits available across financial and education to well-being and beyond: https://corporate.target.com/careers/benefits
- Benefits eligibility link: https://tgt.biz/BenefitsForYou_D
ADA accommodations
- Target will provide reasonable accommodations for applicants with disabilities in accordance with state and federal laws
- For accommodation requests related to the application or interview process, contact: [email protected]
- Non-accommodation-related requests (application follow-ups or technical issues) will not be handled through this email