Data Engineer - Finance AI Solutions
About The Position
The Data Engineer - Finance AI Solutions role at Target involves developing and maintaining scalable data solutions to support the company's financial systems and enterprise reporting capabilities. Working within an agile engineering team, the individual will build reliable data pipelines, develop data services, and deliver high-quality data to enable business insights and operational excellence. This role requires collaboration with engineers, product managers, data scientists, and business partners to create efficient, scalable, and maintainable data solutions, while also fostering technical expertise in cloud technologies and distributed data processing. The Finance Technology team within Core Retail Services is responsible for the financial backbone of Target's enterprise operations, supporting critical business functions and providing near real-time insights through a financial reporting platform.
Requirements
- 4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc. or equivalent industry experience
- 1 plus 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 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 with the ability to work effectively on cross-functional teams
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 to support analytical and operational workloads
- Develop APIs and data services that enable secure/efficient access to enterprise data
- Create and maintain data models, ETL workflows, and processing frameworks that support 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
Benefits
- Comprehensive health benefits and programs (medical, vision, dental, life insurance)
- 401(k)
- Employee discount
- Short term disability
- Long term disability
- Paid sick leave
- Paid national holidays
- Paid vacation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
