Finance Data Engineer - Scalable Pipelines | Hybrid/Flex

Relha LLC; Brooklyn Park (MN); Hybrid; USD 75,000 - 136,000; Full time

Job summary

Target is seeking a Data Engineer in Minnesota to design and maintain scalable data pipelines and analytics-ready datasets that support financial systems and enterprise reporting. You will collaborate with engineers, product managers, data scientists, and business partners to deliver reliable data solutions and insights.

The role emphasizes building batch and real-time processing, APIs, and data services while upholding governance, security, and quality standards.

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 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

Skills

PySpark

Scala

Java

Python

REST APIs

Cloud platforms (AWS,GCP,Azure)

SQL

Data modeling

Data pipelines

Analytical thinking

Education

4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc.

Tools

Hadoop

Job description

Target is seeking a Data Engineer in Minnesota to design and maintain scalable data pipelines and analytics-ready datasets that support financial systems and enterprise reporting. You will collaborate with engineers, product managers, data scientists, and business partners to deliver reliable data solutions and insights.

The role emphasizes building batch and real-time processing, APIs, and data services while upholding governance, security, and quality standards.