Data Engineer - Finance AI Solutions

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

The pay range is $75,400.00 - $135,700.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Team Overview:

Finance Technology within Core Retail Services powers the financial backbone of Target's enterprise operations. We build and support platforms that enable critical business capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls. Our financial reporting platform brings these data domains together to deliver near real-time insights, enabling accurate financial reporting and faster, data-driven decision-making. Join our global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers who are striving to make Target the most convenient, safe, and joyful place to shop. We use agile practices and leverage open-source technologies to build best-in-class solutions for our team members and guests.

Position Overview:

As a Data Engineer, you will develop and maintain scalable data solutions that support Target's financial systems and enterprise reporting capabilities. Working as part of an agile engineering team, you'll build reliable data pipelines, develop data services, and help deliver high-quality data that enables business insights and operational excellence. You'll collaborate closely with engineers, product managers, data scientists, and business partners to build efficient, scalable, and maintainable data solutions while continuing to grow your technical expertise in cloud technologies and distributed data processing.

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 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

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

About You:

4 year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc. or equivalent industry experience

1plus 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

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [emailprotected] . Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.