Build reliable data infrastructure for finance and near real-time reporting in a hybrid role based in Brooklyn Park, MN. Target’s Finance AI Solutions team supports enterprise financial capabilities across multiple data domains, bringing them together through a reporting platform designed for faster, data-driven decisions. You will work within an agile engineering team in Target’s global in-house technology organization, using open-source tools and modern cloud and distributed processing to deliver dependable data services.
What you’ll do
- Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and AWS, GCP, or Azure.
- Build and enhance batch and real-time processing solutions for analytical and operational workloads.
- Create and maintain APIs and data services that 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 the development lifecycle.
- Collaborate with engineers, product teams, and business stakeholders to understand needs and deliver reliable data solutions.
- Troubleshoot production issues, optimize processing performance, and improve overall 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.
What you bring
- A 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 for cross-functional teamwork.
Tools and technologies
Spark, Scala, Java, AWS, GCP, Azure, PySpark, Python, Hadoop, REST, SQL
Compensation and benefits
Salary: USD 75,400 - 135,700 per year.
- 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
- Competitive benefits from financial and education to well-being and beyond: https://corporate.target.com/careers/benefits
- For benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D (paste into your preferred browser)
Location and work arrangement
This position is based in Brooklyn Park, MN and operates on a hybrid/flex schedule based on Target’s needs. Core role duties may be performed both onsite at Target HQ in Minnesota and virtually, depending on the day’s role, team, and tasks.
Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target.
Accessibility
Target provides reasonable accommodations for applicants with disabilities in accordance with state and federal laws. To request an accommodation for the application or interview process, contact candidate.accommodations@HRHelp.Target.com.
