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.
JOIN TARGET AS AN ENGINEER – DATA PLATFORM, AGENTIC ANALYTICS
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.
About the Role:
The Agentic Analytics team is building the next generation of AI-enabled analytics and data access at Target. Our work goes beyond traditional GenAI and natural-language querying. We are building an enterprise agentic analytics layer that connects people and agents to trusted analytical data, governed business metrics, contextual insights, and analytical workflows.
As an Engineer on this team, you will help design and build the software and platform capabilities behind Agent Fetch and the broader agentic data platform. You will work across agent orchestration, data and metadata access, semantic models, evaluation, observability, security, and the services that allow both users and other agents to safely interact with enterprise analytical data.
This is a highly collaborative engineering role on a team working in a rapidly evolving technical space. You will be expected to learn unfamiliar domains quickly, work independently when appropriate, pair with others when useful, and iterate as both the technology and our product strategy evolve.
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
- BS or MS in Computer Science, Information Technology, Machine Learning, Artificial Intelligence, Applied Mathematics, Physics or a relevant industry experience
- Experience designing, developing, testing and supporting software applications or platform services
- Demonstrated proficiency programming in Python or Java with the ability to become productive in additional languages and frameworks
- Experience with AI agents, LLM applications, planning, or multi-step agent workflows
- Experience with Agent orchestration frameworks such as LangGraph
- Experience in evaluation and observability for LLM- or agent-based systems
- Exposure to retrieval, context management, structured tool interfaces, or MCP-based architectures
- Exposure to data platforms, analytical data systems, metadata, lineage, or data governance
- Knowledge of semantic layers, governed metrics, LookML, Power BI semantic models, dbt, or similar technologies
- Experience with distributed systems, event-driven architectures and API’s
- Knowledge of security and authorization patterns for data- or AI-enabled applications
- Experience with automated testing and an understanding of production observability, debugging, and operational reliability
- Strong problem-solving skills, including the ability to diagnose complex behavior, identify root causes, test hypotheses and iteratively improve a solution
- The ability to quickly learn unfamiliar business and technical domains through research, experimentation, and collaboration
- Strong collaboration and communication skills, including comfort pairing with other engineers and working across 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
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans 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 [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 08/31/2026Skills Required
- Bachelor’s or master’s degree in Computer Science, Information Technology, Machine Learning, Artificial Intelligence, Applied Mathematics, Physics, or relevant industry experience
- Experience designing, developing, testing, and supporting software applications or platform services
- Proficiency programming in Python or Java, with ability to learn additional languages and frameworks
- Experience with AI agents, LLM applications, planning, or multi-step agent workflows
- Experience with agent orchestration frameworks such as LangGraph
- Experience evaluating and monitoring LLM- or agent-based systems
- Exposure to retrieval, context management, structured tool interfaces, or MCP-based architectures
- Exposure to data platforms, analytical data systems, metadata, lineage, or data governance
- Knowledge of semantic layers, governed metrics, LookML, Power BI semantic models, dbt, or similar technologies
- Experience with distributed systems, event-driven architectures, and APIs
- Knowledge of security and authorization patterns for data- or AI-enabled applications
- Experience with automated testing and production observability, debugging, and operational reliability
- Strong problem-solving skills, including root-cause analysis, hypothesis testing, and iterative solution improvement
- Ability to quickly learn unfamiliar business and technical domains through research, experimentation, and collaboration
- Strong collaboration and communication skills, including pairing with engineers and working across teams
Target Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Target and has not been reviewed or approved by Target.
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Healthcare Strength — Health benefits are accessible to hourly team members at relatively low hour thresholds and include no‑cost, 24/7 virtual medical care and expanded mental‑health support. This breadth is positioned as a relative strength compared to typical retail offerings.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match with immediate vesting and options like Roth 401(k) and stock purchase. These features strengthen long‑term savings for a wide range of roles.
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Parental & Family Support — Family support includes paid family leave, backup care, and reimbursements for adoption and surrogacy. These resources complement paid time off and holidays for eligible team members.
Target Insights
What We Do
Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more. Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.
