Engineer - Data Platform (Agentic Data Layer)

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

Job summary

Target is seeking an Engineer - Data Platform to help build the Agentic Analytics layer and scalable data platform. You will design software that connects agents to trusted analytics, governed metrics, and contextual insights.

You will collaborate across teams, learn new domains quickly, and contribute to production observability and reliability in a hybrid work setup at Target's MN location.

Qualifications

• BS or MS in Computer Science, Information Technology, ML, AI, applied math, physics or equivalent experience.
• Experience designing, developing, testing and supporting software applications or platform services.
• Proficiency in Python or Java; 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 in evaluation and observability for LLM- or agent-based systems.
• Exposure to retrieval, context management, structured tool interfaces, MCP-based architectures.
• Exposure to data platforms, analytics data systems, metadata, lineage or data governance.
• Knowledge of semantic layers and governed metrics (LookML, Power BI, dbt).
• Experience with distributed systems, event-driven architectures and APIs.

Responsibilities

• Help design and build software and platform capabilities behind Agent Fetch and the agentic data platform.
• Work across agent orchestration, data access, semantic models, evaluation, observability and security.
• Enable users and agents to safely access enterprise analytical data.
• Collaborate across teams; learn unfamiliar domains quickly and iterate with feedback.
• Support production reliability and debugging, with a proactive stance on quality.

Skills

Python/Java

AI agents

Agent orchestration

Observability

Security patterns

Testing/Debugging

Collaboration

Education

BS or MS in CS/IT/ML/AI/Applied Math/Physics

Tools

LangGraph

LookML

Power BI

dbt

Job description

Engineer - Data Platform (Agentic Data Layer)

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.

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

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.