Senior Engineer - Agentic Data Platform

Target

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$98,000–$176,000 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $137k
$80k most similar roles pay here $264k

This role pays less than 89% of similar roles. Most pay $156,911–$246,150 — the shaded band above. At the midpoint, this role pays about $137k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

About Target

Target Corporation is a large-format general merchandise and grocery retailer offering a wide assortment of everyday essentials, apparel, home goods, and electronics through stores and online. Industry: General Merchandise Retail

Target currently has 58 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 58 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Senior Engineer - Agentic Data Platform

As a Sr Engineer - Agentic Data Platform on the Agentic Analytics team, you will design and build software and platform capabilities for Agent Fetch and the broader agentic data platform. You will work on agent orchestration, data and metadata access, semantic models, evaluation, observability, and security to connect users and agents to trusted analytical data and governed business metrics. The role requires proficiency in Python or Java, with experience in AI agents, LLM applications, tool use, planning, and multi-step workflows. You will utilize LangGraph, dbt, LookML, Power BI semantic models, and distributed systems. Key technical areas include retrieval, context management, structured tool interfaces, and MCP-based architectures. This role solves the challenge of creating an enterprise agentic analytics layer that provides governed insights within a rapidly evolving technical space.

What does a Engineer earn?

Median $185000 from 249 postings across 48 companies.

See salary data

What you'll do

  • Design and build software for the Agent Fetch platform and broader agentic data infrastructure.
  • Develop capabilities for agent orchestration, data access, and semantic models.
  • Build systems that allow users and agents to interact with governed business metrics safely.
  • Implement evaluation and observability frameworks for LLM and agent-based systems.
  • Manage metadata, lineage, and data governance within analytical data systems.
  • Integrate structured tool interfaces and manage retrieval and context for AI applications.
  • Develop distributed systems, event-driven architectures, and APIs for platform engineering.
  • Implement security and authorization patterns for data-enabled applications.

What we're looking for

  • A 4-year degree in Quantitative disciplines or equivalent industry experience is required.
  • An MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field is preferred.
  • 3+ years of experience designing, developing, testing, and supporting software applications or platform services are required.
  • Proficiency in Python or Java with the ability to learn additional languages and frameworks is required.
  • Experience with AI agents, LLM applications, tool use, planning, or multi-step agent workflows is required.
  • Experience with agent orchestration frameworks, evaluation, and observability for LLM-based systems is required.
  • Experience with data platforms, analytical data systems, metadata, lineage, or data governance is required.
  • Experience with semantic layers, governed metrics, LookML, Power BI, dbt, or similar technologies is required.

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