Data Engineer, Finance AI Solutions

Target

Confirmed live today High trust
Closes tomorrow Hybrid

Quick summary

Work type
Hybrid
Location
Brooklyn Park, MN
Salary
$75,400–$135,700 / yr
Employment
Full-time
Posted
2 days ago
Freshness
Confirmed live today
Closes
Oct 16, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $106k
$59k $227k
below market most similar roles pay here above market

This role pays less than 91% of similar roles. Most pay $127,712–$211,200 — the blue band above. At the midpoint, this role pays about $106k versus about $169k 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 84 open roles on FindRole.

Listed pay typically runs $98,000–$176,000 across 64 roles with salary data.

Most-posted roles

View all roles at Target

At a glance

TL;DR · Data Engineer, Finance AI Solutions

As a Data Engineer - Finance AI Solutions, you will join the Finance Technology team within Core Retail Services to support the financial backbone of enterprise operations. You will develop and maintain scalable data pipelines, distributed data processing solutions, and data services to support analytical and operational workloads. Your daily work involves building batch and real-time processing solutions, creating data models, and managing ETL workflows. You will utilize Spark, Scala, Java, Python, and PySpark across cloud platforms including AWS, GCP, or Azure. The role requires proficiency in SQL, REST APIs, and distributed databases while adhering to data governance and security standards. You will solve complex problems related to Accounts Payable, Treasury, and Financial Planning to deliver near real-time insights for accurate financial reporting.

What does a Data Engineer earn?

Median $157590 from 195 postings across 59 companies.

See salary data

What you'll do

  • Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms.
  • Build and enhance batch and real-time data processing solutions to support analytical and operational workloads.
  • Develop APIs and data services that enable secure and 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.
  • Troubleshoot production issues, optimize data processing performance, and improve system reliability.
  • Participate in code reviews, testing, and continuous improvement initiatives to maintain engineering quality.

What we're looking for

  • A 4-year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, or equivalent industry experience is required.
  • Software development experience with Big Data technologies such as Spark, Hadoop, or distributed data processing frameworks is required.
  • Programming experience with PySpark, Scala, Java, or Python is required.
  • Experience with cloud platforms (AWS, GCP, or Azure) and cloud-based data services is required.
  • Familiarity with data modeling, ETL development, and data pipeline design is required.
  • Exposure to API development using REST or similar technologies is required.
  • Experience with SQL and relational or distributed databases is required.
  • Understanding of data governance, security, and software development best practices is required.

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