This role pays less than
95%
of similar roles. Most pay
$142,050–$211,200
— the shaded band above.
At the midpoint, this role pays about
$106k
versus about
$177k
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
49 open roles
on FindRole.
Listed pay typically runs
$115,000–$211,000
across 49 roles with salary data.
As a Data Engineer at Target Tech, you will join a dynamic and growing team responsible for building and optimizing data pipelines to support business intelligence, analytics, and machine learning initiatives. Your day-to-day responsibilities include designing scalable ETL/ELT processes, developing cloud-native solutions on Google Cloud Platform (GCP), and ensuring data quality and governance across platforms. You will work with modern big data technologies such as Hadoop, Spark, Kafka, and Airflow while leveraging AI-assisted development tools to enhance productivity and code quality. The role requires strong programming skills in Python or Java, experience with SQL query optimization, and familiarity with containerization and infrastructure-as-code tools like Docker and Terraform. This position is ideal for someone passionate about data engineering at a large-scale enterprise environment focused on continuous improvement and collaboration across cross-functional teams.