More jobs:
Data Engineer - Tech and AI
Job in
Minneapolis, Hennepin County, Minnesota, 55415, USA
Listed on 2026-06-14
Listing for:
Target
Full Time
position Listed on 2026-06-14
Job specializations:
-
IT/Tech
Data Engineering, Data Science Manager
Job Description & How to Apply Below
The pay range is $75,400.00 - $
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
JOIN TARGET TECH AS A DATA ENGINEER
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.
As a Data Engineer you will be responsible for building and optimizing data pipelines, integrating data from multiple sources and creating reliable, high-quality datasets that power analytics, reporting, machine learning and operational processes. You will join a collaboration and growing Data and Analytics team where you're accountable for developing code and configuring software that generates required data in support of reporting and analysis for our global teams.
As a Data Engineer, you will:
* Design, develop, and maintain scalable data pipelines and data integration solutions to support business intelligence, analytics, and data science initiatives
* Translate business requirements into technical solutions by partnering with stakeholders, analysts, data scientists, and application teams
* Build and optimize ETL/ELT processes to ingest, transform, and deliver data from various internal and external sources
* Develop and maintain data models, curated datasets, and data products that support reporting, analytics, and operational use cases
* Design and implement cloud-native data solutions on Google Cloud Platform (GCP)
* Develop and optimize data processing workflows using modern big data technologies
* Ensure data quality, integrity, consistency, security, and governance across data platforms
* Support both batch and real-time data processing patterns using modern integration and streaming technologies
* Develop automated testing, monitoring, and alerting capabilities to ensure data pipeline reliability and performance
* Leverage AI-assisted development tools to improve productivity, code quality, documentation, testing, and troubleshooting
* Contribute to engineering best practices including code reviews, CI/CD automation, infrastructure as code, and Dev Ops principles
* Collaborate with cross-functional teams to troubleshoot issues and continuously improve data solutions
* Leverage AI-assisted development tools to improve productivity, code quality, documentation, testing, and troubleshooting.
* Contribute to engineering best practices including code reviews, CI/CD automation, infrastructure as code, and Dev Ops principles.
* Collaborate with cross-functional teams to troubleshoot issues and continuously improve data solutions
Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
About you:
* 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent industry experience
* 1+ year of experience in Data Engineering, Software Engineering, BI Engineering or a related engineering skillset
* Strong programming skills in Python, Java, Scala, or a similar language
* Strong SQL development and query optimization skills
* Experience building and supporting ETL/ELT pipelines and data integration workflows
* Experience with modern data lake and data warehouse architectures
* Experience with Hadoop ecosystem technologies including Hive, HDFS and Spark
* Experience with streaming technologies such as Kafka or Pub/Sub
* Experience with workflow orchestration tools such as…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×