Data Engineer Target Tech and AI

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and 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 benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at 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 youre 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 DevOps 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 DevOps 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 Airflow or Cloud Composer
• Knowledge of containerization technologies such as Docker and Kubernetes
• Familiarity with infrastructure-as-code tools such as Terraform
• Experience implementing data quality metadata management and data governance
• Hands-on experience with Google Cloud Platform (GCP) data and analytics services such as BigQuery Cloud Storage Dataproc Dataflow Pub/Sub Composer or similar technologies. Google Cloud certifications preferred
• Experience working with distributed data processing frameworks such as Apache Spark
• Familiarity with AI-powered development tools (e.g. GitHub Copilot Gemini ChatGPT Cursor or similar) and the ability to effectively leverage them to improve engineering productivity and solution quality
• Strong analytical problem-solving and communication skills

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members 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

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 Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.