Data Engineer - Target Tech and AI

The pay range is $75,400.00 - $135,700.00. Pay is based on factors such as labor markets, education, work experience and certifications. Target offers a comprehensive benefits package to eligible team members and their dependents, including medical, vision, dental, life insurance, 401(k), employee discount, short‑term and long‑term disability, paid sick leave, paid national holidays, and paid vacation. About the Role A Data Engineer at Target is 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. Responsibilities Design, develop, and maintain scalable data pipelines and data integration solutions. 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). Build and optimize data processing workflows using modern big data technologies. Ensure data quality, integrity, consistency, security, and governance across data platforms. Support 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. Qualifications 4‑year degree in a quantitative discipline (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) and the ability to effectively leverage them to improve engineering productivity and solution quality. Strong analytical, problem‑solving and communication skills. Work Arrangement This position will operate as a Hybrid/Flex for Your Day work arrangement; the core role will be performed both onsite at the Target headquarters in MN and virtually, depending on team and task requirements. Work duties cannot be performed outside of the country of the primary work location unless otherwise prescribed by Target. EEO & ADA Target is committed to equal opportunity and complies with state and federal laws, including the Americans with Disabilities Act (ADA). 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 contact View email address on click.appcast.io. Application Deadline Application deadline: 06/17/2026. #J-18808-Ljbffr