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About the Role

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 collaborative and growing Data and Analytics team where you will be accountable for developing code and configuring software that generates required data in support of reporting and analysis for our global teams.

Responsibilities

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.

Requirements

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.
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.

Skills

Python
Java
Scala
SQL
ETL/ELT
Data Integration
Data Lake
Data Warehouse
Hadoop
Hive
HDFS
Spark
Kafka
Pub/Sub
Airflow
Cloud Composer
Docker
Kubernetes
Terraform
Data Quality
Metadata Management
Data Governance
Google Cloud Platform (GCP)
BigQuery
Cloud Storage
Dataproc
Dataflow
Apache Spark
AI-assisted development tools

Location

Target HQ MN

Work Type

Hybrid/Flex for Your Day

Experience Level

1+ year of experience

Education Level

4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent industry experience

Salary/Compensations

$75,400.00 - $135,700.00

Benefits

Comprehensive health benefits and programs (medical, vision, dental, life insurance)
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation

About the Company

Working at Target means helping all families discover the joy of everyday life.
Target is one of the world’s most recognized brands and one of America’s leading retailers.
We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver.
Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support.
Since 1946, we have given 5 percent of our profits back to our communities.
Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

Equal Opportunity

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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.