Dollar Tree Stores is a retail company seeking a Data Engineer to design, build, and support modern data solutions. The role involves working with cloud and enterprise data platforms to create scalable data products for analytics and AI initiatives, collaborating with various stakeholders to enhance decision-making capabilities.
Responsibilities:
- Designs, builds, and supports modern data solutions that turn complex enterprise data into trusted, scalable, and reusable data products for analytics, reporting, automation, and AI
- Works closely with analysts, data scientists, architects, application owners, and business stakeholders to deliver durable data solutions that improve decision-making and enable advanced analytics and AI initiatives
Requirements:
- 5+ years of progressive experience in data engineering, analytics engineering, BI engineering, data architecture, or a closely related technical role
- Strong hands-on experience building and supporting enterprise ETL/ELT pipelines and curated analytical data assets
- Experience with Microsoft Fabric, including one or more of the following: lakehouse, pipelines, notebooks, Spark/PySpark, dataflows, warehouse, semantic models, or related platform administration
- Strong SQL skills and practical experience with Python, PySpark, or similar data transformation and automation tools
- Experience integrating multiple data sources, including APIs, flat files, SFTP-based feeds, operational systems, and cloud or on-premises data platforms
- Experience with data modeling, dimensional concepts, semantic layers, and performance tuning for analytics workloads
- Experience delivering data products that support reporting, advanced analytics, machine learning, natural language interfaces, or other AI-enabled use cases
- Bachelor's degree in computer science, Information Systems, Data Engineering, Analytics, or a related field; equivalent practical experience may be considered in lieu of a degree
- Experience working with Workday data, Workday reporting, Workday Prism Analytics, or similar HCM/ERP data platforms
- Microsoft Fabric
- Workday Prism Analytics / Workday reporting
- SQL
- Python / PySpark
- Lakehouse / warehouse architecture
- ETL / ELT / orchestration
- Data modeling / semantic modeling
- Data quality, lineage, governance, and security controls
- Power BI or comparable analytics and visualization platforms