Senior HR Data Engineer

🔥 10 minutes ago

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Dollar Tree Stores

WebsiteLinkedInAll Job Openings

10,000+ employees

🛒 Retail

👥 B2C

💰 $370M Post-IPO Equity - Dollar Tree on 2019-01

Retail • B2C

Dollar Tree Stores is a U. S. -based discount variety retail chain that operates thousands of physical stores, supported by distribution centers and a corporate headquarters. The company focuses on offering low-priced goods and value-driven shopping experiences to consumers, and emphasizes employee development, inclusive workplace culture, and benefits for its associates. Dollar Tree’s operations include store retailing, logistics and distribution, and corporate support functions.

📋 Description

• Design, build, and maintain scalable data pipelines that ingest, transform, validate, and publish data from enterprise applications, APIs, flat files, databases, cloud platforms, and other structured or semi-structured sources. • Develop and support modern data solutions in Microsoft Fabric using pipelines, notebooks, lakehouses, dataflows, warehouses, and related services as appropriate to the use case. • Build and manage reusable data models and curated data layers that support analytics, operational reporting, self-service BI, data science, and AI use cases. • Integrate Workday and Workday Prism data with other enterprise sources to support cross-functional reporting, historical analysis, and downstream data products. • Apply strong data engineering standards for schema design, metadata, lineage, documentation, naming conventions, and change management. • Prepare data for AI and advanced analytics by improving data quality, consistency, context, discoverability, and semantic clarity. • Implement automated data quality checks, reconciliation processes, and exception handling to improve trust in enterprise data assets. • Monitor pipeline health, job performance, refresh reliability, and data latency; troubleshoot root causes and implement durable fixes. • Optimize storage, transformation logic, partitioning, query performance, and compute usage to improve cost, speed, and scalability. • Partner with business stakeholders and technical teams to translate business requirements into practical, maintainable data solutions. • Support secure access to sensitive data by applying governance, privacy, retention, and role-based access standards consistent with company policy and regulatory requirements. • Contribute to platform improvement by evaluating emerging tools, patterns, and features in areas such as data engineering, AI enablement, automation, and observability.

🎯 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. • Experience working with Workday data, Workday reporting, Workday Prism Analytics, or similar HCM/ERP data platforms is strongly preferred. • 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.

🏖️ Benefits

• We're invested in your health and wellness. That’s why we invest in perks, programs, and resources that help you at every stage of your life and career.