Sr Data Engineer

Join Lowe’s in Charlotte to build governed, trusted data foundations that power analytics, dashboards, and AI-assisted decision-making.

Responsibilities

• Translate business questions, reporting needs, and metric definitions into reusable analytical data models, semantic layer objects, explores, measures, dimensions, and certified datasets
• Build reliable analytical logic using advanced SQL, data modeling, and domain knowledge across enterprise data platforms
• Create governed semantic layer assets and self-service explores to reduce ad hoc pulls and scale reporting
• Design, build, validate, and maintain scalable analytical assets for dashboards, self-service reporting, AI-assisted analysis, and decision-making
• Run data validation, reconciliation, quality checks, and performance reviews to ensure accurate, consistent, scalable outputs
• Partner with development teams to test, deploy, monitor, and optimize analytical assets, semantic layer updates, tracking logic, and integrations
• Develop data engineering project plans including scope, requirements, technical approach, dependencies, timelines, risks, and outcomes
• Coordinate with Analytics, Product, Engineering, Data Engineering, and business stakeholders on metric definitions, source logic, data lineage, grain, joins, filters, attribution, and usage expectations
• Communicate data model design, semantic logic, project status, risks, issues, and recommendations to stakeholders
• Support dashboard rationalization by identifying duplicate logic, low-value reporting, manual work, and opportunities to automate, productize, transition, or retire assets
• Support Newton Analyst and AI-assisted analytics by validating outputs, enabling trusted metric access, and creating governed AI-ready data assets
• Recommend improvements to data quality, metric consistency, self-service adoption, reporting scalability, and business impact
• Maintain documentation for metric definitions, transformation logic, source-to-target mapping, lineage, assumptions, limitations, and usage guidance
• Mentor Associate Data Engineers, Analysts, and team members on SQL, data modeling, semantic layers, validation, documentation, and engineering best practices
• Measure impact through reduced manual data pulls, improved dashboard performance, increased self-service adoption, stronger metric consistency, and higher trust in outputs

Requirements

• Bachelor’s degree in engineering, computer science, computer information systems (CIS), or related field (or equivalent years of experience in lieu of education, if applicable)
• 5+ years of experience in data, business intelligence or platform engineering, data warehousing/ETL, or software engineering
• 4+ years working on projects involving implementation of solutions with development life cycles (SDLC)
• 3+ years experience with object-oriented programming/structured programming, SQL, and scripting
• 3+ years experience in big data technology
• 3+ years experience in cloud-based big data technologies

Technologies

• SQL, LookML, dbt, Python, R, Alteryx, Knime, SAS, Newton Analyst

Preferred Skills / Education

• Master’s degree in Business, Engineering, Computer Science, Data Science, Statistics, Information Systems, Economics, or related field
• Experience with semantic modeling, governed datasets, LookML, dbt, advanced SQL, and cloud data platforms
• Experience with data modeling, optimization, data quality, lineage, testing, CI/CD, and reporting automation
• Experience with self-service and AI-assisted analytics, metric governance, and tools such as Python, R, Alteryx, Knime, or SAS
• Experience delivering complex data solutions across Product, Engineering, Analytics, and business teams, including project management and large-scale retail data

Benefits

• 401k with up to 4.25% match
• Discounted Employee Stock Purchase Plan (15% discount of strike price)
• Tuition-Free Education
• 10-week Maternity/Parental Leave
• 10% Associate Discount

Where You’ll Be

• Associates are required to relocate to the Lowe’s Tech Hub Charlotte NC to foster collaboration and support
• Work onsite at the Charlotte Tech Hub office, 5 days per week
• Most business meetings are planned around the Eastern time zone

Salary: USD 95,100 - 180,700 per year