FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data engineering solutions, with a strong focus on data governance, compliance, and cross-functional collaboration. Proficient in SQL and Google BigQuery for data modeling, transformation, and integration.
Highest-signal resume keywords
Data EngineeringSQL ProficiencyGoogle BigQuery ExpertiseData Governance KnowledgeData Pipeline Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData TransformationData IntegrationAlgorithm DesignAdvanced Analytical Techniques
Soft Skills
Cross-Functional CollaborationSupervisory Experience
Tools & Technologies
Google BigQueryData PipelinesData DocumentationMetadata Management
Industry Keywords
Data GovernanceRegulatory ComplianceBusiness IntelligenceBusiness AnalyticsOperational Efficiency
Tech Stack
Tools & technologiesBigQueryCloudSQL
About the role
Key responsibilities & impact- Translate complex business requirements into scalable data engineering solutions aligned with organizational strategy
- Design, develop, and maintain data pipelines and architectures using SQL, Google BigQuery, and other relevant technologies
- Implement data governance practices ensuring compliance with regulatory and ethical standards
- Collaborate with cross-functional teams to identify, source, and integrate data sets for analysis and reporting
- Optimize data transformation, integration, and storage processes
- Lead code development, testing, and troubleshooting
- Stay current with emerging data engineering trends and tools
- Support Walmart’s workforce planning, operational efficiency, and enterprise-wide data initiatives
Requirements
What you’ll need- Bachelor’s degree in Computer Science and 6 years' experience in software engineering or related field, or 8 years’ experience in software engineering or related field, or Master's degree in Computer Science and 4 years' experience in software engineering or related field
- 5 years' experience in data engineering, database engineering, business intelligence, or business analytics
- 2 years' supervisory experience
- Expertise in data modeling, transformation, and integration using SQL and cloud platforms such as Google BigQuery
- Strong understanding of business context across multiple domains
- Experience designing and deploying scalable data pipelines and automation for data preparation and processing
- Knowledge of data governance principles, including data quality, privacy, and regulatory compliance
- Proficiency in algorithm design and advanced analytical techniques
- Ability to develop and maintain comprehensive data documentation and metadata management
Benefits
Comp & perks- Performance-based bonus awards
- Medical, vision and dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO, including sick leave
- Parental leave
- Family care leave
- Bereavement leave
- Jury duty leave
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U Walmart-paid education benefits, including tuition, books, and fees for eligible programs
- English Language Learning and short-form certificate programs through Live Better U
