(USA) Staff, Data Engineer

Position Summary

As a Staff Data Engineer at Walmart, you will design and implement scalable data solutions that support complex business needs across multiple domains. This role involves developing and optimizing data pipelines, ensuring data quality, and enabling seamless integration of multiple data sources. You will collaborate with stakeholders to translate business requirements into effective technical solutions while adhering to regulatory and compliance standards. Leveraging expertise in cloud platforms, automation, and advanced data modeling, you will drive innovation and operational excellence to empower data-driven decision-making across the organization, especially in the privacy, de-identification and tokenization pipelines.

About the Team

Walmart's Consumer Health & Data Solutions team develops data-driven products that support healthier eating and informed wellness decisions. As a Staff Data Engineer, you will operate and enhance de-identification and tokenization pipelines on on-premises platforms using CLI workflows. The team also advances health-focused web pages and chatbot features that help in the health domain. This position helps with managing data sourcing, experimentation, evaluation, and production. Collaboration with product, data science, and other data engineers is key, with ownership of model quality, insights, and measurable impact. This role emphasizes data engineering expertise, compliance, and delivering scalable, high-quality solutions.

Responsibilities

• Collaborate with stakeholders and translate complex business requirements into scalable data solutions
• Operate and evolve our de-identification and tokenization pipelines running on two on-prem vendor platforms via CLI driven workflows
• Build transformations and joins that adjust data granularity to satisfy our risk thresholds under our Expert Determination methodology
• Own daily/weekly refresh cycles feeding internal analytics and external pharma partners
• Translate HIPAA, DGC, and Expert Determination requirements into engineering controls alongside Legal, Privacy, and Compliance
• Implement data governance practices ensuring compliance with regulatory and ethical standards
• Automate workflows and optimize ETL processes using modern tools and cloud platforms
• Conduct data quality assessments and metadata management

Qualifications

• Option 1: Bachelor's degree in Computer Science and 4 years' experience in software engineering or related field
• Option 2: 6 years' experience in software engineering or related field
• Option 3: Master's degree in Computer Science and 2 years' experience in software engineering or related field
• 3 years' experience in data engineering, database engineering, business intelligence, or business analytics

Required Skills

• Demonstrated capability to translate complex business requirements into scalable data solutions
• Proven expertise in data engineering, including data pipeline management and large-scale data processing
• Strong proficiency in Python, SQL, and ETL frameworks for data transformation and integration
• Experience with cloud data platforms, workflow automation, and CI/CD practices
• Knowledge of data governance, regulatory compliance, and handling sensitive healthcare data such as PHI/PII
• Ability to design and implement data models and metadata management using modern tools
• Familiarity with Apache Kafka, REST APIs, and version control systems like Git

Preferred Qualifications

• Data engineering, database engineering, business intelligence, or business analytics
• ETL tools and working with large data sets in the cloud
• Master's degree in Computer Science or related field and 4 years' experience in software engineering or related field
• Background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly
• Knowledge of accessibility best practices and experience creating accessible products and services following accessibility standards and guidelines for supporting an inclusive culture

Benefits

• Health benefits including medical, vision and dental coverage
• Financial benefits including 401(k), stock purchase and company-paid life insurance
• Paid time off including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting
• Short-term and long-term disability
• Company discounts
• Military Leave Pay
• Adoption and surrogacy expense reimbursement
• Live Better U education benefit program for full-time and part-time associates, including high school completion to bachelor's degrees, English Language Learning, and short-form certificates with tuition, books, and fees completely paid

Pay

Annual salary range: $143,000.00 - $286,000.00. Additional compensation includes annual or quarterly performance bonuses and may also include stock.

Primary Location: 809 11th Ave, Sunnyvale, CA 94089-4731, United States of America

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