(IND) STAFF, DATA ENGINEER
Walmart Global Tech · Posted Nov 4
Software development, cloud infrastructure, and retail technology services for Walmart
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About the role
The Global Data Foundations Data Engineering team builds and operates trusted, scalable data platforms and products that enable analytics, reporting, machine learning, and operational decision-making across Walmart. The work spans high-volume batch and streaming pipelines, cloud data platforms, data modeling, observability, governance, and platform modernization. As a Staff Data Engineer, this role provides hands-on technical leadership across initiatives, shaping architecture, engineering standards, and secure, resilient, cost-effective data solutions.
What you will do
- Lead the architecture, design, and delivery of large-scale data platforms, pipelines, and products supporting complex business capabilities across multiple domains.
- Translate ambiguous business and operational problems into well-defined data solutions, technical roadmaps, executable milestones, and measurable outcomes.
- Drive the execution of multiple business plans and projects by identifying customer and operational needs, communicating priorities, removing technical barriers, managing dependencies, and adapting plans based on progress and risk.
- Build and optimize reliable batch and streaming data pipelines using modern ETL/ELT, API, event-driven, and distributed-processing patterns.
- Design scalable conceptual, logical, and physical data models across relational, dimensional, NoSQL, data lake, and warehouse platforms.
- Identify authoritative data sources, define fit-for-purpose ingestion strategies, and establish data-quality checks, service-level objectives, lineage, and reconciliation controls.
- Provide technical direction through architecture reviews, design sessions, code reviews, proof-of-concepts, and production-readiness assessments.
- Develop and review production-quality code using SQL, Python, Java, or equivalent languages; establish robust testing, CI/CD, and release automation practices.
- Improve platform reliability through observability, capacity planning, performance tuning, incident prevention, root-cause analysis, and automated remediation.
- Partner with security, privacy, legal, governance, infrastructure, and product teams to ensure data is handled ethically and complies with enterprise and regulatory requirements.
- Define and champion engineering standards for data modeling, metadata, documentation, reusable frameworks, scalability, security, and cost efficiency.
- Mentor engineers, raise the technical bar, cultivate a learning environment, and influence teams without relying on direct authority.
- Evaluate emerging technologies and AI-enabled engineering capabilities, using evidence-based experimentation to recommend pragmatic adoption.
- Communicate architecture, trade-offs, delivery risks, and business impact clearly to engineering teams, senior leaders, and non-technical stakeholders.
- Promote company policies, mission, values, ethics, integrity, belonging, continuous improvement, and an open environment where concerns and ideas can be raised constructively.
Skills used in this role
What the employer is looking for
- 10+ years of professional experience in data engineering, software engineering, data platforms, or a related field, including experience leading technically complex, cross-team initiatives.
- Advanced proficiency in SQL and at least one general-purpose programming language such as Python or Java, with strong software engineering fundamentals.
- Deep experience designing and operating distributed data systems, including batch processing, streaming ingestion, APIs, event-driven architectures, and large-scale data transformations.
- Strong knowledge of cloud data ecosystems and technologies such as Google Cloud Platform, Microsoft Azure, or AWS, with experience in platforms such as BigQuery, Snowflake, Databricks, Spark, Presto/Trino, or equivalent.
- Experience with relational, dimensional, semi-structured, and NoSQL data models, including scalability, partitioning, indexing, schema evolution, and data-access patterns.
- Hands-on experience with orchestration, CI/CD, infrastructure automation, source control, automated testing, and production observability.
- Expertise in data quality, metadata, lineage, governance, privacy, security, retention, and regulatory compliance practices.
- Ability to formulate technical problems, compare solution options, articulate trade-offs, and connect engineering decisions to business outcomes and total cost of ownership.
- Demonstrated ability to troubleshoot complex production issues and improve the reliability, availability, performance, and operability of mission-critical data systems.
- Excellent written and verbal communication skills, with the ability to influence architecture and execution across engineering, product, analytics, and business stakeholders.
- Proven mentoring and technical leadership skills, including the ability to develop engineers, build alignment, and establish standards across teams.
- Experience working in Agile or product-oriented engineering environments and delivering iteratively in partnership with cross-functional teams.
- 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.
Benefits and support
- Incentive awards for performance
- Maternity and parental leave
- PTO
- Health benefits
About Walmart Global Tech
Walmart Global Tech is the technological powerhouse and engineering arm of Walmart Inc., responsible for building and managing foundational technologies, cloud infrastructure, and software systems. The organization powers global retail operations across Walmart U.S., Sam's Club, and Walmart International, delivering customer experiences and enterprise services worldwide. Operating across multiple global hubs, it unites engineering, data science, product design, and artificial intelligence to digitally transform retail.
- Industry
- Information Technology
- Company size
- 25000+ employees
- Founded
- 2011
- Location
- Bentonville, Arkansas, USA
- Funding stage
- Public Company
Leadership
Executive Vice President, Global Chief Technology Officer and Chief Development Officer
Executive Vice President, AI Acceleration, Product and Design
Senior Vice President and Tech Operating Partner, Walmart International
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