Senior, Software Engineer

Walmart•Bentonville, AR

About The Position

Walmart is seeking a Senior Software Engineer to lead the delivery of scalable, secure, and maintainable software solutions. This role owns the full software development lifecycle—from problem formulation and design through implementation, testing, deployment, and ongoing support—across services, APIs, data pipelines, and AI/ML-enabled components. The successful candidate partners cross-functionally to translate complex business needs into clear technical requirements, drive continuous improvement, and ensure high-quality outcomes aligned with platform and business objectives. An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation. What you'll do: Technical leadership & delivery: Drive end-to-end delivery of software and data products, making sound architectural decisions and ensuring reliability, security, and maintainability. Tech problem formulation: Identify options to address business problems using appropriate analytical/automation methods; demonstrate understanding of use cases, desired outcomes, and success measures. Business context & stakeholder partnership: Build relationships with key stakeholders; identify business needs; support business cases and recommendations; adapt to competing demands and organizational change. Data source identification & quality: Determine fit-for-purpose data sources across business systems; understand requirements/SLA priority; perform initial data quality checks on extracted data. Data transformation & integration: Build and maintain data pipelines using batch/streaming ingestion and integration techniques (e.g., ETL, APIs, crawlers/scrapers); apply preprocessing methods (normalization, feature extraction) as needed. Data modeling: Contribute to conceptual/logical/physical data models (data lake/warehouse/marts); define relational structures (tables, keys, stored procedures); evaluate and improve existing models and data flows; address integration challenges. Code development & testing: Develop features using languages such as Java, Python, SQL, C++ (as applicable); create proofs of concept; write test cases; validate designs; deploy to production; maintain documentation and playbooks; provide timely status updates. Governance, privacy, and compliance: Support documentation and implementation of data governance practices, including privacy, security, retention, and ethical/regulatory requirements. Data strategy & continuous improvement: Apply data strategy principles to routine business problems; identify improvement opportunities; promote continuous learning and operational excellence. Mentorship & team development: Provide guidance to less experienced engineers; support training and enablement; contribute to an inclusive, accountable team culture. What you'll bring: You bring strong technical/architectural leadership, including cost optimization through the right architecture and pricing models, plus full-stack microservices experience (Java, Node.js, React, Angular). You’ve helped define long-term platform (PaaS) strategy at global scale, document and share best practices/reference architectures, and drive engineering excellence in reliability, monitoring/alerting, product health, and portability.

Requirements

strong technical/architectural leadership, including cost optimization through the right architecture and pricing models, plus full-stack microservices experience (Java, Node.js, React, Angular)
helped define long-term platform (PaaS) strategy at global scale, document and share best practices/reference architectures, and drive engineering excellence in reliability, monitoring/alerting, product health, and portability
CS degree + 2 years, or 4 years equivalent experience, or a CS master’s
Key skills include data engineering, data transformation/modeling, SQL, and ETL.
Big data/analytics concepts, automation techniques, and applying best practices to action plans.
Data value chains (ingestion → processing → storage → analysis → utilization), data quality frameworks/metrics, and governance practices.
SQL/NoSQL, distributed datastores, and understanding where enterprise data is held.
ETL and streaming patterns; data warehousing/MPP platforms (e.g., Snowflake, BigQuery, Presto, Azure); cloud/big data environments.
Dimensional modeling, ERDs, and related tooling (e.g., Erwin or equivalent); metadata management concepts.
Testing approaches (static/dynamic analysis, SCA, penetration testing as applicable), documentation, operational readiness, and production support.

Nice To Haves

advanced degree and/or 4+ years in data engineering/BI/analytics, plus experience building accessible digital products aligned to WCAG 2.2 AA.
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 join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

Drive end-to-end delivery of software and data products, making sound architectural decisions and ensuring reliability, security, and maintainability.
Identify options to address business problems using appropriate analytical/automation methods; demonstrate understanding of use cases, desired outcomes, and success measures.
Build relationships with key stakeholders; identify business needs; support business cases and recommendations; adapt to competing demands and organizational change.
Determine fit-for-purpose data sources across business systems; understand requirements/SLA priority; perform initial data quality checks on extracted data.
Build and maintain data pipelines using batch/streaming ingestion and integration techniques (e.g., ETL, APIs, crawlers/scrapers); apply preprocessing methods (normalization, feature extraction) as needed.
Contribute to conceptual/logical/physical data models (data lake/warehouse/marts); define relational structures (tables, keys, stored procedures); evaluate and improve existing models and data flows; address integration challenges.
Develop features using languages such as Java, Python, SQL, C++ (as applicable); create proofs of concept; write test cases; validate designs; deploy to production; maintain documentation and playbooks; provide timely status updates.
Support documentation and implementation of data governance practices, including privacy, security, retention, and ethical/regulatory requirements.
Apply data strategy principles to routine business problems; identify improvement opportunities; promote continuous learning and operational excellence.
Provide guidance to less experienced engineers; support training and enablement; contribute to an inclusive, accountable team culture.

Benefits

great compensation package
incentive awards for your performance
401(k) match
stock purchase plan
paid maternity and parental leave
PTO
multiple health plans
medical, vision and dental coverage
stock purchase
company-paid life insurance
family care leave
bereavement
jury duty
voting
short-term and long-term disability
company discounts
Military Leave Pay
adoption and surrogacy expense reimbursement
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.