Senior, Data Engineer

Posted Yesterday
2 Locations
Hybrid
90K-234K Annually
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Build and enhance scalable data pipelines and enterprise data products supporting international supply chain, fulfillment, finance, and global retail operations. Responsibilities include data integration, modeling, quality validation, governance, workflow orchestration, distributed processing, and stakeholder collaboration. The role also applies AI-assisted development, anomaly detection, intelligent pipeline optimization, metadata management, lineage tracking, and observability to improve data reliability and engineering productivity.
Summary Generated by Built In
Position Summary...

What you'll do...Be a part of our International Data Organization within Walmart’s Global Data Foundation, driving large-scale International Supply Chain data initiatives and enabling consistent, high-quality data to power critical business use cases across global markets. About Team:

International Data Organization, where we build and manage enterprise-scale data lakes that power all international markets. Our platform enables both in-market teams and home office associates to make smarter, faster decisions using accurate, up-to-date, and easily accessible data.
As part of our Data Engineering team, you will contribute to high-impact Single Source of Truth (SSOT) data products such as eComm Fulfillment 360, Store Fulfillment 360, and Omni Transaction 360. We design and deliver scalable data pipelines that drive key performance indicators across critical business domains, including Supply Chain, Fulfillment, and Finance.
This is a unique opportunity to work at the scale of a global retail leader, leveraging advanced data integration, modeling, and strategy to influence business outcomes and drive meaningful impact worldwide.
What you'll do:
  • Design, build, and enhance high-performance, reusable frameworks for data pipelines.
  • Develop and deploy cutting-edge solutions at scale, impacting millions of customers worldwide and driving value from data at enterprise scale.
  • Support International Supply Chain data applications while ensuring adherence to data quality and governance standards.
  • Collaborate with Walmart engineering teams across geographies to leverage expertise and contribute to the technical community.
  • Ensure data ingested and processed is accurate and of high quality by implementing robust data quality checks, validation, and data cleansing processes.
  • Analyze and translate business requirements into strategies, initiatives, and projects, aligning with business objectives and driving execution of deliverables.
  • Define and identify the most suitable data sources that are fit for purpose, incorporating external data sources when required.
  • Build scalable infrastructure for optimal transformation and integration across a wide variety of data sources using modern data integration technologies.
  • Utilize modern tools, techniques, and architectures to automate common, repeatable, and complex data preparation and integration tasks.
  • Collaborate effectively with team members to solve complex business problems and deliver impactful solutions.
  • Leverage AI-assisted development tools (e.g., code generation, automated debugging, and optimization tools) to accelerate data pipeline development and improve engineering productivity.
  • Utilize AI-driven data profiling and anomaly detection techniques to proactively identify data quality issues and improve data reliability.
  • Implement intelligent automation using AI/ML techniques to optimize data pipeline performance, resource utilization, and execution efficiency.
  • Apply AI-based approaches for metadata management, schema evolution, and data lineage tracking to enhance data discoverability and governance.
  • Use generative AI tools to accelerate documentation, code standardization, and knowledge sharing across data engineering teams.
  • Integrate AI-powered monitoring and observability solutions to detect pipeline failures, predict issues, and enable proactive remediation.
     
What you'll bring:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
  • 5+ years of hands-on experience building and delivering scalable data pipelines and big data solutions.
  • Strong expertise in managing and processing large-scale datasets (terabyte scale and beyond).
  • Proficiency in big data technologies such as Hadoop, Apache Spark, Apache Hive, and cloud platforms (GCP preferred, Azure or equivalent), with a focus on building optimized, fault-tolerant, and SLA-driven batch pipelines.
  • Strong programming skills in languages such as Scala and Python, with a proven ability to write clean, efficient, and production-ready code.
  • Experience designing and orchestrating idempotent workflows using tools like Apache Airflow or similar orchestration frameworks.
  • Advanced SQL skills to analyze, profile, and optimize large datasets, preferably using BigQuery, Spark SQL, or similar platforms.
  • Hands-on experience working with distributed messaging systems such as Kafka or equivalent streaming platforms.
  • Strong data modeling expertise to design scalable and flexible schemas that support evolving data sources and enable efficient data integration.
  • Ability to partner with business and technical stakeholders to gather requirements and translate them into scalable data solutions and pipelines.
  • Strong analytical and problem-solving skills, with the ability to identify, troubleshoot, and resolve complex data engineering challenges.
  • Ability to operate in a fast-paced environment, delivering high-quality outcomes with minimal ramp-up time.
  • Excellent communication and collaboration skills, with the ability to work effectively across cross-functional teams and global stakeholders.
  • Experience with AI-assisted development tools and techniques to enhance productivity, streamline development workflows, and accelerate solution delivery.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. 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.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Bentonville, Arkansas US-09050: The annual salary range for this position is $90,000.00 - $180,000.00
Sunnyvale, California US-04397: The annual salary range for this position is $117,000.00 - $234,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience in
software engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related
field.
2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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 3 years' experience in software engineering, We value candidates with a 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. The ideal candidate would have 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.

Primary Location...

805 Se Moberly Ln., Bentonville, AR 72712, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Skills Required

  • Bachelor's degree in Computer Science and 3 years of experience in software engineering or a related field; alternatively, 5 years of software engineering or related experience; or a master's degree in Computer Science and 1 year of related experience
  • At least 2 years of experience in data engineering, database engineering, business intelligence, or business analytics
  • Experience building scalable data pipelines and big data solutions
  • Experience managing and processing terabyte-scale datasets
  • Proficiency with Hadoop, Apache Spark, Apache Hive, and cloud platforms such as GCP, Azure, or equivalent
  • Strong programming skills in Scala and Python
  • Experience designing and orchestrating idempotent workflows using Apache Airflow or similar tools
  • Advanced SQL skills, preferably with BigQuery, Spark SQL, or similar platforms
  • Experience with distributed messaging systems such as Kafka or equivalent streaming platforms
  • Strong data modeling expertise and experience designing scalable schemas
  • Experience translating business and technical requirements into scalable data solutions
  • Strong analytical, problem-solving, communication, and collaboration skills
  • Experience with AI-assisted development tools and techniques
  • Experience with ETL tools and large cloud datasets
  • Master's degree in Computer Science or a related field and 3 years of software engineering experience
  • Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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