{"id":4318821,"url":"https://alion.io/job/walmart-usa-staff-data-engineer-5","title":"(USA) Staff, Data Engineer","company":{"id":236,"name":"Walmart","domain":"walmart.com","url":"https://alion.io/company/walmart","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":349,"ghost_share":0,"stale_share":0.117,"repost_share":0.003,"time_to_fill_p50_days":5,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sunnyvale, United States","Bentonville, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":143000,"max":286000,"currency":"USD","period":"year","gross":null,"usd_annual":286000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"GCP","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"ETL/ELT","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T18:02:29Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Position Summary...\nRole summary: The (USA) Staff, Data Engineer will design, develop, and maintain scalable data infrastructure and pipelines to support business analytics and decision-making. This role requires translating complex business requirements into effective data solutions while ensuring data quality, governance, and compliance with regulatory standards. The position involves collaborating across multiple domains to optimize data integration, storage, and transformation using modern cloud and big data technologies. The successful candidate will drive innovation in data architecture and automation, enabling actionable insights that align with organizational strategies and operational goals. About the team: The Global Data Foundation (GDF) team is committed to managing and delivering high-quality data assets by establishing standards and ensuring policy compliance. The team builds scalable, cloud-native data pipelines and self-service tools that enable effective data utilization to support business growth and innovation. Applying advanced data architecture and engineering principles, the team focuses on solving complex challenges through collaboration and continuous improvement. Their work drives long-term business objectives by providing reliable, strategic data solutions that empower stakeholders across the organization.What you'll do...\nWhat you'll do:Design, develop, maintain, and optimize scalable data pipelines and architectures to support business analytics and reporting needs.\nCollaborate with cross-functional teams to translate business requirements into effective data engineering solutions.\nImplement data governance practices ensuring data quality, security, and compliance with regulatory standards.\nDesign and build data models and storage solutions across cloud platforms, leveraging tools such as Apache Spark and Google Cloud Dataproc.\nAutomate data ingestion, transformation, and integration processes using orchestration frameworks like Apache Airflow.\nMonitor and troubleshoot data infrastructure performance and reliability to ensure continuous availability.\nProvide technical guidance and mentorship to junior team members on data engineering best practices.\nWhat you'll bring:\nProven expertise in data engineering, including data ingestion, transformation, and pipeline development using tools such as Apache Airflow and Apache Spark.\nStrong proficiency in query languages like SQL and experience with data storage solutions including data lakes and warehouses.\nExperience with cloud platforms, particularly Google Cloud Dataproc, and implementing scalable data architectures.\nKnowledge of data governance principles, data quality frameworks, and regulatory compliance related to data privacy and security.\nAbility to translate complex business requirements into technical solutions aligned with organizational strategy.\nSkilled in Python programming and DevOps practices to support data infrastructure and automation.\nAt 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.\nYou 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.\nFor information about PTO, see https://one.walmart.com/notices.\nLive 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. \nEligibility 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. \nFor information about benefits and eligibility, see One.Walmart.\nSunnyvale, California US-11807: The annual salary range for this position is $143,000.00 - $286,000.00\nBentonville, Arkansas US-09158: The annual salary range for this position is $110,000.00 - $220,000.00\nAdditional compensation includes annual or quarterly performance bonuses.\nAdditional compensation for certain positions may also include : \n- Stock\nㅤ\nㅤ\nㅤ\nㅤ\n\nMinimum Qualifications...\nOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.\nOption 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.\nPreferred Qualifications...\nOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.\nData 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, 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...\n815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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. 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