{"id":4318820,"url":"https://alion.io/job/walmart-usa-senior-data-engineer-2","title":"(USA) Senior, 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":"senior","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":117000,"max":234000,"currency":"USD","period":"year","gross":null,"usd_annual":234000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"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: Join Walmart as a Senior Data Engineer and leverage your expertise in data integration, modeling, and pipeline development to support scalable data solutions. 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 dedicated to managing and delivering high-quality data assets by establishing standards and ensuring policy compliance. The team develops scalable, cloud-native data pipelines and self-service tools that enhance data utilization to support business growth and innovation. Applying advanced data architecture and engineering principles, the team addresses complex challenges through collaboration and continuous improvement. Their efforts provide reliable, strategic data solutions that empower stakeholders across the organization and drive long-term business objectives.What you'll do...\nWhat you'll do:Design, develop, and maintain scalable data pipelines and infrastructure to support business analytics and reporting needs.\nIntegrate and transform data from internal and external sources using ETL and streaming techniques.\nDevelop and optimize data models, ensuring data quality, governance, and compliance with organizational standards.\nCollaborate with cross-functional teams to translate business requirements into technical solutions.\nImplement and monitor data ingestion processes leveraging cloud platforms and big data technologies.\nWrite, test, and deploy efficient code using SQL, Python, and Apache Spark.\nSupport continuous improvement by identifying opportunities to enhance data systems and workflows.\nWhat you'll bring:\nExtensive experience in data engineering, including data integration, modeling, and pipeline development.\nProficiency in SQL, Python, Apache Spark, and Apache Airflow for building scalable data solutions.\nStrong knowledge of data governance, data quality standards, and data management practices.\nExpertise in cloud platforms such as Google Cloud Dataproc, BigQuery, and Databricks environments.\nAbility to design and optimize data warehouses, data lakes, and enterprise data platforms.\nSkilled in transforming business requirements into effective data architectures and solutions.\nExperience with DevOps practices to support data infrastructure deployment and maintenance.\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 $117,000.00 - $234,000.00\nBentonville, Arkansas US-09158: The annual salary range for this position is $90,000.00 - $180,000.00\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 3 years' experience in software engineering or related field. Option 2: 5 years’ experience insoftware engineering or related field. Option 3: Master's degree in Computer Science and 1 year’s experience in software engineering or related\nfield.\n2 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 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...\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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