{"id":3565972,"url":"https://alion.io/job/walmart-ind-staff-data-engineer","title":"(IND) 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":335,"ghost_share":0,"stale_share":0.113,"repost_share":0.003,"time_to_fill_p50_days":5,"computed_at":"2026-11-04T06:34:25Z"}},"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":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"SQL","optional":false},{"name":"Airflow","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AutoGen","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Dagster","optional":true},{"name":"Erwin","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Jenkins","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Looker","optional":true},{"name":"LookML","optional":true},{"name":"Machine Learning","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"React.js","optional":true},{"name":"Scala","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-29T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-05T00:43:00Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Position Summary...\nWe're looking for a Staff Data Engineer to own the pipelines, data models, and data platform decisions that power our business. This is a senior individual-contributor role - you won't manage people, but you'll be trusted to build, integrate, and harden production data infrastructure independently, review the work of engineers around you, and make architectural calls that hold up under scale.What you'll do...\nAbout Team\nGDF (Global Data Foundation) is part of Walmart's AI & Data organization - the team building the foundational data platforms that power AI, analytics, and decision-making across every Walmart banner and geography, from supply chain and merchandising to customer experience and enterprise AI agents. Our newly created platform team is chartered with building next-generation data infrastructure at Walmart scale: reliable, high-throughput data pipelines, distributed processing systems, and platform capabilities that downstream teams across Walmart depend on every day.\nWhat You'll Do\nProblem Formulation: Translate business problems into data-driven solutions, choosing the right methods and tools and explaining how they solve the problem.\nBusiness Context: Turn business requirements into concrete projects with clear ROI, acting as the bridge between business needs and technical solutions.\nData Source Identification: Identify and vet the best-fit internal/external data sources against SLAs and quality standards, and guide junior engineers on sourcing decisions.\nData Transformation & Integration: Design and automate ETL/ELT pipelines across diverse sources, deploy them via orchestration frameworks, and catch data-quality risks early.\nData Modeling: Build and maintain logical/physical data models across relational, dimensional, and NoSQL platforms, and set modeling standards the team can reuse.\nCode Development & Testing: Review designs and code, choose the right languages and testing approach, fix scalability issues, and keep production stable.\nData Governance: Establish and implement data-governance practices, interpret policy for the team, and keep documentation and standards current.\nData Strategy: Apply the org's data strategy to moderately complex, cross-functional business problems.\nSemantic Modeling & Enterprise Data Architecture\nLead the design of scalable conceptual, logical, and physical data models for operational, analytical, and AI/ML use cases.\nDefine and implement dimensional models - conformed dimensions, fact tables, SCD Type 1 and Type 2 patterns, snapshots, event models, and data-product contracts.\nDesign and maintain a governed semantic layer that standardizes business metrics, calculations, hierarchies, joins, definitions, and security policies across BI, self-service analytics, and AI applications.\nEstablish modeling standards for naming, grain, keys, lineage, audit columns, partitioning, clustering, retention, and data-quality controls.\nPartner with domain teams to translate business processes into reusable, certified datasets and semantic models.\nBuild and optimize transformation pipelines using SQL and modern data-engineering frameworks.\nEnable self-service analytics through certified metrics, reusable dimensions, governed views, and documentation.\nDrive data-governance practices including data classification, row- and column-level security, privacy controls, access patterns, metadata, and lineage.\nReview architecture and data-model designs, identify risks, and guide teams toward scalable, maintainable solutions.\nDefine quality and observability measures - reconciliation, freshness, completeness, metric consistency, and schema-change monitoring.\nMentor engineers and analysts in data modeling, semantic design, and engineering best practices.\nInfluence enterprise data architecture strategy and technology decisions across data platforms, BI tools, and AI applications.\nWhat you will bring :\n12+ years of professional data engineering experience (or equivalent demonstrated impact). Semantic and dimensional modeling expertise is a core, must-have requirement for this role - not a nice-to-have.\nDeep, hands-on expertise in dimensional data modeling - facts, dimensions, grain, surrogate keys, conformed dimensions, SCD Type 1/2 patterns, and snapshot modeling.\nProven track record designing and governing semantic models and certified metrics for BI and self-service analytics platforms, including modeling tools such as Erwin.\nExtensive experience building logical and physical data models across relational, dimensional, and NoSQL platforms, with modeling standards other engineers can reuse.\nStrong hands-on expertise in Python and SQL.\nProduction experience with Apache Spark, Apache Hive, and Scala for large-scale data processing.\nHands-on experience with Azure and Google BigQuery (GBQ) cloud data platforms.\nExperience building, deploying, and operating pipelines with orchestration frameworks (e.g., Airflow, Dagster, or equivalent).\nHands-on experience with Apache Kafka or equivalent for real-time streaming data pipelines.\nProven experience implementing data quality frameworks and ensuring compliance and data governance across the data lifecycle.\nDemonstrated ability to review and guide the work of other engineers, even without formal management authority.\nDemonstrated ability to lead cross-functional technical initiatives and influence senior engineering and business stakeholders.\nStrong stakeholder communication skills - comfortable translating business asks into technical solutions and back.\nExperience working with Agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen) to build autonomous or LLM-driven data workflows.\nWorking knowledge of CI/CD practices and automated deployment pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps).\nAdded Advantage & Preferred\nStrongly preferred: hands-on experience with semantic-layer or BI technologies such as Looker/LookML, Cube, AtScale, Power BI, or Tableau to deliver governed, certified metrics.\nExperience designing data products for AI, machine learning, agentic applications, or retrieval-based systems.\nExperience with healthcare, retail, financial, or other regulated data domains.\nExperience implementing privacy-aware data access patterns, including masking, policy tags, authorized views, and role- or attribute-based access controls.\nExperience with event-driven data, CDC pipelines, streaming platforms, or lakehouse architectures.\nFamiliarity with data catalog, lineage, observability, and data-quality platforms.\nWorking knowledge of Java or React.js - preferred.\nAbout Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.\nWe train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.\nWalmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.\nBenefits\nBeyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.\nBelonging\nWe aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.\nAt Walmart, our vision is \"everyone included.\" By fostering a workplace culture where everyone is-and feels-included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.\nEqual Opportunity Employer\nWalmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people.\nMinimum Qualifications...\nOutlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.\nMinimum Qualifications: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.Preferred Qualifications...\nOutlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.\nPrimary Location...\nBuilding 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India","description_format":"text","description_chars":9922,"description_truncated":false,"requirements":{"experience_years_min":12,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Marketplaces","Retail & Shop Systems","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-10-31T11:10:34Z"}],"visa":[],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.807,"p_room":0.55,"age_days":6,"expected_fill_days":5,"reasons":["conf:3","velocity","win:tail","comp:brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":null,"html_url":"https://alion.io/job/walmart-ind-staff-data-engineer","json_url":"https://alion.io/job/walmart-ind-staff-data-engineer.json","meta":{"generated_at":"2026-11-05T02:49:47Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3773,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":236},"rest":"https://alion.io/mcp/rest/get_company?id=236"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwalmart-ind-staff-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwalmart-ind-staff-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwalmart-ind-staff-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/walmart-ind-staff-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalmart-ind-staff-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3565972}},{"tool":"search_jobs","arguments":{"company":"walmart.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3565972},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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