{"id":510984,"url":"https://alion.io/job/glance-lv-sde-iii-data-engineering","title":"SDE III - Data Engineering","company":{"id":59385,"name":"Glance","domain":"glance.com","url":"https://alion.io/company/glance-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":31,"ghost_share":0.355,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"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":18500,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"LLM","optional":true},{"name":"Multimodal AI","optional":true}],"status":"live","first_seen_at":"2026-07-27T06:35:58Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-01T13:35:23Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":96},"description":"Glance\nGlance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV - shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.\nInMobi \nInMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses - including InMobi Advertising and flagship consumer platform Glance - InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.\nInMobi Advertising\nInMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach - including flagship consumer platform Glance - InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.\nSDE-3 - Data Engineering and Capabilities Team \nAbout the Team \nAt Glance, we are building a first-of-its-kind generative AI-powered commerce platform that transforms how users discover and shop across mobile surfaces, TV, and brand stores. \nThe Data Engineering & Capabilities Team is responsible for building the intelligence backbone that powers personalization, recommendations, multimodal search, experimentation, analytics, and AI-driven commerce experiences. We bring together data from affiliate feeds, OEM integrations, commerce catalogs, user interactions, and transaction systems to create trusted, scalable, and ML-ready data products. \nAs an SDE-3 Data Engineer, you will play a key role in building and scaling the foundational data systems that power Glance's next generation of AI products. \nRole Overview \nWe are looking for a highly skilled and hands-on Data Engineer to own the design, development, and operation of large-scale data platforms and capabilities. \nYou will work closely with Applied Scientists, ML Engineers, Product Managers, Analytics teams, and Platform Engineers to build reliable data pipelines, feature stores, identity systems, catalog infrastructure, and self-service capabilities that accelerate experimentation and machine learning development. \nYou will be expected to independently drive complex technical initiatives from design through production while maintaining high standards of quality, scalability, and operational excellence. \nKey Responsibilities \nData Platform Development \nDesign and build scalable batch and real-time data pipelines using Spark, Flink, Kafka, and Airflow. \nDevelop data products that support analytics, experimentation, recommendation systems, personalization, and AI applications. \nBuild and maintain highly reliable ETL/ELT frameworks processing billions of events and catalog updates. \nUser Data Platform \nDevelop systems for user identity resolution and cross-surface signal aggregation across Mobile, TV, OEM, and Commerce ecosystems. \nBuild datasets and services that support user profiling, audience creation, segmentation, and personalization. \nContribute to deterministic and probabilistic identity stitching frameworks. \nCommerce Catalog Platform \nBuild ingestion and enrichment pipelines for affiliate feeds, merchant catalogs, D2C integrations, and product metadata. \nDesign scalable schemas and taxonomy frameworks for large and evolving commerce catalogs. \nDevelop catalog quality, deduplication, normalization, and enrichment systems. \nFeature Store & ML Enablement \nBuild reusable feature generation frameworks for ML and recommendation systems. \nCreate low-latency feature pipelines serving training and online inference workloads. \nPartner with Applied Scientists to improve feature discoverability, governance, and reusability. \nAI-Powered Engineering Capabilities \nDevelop internal AI-powered tools, agents, and self-service platforms that improve developer productivity. \nBuild solutions for: \nPipeline debugging \nData quality triage \nSQL generation and optimization \nMetadata discovery \nSchema change analysis \nCost optimization recommendations \nReliability & Operational Excellence \nOwn production services and pipelines with strong SLAs. \nBuild observability into every layer through monitoring, lineage, alerting, reconciliation, and quality checks. \nParticipate in incident response, root-cause analysis, and operational reviews. \nContinuously improve platform reliability, performance, and cost efficiency. \nTechnical Leadership \nLead architecture and design discussions for critical platform components. \nDrive engineering best practices around code quality, testing, documentation, CI/CD, and infrastructure management. \nMentor junior engineers and contribute to raising the technical bar across the organization. \nImpact You Will Make \nAccelerate AI Innovation - You will enable faster experimentation and model deployment by building trusted, reusable data assets and feature pipelines. \nPower Personalized Experiences - Your systems will help create a unified understanding of users across multiple surfaces, enabling highly personalized commerce experiences. \nImprove Platform Reliability - You will build observability-first infrastructure that ensures data quality, lineage, and trust across the ecosystem. \nScale Commerce Intelligence - Your work will transform fragmented commerce and engagement signals into a strategic advantage for Glance's AI-powered commerce platform. \nIncrease Engineering Velocity - Through automation, self-service capabilities, and AI-assisted workflows, you will reduce operational overhead and accelerate development cycles. \nExperience & Requirements \nRequired Qualifications \nExperience \n6-10 years of experience in Data Engineering, Distributed Systems, or Data Platform development. \nStrong experience owning large-scale production systems end-to-end. \nData Engineering Expertise: Strong hands-on experience with: \nApache Spark \nKafka \nFlink \nAirflow \nDistributed Data Processing \nBatch and Streaming Architectures \nData Modeling \nStrong understanding of dimensional modeling, data warehousing, and large-scale schema design. \nExperience managing complex datasets and evolving schemas. \nData Quality & Observability \nExperience with: \nData validation frameworks \nLineage systems \nMonitoring and alerting \nReconciliation pipelines \nCI/CD for data systems \nCloud & Platform Engineering \nExperience with: \nGCP \nDatabricks \nBigQuery \nInfrastructure as Code \nCluster management \nPerformance tuning and cost optimization \nSoftware Engineering \nStrong programming skills in: \nPython \nScala or Java \nSQL \nStrong understanding of: \nSystem design \nDistributed systems \nPerformance optimization \nReliability engineering \nPreferred Qualifications \nCommerce Domain Experience \nExperience working with: \nProduct catalogs \nAffiliate commerce platforms \nMerchant feeds \nSearch and recommendation systems \nIdentity & Personalization \nExperience with: \nIdentity resolution \nAudience platforms \nCustomer 360 systems \nUser profiling and segmentation \nFeature Stores & ML Platforms \nExperience building: \nFeature stores \nTraining data pipelines \nReal-time inference data systems \nMLOps infrastructure \nAI-Assisted Engineering \nExposure to: \nLLM-powered developer tools \nAgents and copilots \nMetadata intelligence systems \nAutomated debugging and remediation workflows \nWhat Success Looks Like in 12 Months \nBuilt and scaled multiple production-grade pipelines powering personalization and commerce intelligence. \nReduced data quality incidents through automated observability and reconciliation frameworks. \nDelivered reusable feature generation capabilities adopted by Applied Science teams. \nImproved platform efficiency through workload optimization and infrastructure cost reduction. \nDeveloped self-service capabilities that significantly improve productivity for data consumers and ML teams. \nBecome a go-to technical leader for large-scale data platform initiatives. \nWhat This Role Is Not \nNot a pure ETL developer role focused only on pipeline implementation. \nNot a pure platform operations role. \nNot a people-management role. \nThis is a senior hands-on engineering role where you will design, build, operate, and influence the core data infrastructure that powers Glance's AI and commerce ecosystem. You are expected to own critical systems, drive technical decisions, and deliver business impact through engineering excellence. \n\"Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email.\"","description_format":"text","description_chars":9598,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commerce","Digital Media","Social Commerce"],"lifecycle":[{"event":"open","at":"2026-09-07T14:53:01Z"}],"visa":[],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":1,"p_active":0.471,"p_room":0.28,"age_days":96,"expected_fill_days":38,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":null,"html_url":"https://alion.io/job/glance-lv-sde-iii-data-engineering","json_url":"https://alion.io/job/glance-lv-sde-iii-data-engineering.json","meta":{"generated_at":"2026-11-01T16:05:03Z","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":24721,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":59385},"rest":"https://alion.io/mcp/rest/get_company?id=59385"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fglance-lv-sde-iii-data-engineering"},{"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%2Fglance-lv-sde-iii-data-engineering"},{"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%2Fglance-lv-sde-iii-data-engineering"},{"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/glance-lv-sde-iii-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fglance-lv-sde-iii-data-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":510984}},{"tool":"search_jobs","arguments":{"company":"glance.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":510984},"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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