{"id":630892,"url":"https://alion.io/job/walt-disney-company-sr-data-engineer-2","title":"Sr Data Engineer","company":{"id":4283,"name":"Walt Disney Company","domain":"disney.com","url":"https://alion.io/company/walt-disney-company","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":88,"ghost_share":0,"stale_share":0.648,"repost_share":0.045,"time_to_fill_p50_days":18,"computed_at":"2026-10-21T05:46:15Z"}},"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":"structured","locations":["Seattle, United States","Glendale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":138900,"max":186200,"currency":"USD","period":"year","gross":null,"usd_annual":186200},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Dagster","optional":false},{"name":"FAISS","optional":false},{"name":"Feature Store","optional":false},{"name":"Flink","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Weaviate","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"Databricks","optional":true},{"name":"Datadog","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-09-02T00:00:00Z","employer_posted_date":"2026-09-02","last_verified_at":"2026-10-21T18:42:40Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Job Posting Title:\nSr Data EngineerReq ID:\n10143797Job Description:\nDisney Entertainment and ESPN Product & Technology\nTechnology is at the heart of Disney’s past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney’s media business globally.\nThe team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world.\nHere are a few reasons why we think you’d love working here:\nBuilding the future of Disney’s media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.\nReach, Scale & Impact: More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally. \nInnovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.\nAd Platforms is responsible for Disney’s industry-leading ad technology and products - driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.\nJob Summary\nThe Ads Data team, part of Disney's Ad Platforms organization, is on a mission to transform the advertising landscape across TV and streaming video through the power of data and AI. We design and build innovative solutions that measure and optimize the entire advertising lifecycle - from planning and activation to measurement and insights.\nAt the heart of our work is a highly collaborative, cross-functional team that delivers end-to-end solutions across a wide spectrum of technologies, including machine learning, big data, microservices, and data visualization.\nWe are hiring a Senior Data Engineer to design, build, and scale the data foundations that power AI adoption across Ad Technology. In this role, you will own how data flows into AI ready and optimized stores, from streaming pipelines and embedding pipelines to vector stores and monitoring systems.\nYou’ll partner closely with the AI Core Engineering team to enable shared agents, registries, and developer tools with robust, reliable, real-time data. As a Senior Engineer, you will design and implement robust data engineering solutions, mentor junior team members, and build resilient pipelines that support high-profile AI applications. You will play a key role in developing reliable, real-time data foundations, enabling faster and safer deployments across Disney Ad Tech.\nThis role is ideal for someone who combines strong technical expertise with a passion for leadership, system design, and delivering real business impact through data platforms. If you thrive in a fast-paced, highly collaborative environment and are excited about building the foundation for the future of advertising, we’d love to hear from you.\nResponsibilities and Duties of the Role:\nData Architecture & Pipeline Development\nBuild and maintain high-performance streaming and batch data pipelines that power AI applications, ensuring reliable low-latency ingestion and high-throughput processing.\nImplement and extend embedding generation workflows, vector store integrations, and retrieval pipelines supporting semantic search, RAG systems, and AI assistants.\nDevelop and optimize scalable storage and retrieval patterns, focusing on cost-efficient architecture and smooth production performance.\nAI Data Foundations & Integration\nImplement AI-optimized data models and storage patterns that align with broader enterprise architecture and platform requirements.\nIntegrate pipelines with shared AI platform services (agent frameworks, registries, feature stores), ensuring clean, versioned, and reliable data delivery.\nBuild reusable ingestion, transformation, and data processing components that streamline adoption across engineering teams.\nMonitoring, Quality & Reliability\nEmbed end-to-end observability into data systems, including metrics, structured logging, automated alerts, drift detection, and failure analysis.\nImplement robust data quality validation, schema evolution safeguards, and governance/compliance controls.\nEnsure deployed pipelines meet high standards for reliability, recoverability, auditability, and long-term maintenance.\nExecution, Collaboration & Leadership\nDrive execution by owning the full development lifecycle: prototyping, implementation, testing, deployment, optimization, and documentation.\nCollaborate closely with infrastructure, ML engineering, product, and governance teams to deliver production-ready AI capabilities.\nLead by example through strong execution, high-quality code, and proactive problem solving.\nInfluence design direction through technical proposals and hands-on delivery rather than formal ownership of standards.\nRequired Education, Experience/Skills/Training:\nBasic Qualifications\n5+ years of data engineering experience, with at least 1 year in a lead or senior technical role.\nExperience building and scaling streaming data pipelines in large-scale, distributed environments.\nStrong skills in Python, Java and SQL with expert level skill in either Python or Java.\nProven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis).\nExperience with embedding pipelines and vector stores (e.g., Pinecone, Weaviate, FAISS, pgvector).\nStrong knowledge of data modeling, storage optimization, and retrieval patterns for large-scale systems.\nHands-on experience with workflow orchestration tools (Airflow, Dagster, etc.).\nStrong collaboration and communication skills, able to partner across AI engineering, infra, and product teams.\nFamiliarity with testing, monitoring, and automation for data pipelines.\nPreferred Qualifications\nExperience integrating AI-ready data stores with LLM orchestration frameworks (LangChain, LangGraph, etc.).\nKnowledge of observability and monitoring stacks (Datadog, Prometheus, or equivalent).\nBackground in governance and compliance practices for enterprise data platforms.\nExperience building data frameworks, registries, or accelerators adopted by multiple teams.\nExperience ensuring data security, lineage, and auditability in enterprise data environments\nSkilled at writing design documentation, driving system architecture reviews, and influencing data engineering culture.\nExperience with:\nPython, Java, Databricks, LangChain, Vector Stores(Pinecone, Weaviate, FAISS, pgvector), SQL, AWS big data tech stack (like S3, Glue, MWAA)\nRequired Education\nBachelor or above in computer science or a related quantitative field; or equivalent practical experience demonstrating advanced technical expertise\nThe hiring range for this position in Glendale, CA is $138,900 - $186,200 per year, in San Francisco, CA is $$152,100 - $203,900 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.Job Posting Segment:\nAd PlatformsJob Posting Primary Business:\nAP - EngineeringPrimary Job Posting Category:\nData EngineeringEmployment Type:\nFull timePrimary City, State, Region, Postal Code:\nSeattle, WA, USAAlternate City, State, Region, Postal Code:\nUSA - CA - 1200 Grand Central AveDate Posted:\n2026-03-06","description_format":"text","description_chars":8210,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":1,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Film Production","Animation","Theme Parks & Attractions","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-10T19:14:26Z"}],"visa":[],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":1,"p_active":0.397,"p_room":0.28,"age_days":49,"expected_fill_days":18,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":186200,"is_top_pay":true},"html_url":"https://alion.io/job/walt-disney-company-sr-data-engineer-2","json_url":"https://alion.io/job/walt-disney-company-sr-data-engineer-2.json","meta":{"generated_at":"2026-10-21T22:22:24Z","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":31876,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":4283},"rest":"https://alion.io/mcp/rest/get_company?id=4283"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwalt-disney-company-sr-data-engineer-2"},{"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%2Fwalt-disney-company-sr-data-engineer-2"},{"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%2Fwalt-disney-company-sr-data-engineer-2"},{"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/walt-disney-company-sr-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwalt-disney-company-sr-data-engineer-2"}]}