{"id":3458184,"url":"https://alion.io/job/amazon-data-engineer-i-fire-tv","title":"Data Engineer I, Fire TV","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"1-10","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"B","score":78,"open_postings":4550,"ghost_share":0,"stale_share":0.89,"repost_share":0.002,"time_to_fill_p50_days":26,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":101300,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Hadoop","optional":true},{"name":"IAM","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-25T00:00:00Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-04T15:08:15Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Fire TV, Advertising and Appstore is reshaping the way millions of people discover, engage with, and enjoy entertainment every day. The FAA Decision Science organization is looking for a Data Engineer who is excited to build the data infrastructure powering analytics, experimentation, forecasting, and business decision-making for one of Amazon's fastest-growing product families. \nThis is an excellent opportunity for an engineer who is early in their career and eager to develop strong data engineering fundamentals in a high-impact environment. You will contribute to foundational data systems used by Data Science, Business Intelligence, Product, Finance, Advertising, and Engineering teams to make high-quality business decisions. \nYou will build and operate data pipelines, data models, and data quality mechanisms supporting Fire TV engagement, lifecycle analytics, Ads monetization, Appstore performance, executive reporting, experimentation, and AI-enabled analytics. The ideal candidate has solid technical foundations, a willingness to learn, an eye for operational reliability, and the ability to work effectively with cross-functional teammates to translate requirements into working data solutions. \nKey job responsibilities\nContribute to the design, development, testing, and deployment of data pipelines and datasets within a defined domain, including the data foundations for GenAI and agentic analytics, working alongside senior engineers \nBuild and maintain ETL/ELT workflows using SQL, Python, and AWS services \nSupport data infrastructure operations, including monitoring, alerting, and data quality controls \nInvestigate and resolve data quality issues, escalating complex problems or architectural trade-offs when appropriate \nPartner with Data Science, Business Intelligence, Product, and Engineering stakeholders to understand requirements and implement reliable data solutions \nContribute to conversational and self-service analytics data products \nSupport compliance, privacy, retention, and governance requirements for data you own or contribute to \nClearly document your solutions to ensure ease of use and maintainability by others \nParticipate in code reviews, design discussions, and team planning \nParticipate in on-call and product support for business-critical pipelines and datasets \nBuild and curate datasets and documentation that AI assisted analytics tools consume \nUse AI-assisted development tools to accelerate how you build, test, and debug pipelines\nBasic qualifications\n- 1+ years of data engineering experience\n- Experience with data modeling, warehousing and building ETL pipelines\n- Experience with SQL\n- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)\n- Experience with one or more scripting language (e.g., Python, KornShell)\n- Knowledge of database, data warehouse, or data lake solutions\nPreferred qualifications\n- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR\n- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model\n- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\n- Experience with privacy, compliance, retention, or data governance programs\n- Experience using AI to accelerate development work\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, WA, Seattle - 101,300.00 - 160,000.00 USD annually","description_format":"text","description_chars":4704,"description_truncated":false,"requirements":{"experience_years_min":1,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Robotics AI","Logistics & Warehouse Robotics","Video Production","Developer Tools"],"lifecycle":[{"event":"open","at":"2026-10-29T12:48:32Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1907}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.297,"p_room":0.28,"age_days":71,"expected_fill_days":26,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-data-engineer-i-fire-tv","json_url":"https://alion.io/job/amazon-data-engineer-i-fire-tv.json","meta":{"generated_at":"2026-11-04T17:48:48Z","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":27316,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"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":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-data-engineer-i-fire-tv"},{"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%2Famazon-data-engineer-i-fire-tv"},{"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%2Famazon-data-engineer-i-fire-tv"},{"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/amazon-data-engineer-i-fire-tv\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-engineer-i-fire-tv"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3458184}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3458184},"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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