{"id":2796493,"url":"https://alion.io/job/amazon-data-engineer-amazon-ads","title":"Data Engineer, Amazon Ads","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":87,"open_postings":1872,"ghost_share":0,"stale_share":0.733,"repost_share":0.002,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Claude Code","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"Hadoop","optional":true},{"name":"JavaScript","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-03T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-18T06:09:28Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":137},"description":"This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.\nWhat we're building:\n- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products\n- Pipelines and models that turn raw data into decisions for greenfield products\n- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products\nThis is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.\nWe're looking for a senior Data Engineer who brings:\n- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale\n- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)\n- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision\n- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL\n- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them\n- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help\n- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows\n- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent\nKey job responsibilities\n- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer\n- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth\n- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer\n- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action\n- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org\n- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards\nBasic qualifications\n- 5+ years of data engineering experience\n- Experience with data modeling, warehousing and building ETL pipelines\n- Experience with SQL\n- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS\n- Experience mentoring team members on best practices\n- Do you use AI tools daily to increase productivity in everyday work?\nPreferred qualifications\n- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR\n- Experience operating large data warehouses\n- Do you have experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy?\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, NY, New York - 170,000.00 - 230,000.00 USD annually\nUSA, WA, SEATTLE - 154,600.00 - 209,100.00 USD annually","description_format":"text","description_chars":4821,"description_truncated":false,"requirements":{"experience_years_min":5,"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","Advertising","Logistics","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-17T23:34:52Z"}],"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":"2026-10-15T11:24:14+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":5,"band":"cold","label":"Long shot","p_open":1,"p_active":0.192,"p_room":0.28,"age_days":137,"expected_fill_days":15,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-18T07:18:12Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-data-engineer-amazon-ads","json_url":"https://alion.io/job/amazon-data-engineer-amazon-ads.json","meta":{"generated_at":"2026-10-18T07:18:12Z","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":10926,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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-amazon-ads"},{"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-amazon-ads"},{"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-amazon-ads"},{"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-amazon-ads\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-engineer-amazon-ads"}]}