{"id":2773832,"url":"https://alion.io/job/amazon-data-engineer-marketing-insights-and-technology","title":"Data Engineer, Marketing Insights and Technology","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":"B","score":83,"open_postings":4410,"ghost_share":0,"stale_share":0.889,"repost_share":0.001,"time_to_fill_p50_days":16,"computed_at":"2026-10-20T05:45:00Z"}},"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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":111400,"max":185000,"currency":"USD","period":"year","gross":null,"usd_annual":185000},"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agentic Workflows","optional":false},{"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":"Hadoop","optional":true},{"name":"IAM","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-06-15T00:00:00Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-20T05:13:29Z","board_verified":true,"closed_at":null,"days_open":127,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":127},"description":"Amazon Advertising is one of Amazon's fastest-growing businesses. The Marketing Insights and Technology (MINT) team builds the data infrastructure that powers advertising insights used by Amazon's global sales organization and advertisers. Our insights help advertisers - from the largest global brands to small businesses - understand their audiences, optimize their marketing spend, and drive awareness, consideration, and purchase of their products across Amazon, Prime Video, Twitch, and beyond. Our data pipelines also feed agentic workflows that serve insights to advertisers and sales teams at scale.\nWe are looking for highly motivated data engineers to design, develop, and maintain data pipelines that serve the needs of our large and growing advertiser base. You'll build systems that ensure timely, accurate, and trustworthy insight delivery - directly impacting thousands of users and billions in advertising spend. You'll work alongside senior engineers, scientists, and product managers in a fast-paced environment where data quality and reliability are first-class priorities.\nKey job responsibilities\n- Own the development and maintenance of data integration, data pipelines and data lake solutions\n- Implement scalable data models for serving data needs of analytics, business intelligence, engineering, and agentic workflows\n- Collaborate with top-notch, multi-disciplinary technical professionals (e.g., Software Development Engineers, Data Engineers, and Product Managers) to deliver on behalf of customers\n- Use your expertise to improve existing data pipelines running in Amazon data platform solutions Datanet/Cradle and AWS compute (Glue, EMR, Airflow)\n- Actively contribute to team's documentation of data artifacts and learning\n- Use introspection and feedback from teammates and peers to raise the bar for your team\n- Be an example of Amazon's leadership principles and work to grow peers within your group\nAbout the team\nMINT builds foundational datasets and data services that power Amazon Advertising's insights platform (IHub). We own 300+ datasets with established data contracts, and operate a Data Quality, Transparency and Trust program ensuring our insights are accurate, timely, and explainable. Our infrastructure integrates with Ads platform systems and supports sales-facing experiences\nBasic qualifications\n- 1+ years of data engineering experience\n- Experience with data modeling, warehousing and building ETL pipelines\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)\nPreferred qualifications\n- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR\n- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\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 - 111,400.00 - 185,000.00 USD annually","description_format":"text","description_chars":4196,"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","Advertising","Logistics","Logistics & Warehouse Robotics"],"lifecycle":[{"event":"open","at":"2026-10-17T07:29:57Z"}],"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":1,"band":"cold","label":"Long shot","p_open":1,"p_active":0.05,"p_room":0.28,"age_days":127,"expected_fill_days":16,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:junior,brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":185000,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-data-engineer-marketing-insights-and-technology","json_url":"https://alion.io/job/amazon-data-engineer-marketing-insights-and-technology.json","meta":{"generated_at":"2026-10-20T06:21:39Z","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":6817,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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-marketing-insights-and-technology"},{"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-marketing-insights-and-technology"},{"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-marketing-insights-and-technology"},{"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-marketing-insights-and-technology\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-engineer-marketing-insights-and-technology"}]}