{"id":3195846,"url":"https://alion.io/job/amazon-data-engineer-ii-nasc-data-engineering","title":"Data Engineer II, NASC Data Engineering","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":4528,"ghost_share":0,"stale_share":0.89,"repost_share":0.002,"time_to_fill_p50_days":22,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bellevue, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":132100,"max":178800,"currency":"USD","period":"year","gross":null,"usd_annual":178800},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"IAM","optional":true}],"status":"live","first_seen_at":"2026-10-24T04:47:01Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-28T10:50:51Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Looking for your next challenge? North America Sort Centers (NASC) are experiencing explosive growth and looking for a skilled, highly motivated engineers to join the NASC SPEeD (Sortation Products Engineering and Data) team. The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network. The SPEeD team is expected to build scalable solutions to address increasing operational complexity from the evolution of new processes such as containerization, heavy-bulky freight, international shipping, customer returns, and Amazon Robotics solutions. We need to continuously innovate on behalf of our customers and develop new platforms and new science-based planning tools to efficiently match processing supply to logistics demand. \nOur mission is to build the most efficient and optimal sort center solution on the planet, using our technology and engineering as our biggest advantage. We aim to leverage cutting edge technologies in big data, machine learning, and optimization techniques, and operate high volume, low latency, and high availability services. Come and see for yourself why we are one of the most admired company in the US, rated #1 in Innovation and # 1 in Customer Service, and be part of our tradition of working hard, having fun and making history!\nThis is an entirely new initiative and great development opportunity which gives you the ability to come and shape our destiny! You will build new services and experiences and will work with new technologies that improve usability and increase performance and scalability. You will have an opportunity to work with a wide range of teams and services across Amazon. Also, you will have an opportunity to get guidance from principal product managers and senior engineers to help with your professional growth and development.\nWe prefer engineers who can thrive in a fast paced, high energy and fun work environment where we deliver value incrementally and frequently.\nA day in the life\nAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. \nThe benefits that generally apply to regular, full-time employees include: \n- Medical, Dental, and Vision Coverage \n- Maternity and Parental Leave Options \n- Paid Time Off (PTO) \n- 401(k) Plan \nIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! \nAt Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!\nBasic qualifications\n- 3+ years of data engineering experience\n- Experience with data modeling, warehousing and building ETL pipelines\n- Bachelor's degree\nPreferred qualifications\n- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions\n- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)\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, Bellevue - 132,100.00 - 178,800.00 USD annually","description_format":"text","description_chars":4745,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"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":"2026-10-24T04:47:01Z"}],"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":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":22,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-28T05:59:10Z"},"pay":{"stated_usd_annual":178800,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-data-engineer-ii-nasc-data-engineering","json_url":"https://alion.io/job/amazon-data-engineer-ii-nasc-data-engineering.json","meta":{"generated_at":"2026-10-28T13:24:59Z","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":18064,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-29T00:00:00Z"}},"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-ii-nasc-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%2Famazon-data-engineer-ii-nasc-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%2Famazon-data-engineer-ii-nasc-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/amazon-data-engineer-ii-nasc-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-engineer-ii-nasc-data-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3195846}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3195846},"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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