{"id":4291534,"url":"https://alion.io/job/amazon-data-engineer-ii-ame-outbound","title":"Data Engineer II, AME-Outbound","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":78,"open_postings":4651,"ghost_share":0.001,"stale_share":0.889,"repost_share":0.003,"time_to_fill_p50_days":31,"computed_at":"2026-11-12T10:38:37Z"}},"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":["Seattle, 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":"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":"2026-11-13T23:20:04Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T23:20:04Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Outbound Communication Services team is the backbone of Amazon’s customer communication, enabling seamless interactions through Email, SMS, and Push notifications. Our core mission is to ensure the reliable and prompt delivery of selected messages to our customers while also capturing real-time feedback from these communications to refine and optimize our strategies.\nDriven by a passion for developing scalable data infrastructures capable of handling billions of transactions and vast amounts of data, we are committed to continuously enhancing both our technical capabilities and the customer experience. \nAs a Data Engineer in our team, you will play a pivotal role in shaping the way Amazon connects with customers, impacting the interactions of not just the global Amazon community but also those closest to you.\nIn your role, you'll be at the forefront of reinforcing the technological framework that powers Amazon's direct engagement with its customers. Your expertise will drive the creation of resilient and scalable software solutions capable of managing immense data loads and supporting a high volume of transactions. This role offers a distinctive opportunity to make a profound impact on the customer experience, contribute to the architecture of large-scale distributed systems, and flourish within an innovative team committed to excellence in all operational aspects.\nKey job responsibilities\n- Design, develop, and maintain scalable, fault-tolerant data infrastructure for high-volume outbound communication channels.\n- Implement robust data flow solutions that integrate seamlessly with real-time messaging systems, ensuring data integrity and efficient processing.\n- Collaborate with software engineers to extract, transform, and load data from diverse sources, optimizing for performance and scalability.\n- Develop automation tools to enhance data availability, consistency, and compliance, aligning with Amazon's Best At Amazon (BAA) standards.\n- Drive continuous improvement in data infrastructure, exploring innovative technologies and methodologies to solve complex data challenges.\n- Work closely with stakeholders to understand data requirements, delivering solutions that enable data-driven decision-making and personalized customer experiences.\n- Mentor junior team members, fostering a culture of technical excellence, innovation, and collaboration.\nBasic qualifications\n- 3+ years of data engineering experience\n- 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience\n- 3+ years of in the job offered or a related occupation experience\n- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field\n- Experience with data modeling, warehousing and building ETL pipelines\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. 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