{"id":1283157,"url":"https://alion.io/job/amazon-data-engineer-ii-ringblink-customer-service-engineering-and-insights","title":"Data Engineer II, Ring/Blink Customer Service Engineering and Insights","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":["Hawthorne, 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":"Amazon EC2","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Amazon Kinesis","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS Glue","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-10-28T10:50:51Z","board_verified":true,"closed_at":null,"days_open":33,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":33},"description":"We are seeking a Data Engineer to join our Customer Service Engineering and Insights team at Ring & Blink. This role owns the data platform foundations that enable analytics, AI initiatives, and future data-driven capabilities across the organization. You will operate and evolve ETL pipelines and AWS data infrastructure, ensuring data is secure, reliable, compliant, and ready for downstream consumption.\nThis role is hands-on and execution-focused, with strong emphasis on orchestration reliability, and pipeline quality. You will work closely with BI Engineers, Technical Architects, Salesforce System Developers, and platform partners to translate architecture into production-ready systems.\nThe role requires a high degree of ownership and self-sufficiency. The ideal candidate is comfortable independently exploring existing systems, quickly diagnosing issues, and driving improvements from problem definition through production. You will be expected to move fast in a dynamic environment, proactively identify opportunities to improve platform reliability and maintainability, and remove technical roadblocks to keep delivery moving. \nKey job responsibilities\nOwn and operate ETL pipelines and data infrastructure that provide data readiness for analytics, AI initiatives, and other downstream use cases\nImplement, maintain, and own data access and data-related permissions across AWS accounts, including IAM roles, trust relationships, and permissions for Athena, Redshift, and related services; debug and resolve IAM, Lake Formation, and cross-account data access issues, and coordinate with partner teams when broader AWS issues impact data pipelines\nServe as the primary operational owner of the existing Airflow orchestration layer, focusing on execution monitoring, failure triage, alerting, SLA adherence, and pipeline reliability, while enabling BI Engineers to troubleshoot and contribute as needed\nDevelop, operate, and support Python-based ETL jobs, including Airflow-executed Python tasks and jobs running on EC2 or other managed compute, ensuring reliability, observability, and maintainability through established engineering best practices\nLead the identification and reduction of technical debt across ETL pipelines and orchestration, including evaluating job dependencies, brittle workflows, and re-run/backfill patterns, and driving incremental improvements in partnership with the team as the platform stabilizes\nOwn data pipeline design considerations related to legal, security, and compliance requirements, including evaluating existing data retention and access-control implementations and redesigning or refactoring pipeline logic as needed to address gaps and ensure ongoing compliance with approved governance standards\nPartner with BI Engineers to ensure data outputs are consistent, validated, and ready for consumption, without owning business metrics or dashboards\nCreate and maintain runbooks, operational documentation, and standards to support long-term scalability, knowledge transfer, and on-call readiness\nProactively identify risks and improvement opportunities, and independently drive scoped initiatives from investigation through production, escalating architectural concerns when appropriate A day in the life You triage failed Airflow pipelines, debug cross-account IAM and Lake Formation issues, and refactor Python ETL jobs to reduce technical debt. You sync with BI Engineers on data requirements, update runbooks for operational clarity, and review pull requests. You monitor SLAs, ensure compliance with data governance standards, and hand off issues to on-call with clear context. About the team The Ring/Blink Customer Service Engineering and Insights team owns the technical side of customer service, the systems, CRM platforms, contact center tooling, integrations, data warehouse, and analytics that customer service runs on. We bring together Salesforce developers, SDEs, SAs, Business Intelligence Engineers, and Data Engineers to build and operate that stack. This role sits on the Customer Service Data and Analytics sub-team, which owns the data warehouse (Radius on Amazon Redshift), the analytics stack (QuickSight, with Tableau retiring), and the pipelines feeding both. Our culture emphasizes rapid prototyping, problem-solving, and AI-assisted development.\nBasic qualifications\n- 3+ years of data engineering experience\n- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience\n- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field\n- 3+ years of SQL experience\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.\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\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, CA, Hawthorne - 132,100.00 - 178,800.00 USD annually","description_format":"text","description_chars":7309,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Cloud Platforms (IaaS & PaaS)","Logistics","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T03:44:05Z"},{"event":"close","at":"2026-10-09T13:07:49Z"},{"event":"restore","at":"2026-10-15T17:10:55Z"}],"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},{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Graduate Trainee, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Global Business Mobility: Graduate Trainee; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-28T06:26:45+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.391,"p_room":0.45,"age_days":33,"expected_fill_days":22,"reasons":["conf:4","stale_co","velocity","win:tail","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-ringblink-customer-service-engineering-and-insights","json_url":"https://alion.io/job/amazon-data-engineer-ii-ringblink-customer-service-engineering-and-insights.json","meta":{"generated_at":"2026-10-28T12:21:21Z","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":16329,"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-ringblink-customer-service-engineering-and-insights"},{"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-ringblink-customer-service-engineering-and-insights"},{"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-ringblink-customer-service-engineering-and-insights"},{"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-ringblink-customer-service-engineering-and-insights\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-data-engineer-ii-ringblink-customer-service-engineering-and-insights"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":1283157}},{"tool":"search_jobs","arguments":{"company":"amazon.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":1283157},"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. Docs: https://alion.io/developers"}}