{"id":1767430,"url":"https://alion.io/job/kibernum-data-engineer-aws","title":"Data Engineer AWS","company":{"id":61370,"name":"Kibernum","domain":"kibernum.com","url":"https://alion.io/company/kibernum","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Santiago, Chile"],"countries":["CL"],"hiring_countries":["CL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":71000,"period":"year","method":null,"sample_n":3503},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T13:38:44Z","employer_posted_date":null,"last_verified_at":"2026-09-25T13:38:44Z","board_verified":false,"closed_at":null,"days_open":9,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":9},"description":"Data Engineer PySpark + AWS Rol 100% técnico\r\n\n¿Te gusta más resolver por qué un job de PySpark está lento que hacer un PPT sobre eso? Este rol es para ti.\r\n\nEn Kibernum buscamos un/a Data Engineer para uno de nuestros clientes, un equipo que está haciendo crecer su plataforma de datos en AWS. Vas a construir pipelines reales, con volumen real, en un proyecto que se nota en la carrera.\r\n\nTu día a día\r\n\nConstruir pipelines de ingesta y procesamiento, batch y real time, sobre AWS.\r\nDesarrollar y optimizar jobs de PySpark que procesan millones de registros.\r\nIntegrar fuentes de datos heterogéneas con la plataforma cloud.\r\nLlevar tus desarrollos a producción con buenas prácticas de ingeniería de software.\r\n\nLo que necesitas traer\r\n\nExperiencia como Data Engineer en roles de ejecución técnica.\r\nPySpark en producción, al menos 1 año: sabes diagnosticar un job lento y corregirlo.\r\nAWS para datos en proyectos reales (Glue, S3, Lambda, EMR o similares).\r\nSQL avanzado sobre bases relacionales.\r\nGit y trabajo en equipos ágiles.\r\n\nSuma puntos si tienes\r\n\nIntegración de fuentes on-premise con cloud.\r\nHerramientas de ETL o replicación de datos.\r\nCI/CD, streaming (Kinesis, Kafka o similar) o NoSQL.\r\nExperiencia en industrias reguladas.\r\n\nLo que ofrecemos\r\nContrato: Indefinido\r\nModalidad: Remoto 90% Presencial Región Metropolitana Chile","description_format":"text","description_chars":1342,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Chile","iso":"CL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-03T14:13:34Z"}],"visa":[],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.846,"p_room":1,"age_days":8,"expected_fill_days":27,"reasons":["seen:8","win:early"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/kibernum-data-engineer-aws","json_url":"https://alion.io/job/kibernum-data-engineer-aws.json","meta":{"generated_at":"2026-10-05T03:41:25Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4989,"day_limit":5000,"remaining_today":11,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}