{"id":2955740,"url":"https://alion.io/job/multiplica-data-engineer-middle","title":"Data Engineer Middle","company":{"id":8001,"name":"Multiplica","domain":"multiplica.com","url":"https://alion.io/company/multiplica","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":85,"open_postings":5,"ghost_share":0,"stale_share":0.6,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":80000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Data Vault","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"GDPR","optional":false},{"name":"MySQL","optional":false},{"name":"PCI DSS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-20T21:28:18Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-31T04:36:53Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"¡Multiplica, te estás buscando! Somos una consultora especializada en ofrecer las mejores oportunidades laborales al mejor talento digital del mercado.\nTenemos 25 años de experiencia reclutando a personas capacitadas, innovadoras y con ganas de crecer para nuestros clientes.\nActualmente colaboramos con empresas en LATAM, USA, Europa y África y contamos con talentos que trabajan presencialmente y/o remoto en diferentes partes del mundo. Nuestros talentos son los agentes de cambio que están creando las organizaciones del futuro. ¡Sé parte de este cambio!\nRequirements\nBuscamos un Data Engineer Senior altamente capacitado para unirse a nuestro equipo en una fintech en crecimiento. Este rol es clave para el diseño, construcción y optimización de nuestra infraestructura de datos, asegurando la disponibilidad y confiabilidad de la información para la toma de decisiones estratégicas. Trabajarás en un entorno dinámico con tecnologías modernas, colaborando estrechamente con equipos de ingeniería, analítica y producto para desarrollar soluciones escalables y eficientes.\nResponsabilidades:\nDiseñar, desarrollar y mantener pipelines de datos eficientes y escalables.\nImplementar y administrar bases de datos relacionales (SQL, MySQL, PostgreSQL) y no relacionales (MongoDB Atlas, Redis).\nDesarrollar y optimizar procesos de ingesta, transformación y almacenamiento de datos en un entorno de Lakehouse utilizando Databricks.\nEscribir código eficiente en Python, SQL y PySpark para el procesamiento de grandes volúmenes de datos.\nDiseñar estrategias de monitoreo y mejora del rendimiento para garantizar la integridad y disponibilidad de los datos.\nColaborar con equipos de desarrollo, ciencia de datos y analítica para proporcionar soluciones de datos óptimas.\nImplementar mejores prácticas en la gobernanza de datos y cumplimiento normativo (GDPR, PCI-DSS, entre otros).\nRequisitos Técnicos:\nExperiencia sólida en bases de datos relacionales: SQL, MySQL, PostgreSQL.\nExperiencia en bases de datos NoSQL, particularmente MongoDB Atlas y Redis.\nExperiencia en arquitecturas de Data Lake y Lakehouse con Databricks.\nDominio de lenguajes de programación: Python, SQL y PySpark.\nExperiencia en la optimización de consultas SQL y en el manejo de grandes volúmenes de datos.\nConocimiento en herramientas de orquestación de datos (Airflow, Prefect o similares).\nExperiencia en entornos cloud (AWS, Azure o GCP) con enfoque en soluciones de datos.\nFamiliaridad con metodologías de desarrollo ágil y prácticas de CI/CD para entornos de datos.\nConocimiento en el modelado KIMBAL, Data Vault 2.0 y para bases de datos operativas.\nRequisitos Adicionales:\nMás de 2 años de experiencia en ingeniería de datos o roles similares.\nExperiencia en el sector fintech o en industrias con grandes volúmenes de datos transaccionales.\nHabilidades analíticas y capacidad para solucionar problemas complejos de datos.\nCapacidad para trabajar de forma autónoma y en equipo en entornos dinámicos.\nExcelentes habilidades de comunicación para colaborar con equipos multidisciplinarios.\nCertificaciones en tecnologías relacionadas (Databricks, AWS Data Analytics, etc.) son un plus.\nBenefits\nBeneficios de ley y superiores.\nDías de vacaciones adicionales. \nBeneficios de salud. \nTrabajo bajo objetivos y flexibilidad de horario. \nAprendizaje continuo: acceso gratuito a cursos. \n¡Muchos más!","description_format":"text","description_chars":3363,"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":[{"language":"Spanish","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Creative 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Docs: https://alion.io/developers"}}