Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design and maintain scalable data models for large-scale systems ensuring optimal performance - Develop and manage robust ETL/ELT pipelines for data ingestion and transformation from heterogeneous sources - Apply strong SQL skills for complex queries and performance tuning across large datasets - Develop and maintain Python-based solutions for data processing, automation, and integration tasks - Build and optimize workflows on Azure Cloud services and Databricks to support enterprise data needs - Implement security and compliance measures for handling PHI/PII data in accordance with HIPAA or similar regulations - Support AI/ML workflows by provisioning infrastructure and collaborating with data scientists for predictive analytics integration - Work closely with cross-functional teams to gather requirements and deliver data solutions while effectively communicating technical concepts to stakeholders - Ensure data quality, integrity, and audit readiness across all systems - Create interactive dashboards and reports using Power BI or Tableau to deliver actionable insights - Utilize advanced data modeling techniques to design efficient and scalable architectures - Stay updated with emerging technologies in data engineering and cloud platforms to drive process improvements and best practices for data lifecycle management You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - High School Diploma/GED - 3+ years of overall experience in Data Engineering or related field Preferred Qualifications: - Strong expertise in SQL and data modeling for large-scale systems - Strong experience in ETL/ELT frameworks - Proven experience integrating data from heterogeneous source systems - Strong experience with Databricks, Python, Azure cloud services, Power BI or Tableau - Good experience with Azure data factory - Familiarity with AI/ML frameworks and supporting infrastructure for data science workflows - Experience working with PHI/PII and restricted client data in compliance with HIPAA or similar regulations - Strong communication, stakeholder management, and cross-functional collaboration skills *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO #GREEN

We are One Team. We make it happen. We are Unstoppable. BABEL es una consultora tecnológica multinacional especializada en aplicar sus servicios y conocimiento tecnológico en los procesos de aceleración digital de sus clientes, grandes empresas y organismos públicos. ¿Cuál es nuestro plan estratégico? ¡Miramos hacia el futuro! Nuestro plan estratégico Hiperespacio 2029 promete ser un viaje emocionante, lleno de oportunidades para crecer y desarrollarse profesionalmente. Alcanzar 1000 millones de facturación, un reto que estamos seguros de que con la colaboración y el talento de nuestra gente, será otra historia de éxito que escribiremos juntos y juntas. ¿Qué buscamos? En Babel Chile estamos anticipando la búsqueda de un/a Data Engineer para integrarse a proyectos tecnológicos de alta visibilidad, con foco en diseño, construcción y optimización de soluciones de datos escalables. Buscamos profesionales con experiencia práctica en ingeniería de datos, capaces de construir pipelines robustos, asegurar calidad y disponibilidad de la información, y habilitar casos de uso analíticos para distintas áreas del negocio. ¿Cuál será el foco del rol? - Diseñar, desarrollar y mantener pipelines de datos escalables y eficientes. - Integrar, transformar y disponibilizar datos desde múltiples fuentes hacia entornos analíticos. - Participar en la construcción y evolución de ecosistemas de Data Lake y Data Warehouse. - Implementar procesos ETL/ELT con foco en calidad, trazabilidad y performance. - Trabajar de forma colaborativa con equipos de Analytics, Data Science, Producto y áreas de negocio. - Apoyar la automatización, monitoreo y mejora continua de flujos de datos batch y/o streaming. - Velar por buenas prácticas de desarrollo, versionamiento, documentación y gobierno de datos. Lo que esperamos del perfil - Experiencia previa en roles de Data Engineer o en ingeniería de datos. - Manejo sólido de Python y SQL. - Experiencia construyendo y manteniendo procesos ETL/ELT. - Conocimiento en modelamiento y explotación de datos en entornos Data Lake / Data Warehouse. - Experiencia trabajando en ambientes cloud, idealmente Google Cloud Platform (GCP). - Conocimiento o experiencia con herramientas y servicios de datos como: - BigQuery - Dataflow - Composer / Airflow - Pub/Sub - Dataproc - Cloud Functions - Experiencia con Git y buenas prácticas de desarrollo colaborativo. - Manejo de entornos Linux y scripting. - Capacidad para desenvolverse en equipos ágiles y multidisciplinarios. Será un plus si además cuentas con - Experiencia en procesamiento de datos batch y streaming. - Conocimientos en herramientas o frameworks como Spark, Kafka o Apache Beam. - Experiencia en infraestructura como código, idealmente Terraform. - Cercanía con entornos analíticos, reporting o habilitación de datos para modelos de ciencia de datos. - Experiencia en industrias de alto volumen de datos como telecomunicaciones, banca, retail o servicios. Qué valoraremos en ti - Perfil analítico y orientación a resolución de problemas. - Capacidad para transformar necesidades de negocio en soluciones de datos concretas. - Orden, autonomía y foco en calidad técnica. - Buena comunicación y capacidad de trabajo colaborativo con equipos técnicos y no técnicos. Te ofrecemos - Modalidad: Remota (desde Chile) - Contrato a plazo fijo inicialmente con posibilidad de extensión acorde a demanda de proyectos y desempeño - Ser parte de proyectos desafiantes, con foco en datos, escalabilidad e innovación. - Trabajo con equipos ágiles y entornos tecnológicos modernos. - Espacio para aportar criterio técnico y buenas prácticas en ingeniería de datos. - Integración a una compañía con presencia global y foco en desarrollo profesional. #Babel ¿Qué ofrecemos? Babel, the great way to achieve the success. ¿Quieres formar parte de un equipo en expansión, comprometido e innovador que hace historia cada día? En Babel te acompañamos en tu camino hacia el éxito. Creemos en el talento de las personas y lo queremos potenciar ofreciéndote un gran entorno de trabajo basado en la colaboración y la solidaridad. Trabajar en Babel es mucho más que trabajar en una empresa, es unirse a un equipo de personas con una misión compartida y a un modelo de compañía centrado en valores. Además, - Apostamos por la conciliación laboral-personal. (Sistema de vacaciones por puntos, teletrabajo y flexibilidad). - Invertimos en la formación de nuestros Babelievers. - Participamos del crecimiento de la compañía y reconocemos la participación de cada persona (Bono de Reparto). - Ponemos foco en trabajar con últimas tecnologías y proyectos innovadores, pero sobre todo, acompañamos a la transformación digital y acercamos la tecnología a la sociedad. ¿Aceptas el desafío? ¡Te esperamos! En cumplimiento de la normativa vigente en materia de protección de datos te informamos que el responsable de tus datos personales es GRUPO BABEL (consultar empresas en la política de privacidad), y los utilizará para gestionar tus procesos de selección, tanto actuales como futuros y el resto de finalidades descritas en la web. Este tratamiento está basado en el consentimiento del candidato. Los datos personales recabados no serán en ningún caso cedidos a terceros salvo por obligaciones legales expresas. Puedes ejercer los derechos que te asisten sobre protección de datos en la dirección data.protection@babelgroup.com. Toda la información sobre política de privacidad en nuestra web.

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com. What is this position about? We are looking for Data Architect to lead the initial phase of a data platform transformation. This person will be responsible for evaluating the current Databricks environment, defining the target architecture, and establishing the technical foundation for scalable, governed data solutions in the cloud. Job Description Job Description · Assess the existing Databricks environment and prior implementations to support architectural decision-making · Analyze existing components and document recommendations around reuse, refactoring, or redesign · Support source system analysis by documenting data structures, dependencies, and ingestion considerations · Translate architectural direction into clear technical guidance for delivery teams · Own the creation and maintenance of architecture and delivery documentation, including: o Medallion architecture definitions (Bronze, Silver, Gold) o Data flow and ingestion pattern documentation o Data modeling and analytics-readiness standards o Naming conventions and documentation templates · Document architectural decisions, assumptions, trade-offs, and constraints · Maintain runbooks, reference materials, and architectural artifacts used by engineering teams · Ensure documentation stays current as implementations evolve · Support definition of logical and analytical data models, particularly for Silver and Gold layers · Review and validate data modeling approaches for alignment with architectural standards · Assist with SQL-based transformation logic design and validation · Perform lightweight analysis or prototyping (SQL or PySpark) to help validate architectural patterns · Support governance and security standards leveraging Unity Catalog through documentation and guidance · Assist in documenting: o Data ownership and domain concepts o Access and environment standards o Metadata, lineage, and usage expectations · Partner with Platform and DevOps teams to document agreed-upon governance and security patterns · Act as a liaison between Architecture, Data Engineering, Analytics, and Platform teams · Clarify architectural intent and standards for delivery teams · Gather feedback from engineering teams to improve clarity and usability of documentation · Reduce rework and ambiguity by ensuring expectations are clearly documented upfront Qualifications Qualifications ● Bachelor’s degree in Computer Science, Information Systems, or a related field ● Strong working knowledge of Databricks and modern lakehouse architectures ● Advanced SQL skills for data analysis, modeling, and transformation design ● Working knowledge of Python (PySpark preferred) for analysis and prototyping ● Experience supporting ETL/ELT pipelines in cloud environments (Azure preferred) ● Familiarity with medallion architecture concepts (Bronze/Silver/Gold) ● Experience supporting data governance frameworks (Unity Catalog or similar) ● Proven ability to produce clear, structured technical documentation Nice to Have ● Experience with Delta Lake, Delta Live Tables, or Auto Loader ● Familiarity with data quality and validation frameworks ● Exposure to healthcare or other regulated data domains ● Basic understanding of CI/CD and platform concepts (documentation-level) ● Awareness of data privacy and compliance requirements (HIPAA or similar) What about languages? Excellent written and verbal English for clear and effective communication is a must! How much experience must I have? We're looking for someone with 5+ years of experience, with demonstrated strength in data platform analysis, documentation, and architectural support Additional Information Our benefits: 📚 Learning Opportunities: - Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and additional certifications tailored to your role. - Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication. 👩‍🏫 Mentoring and Development: - Career development plans and mentorship programs to help shape your path. 🎁 Celebrations & Support: - Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance. Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters. So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

• Lead the design, development, and scaling of complex data pipelines and platforms • Partner with business leaders to translate requirements into production-ready data solutions • Own end-to-end data solutions including modeling, performance, reliability, and cost optimization • Implement CI/CD, testing, monitoring, and data quality best practices • Provide technical mentorship to junior team members