Data Engineer Jobs in Quito.
All active Data Engineer roles based in Quito.
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Senior Machine Learning Engineer
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Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery.
As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security.
- You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications.
- You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
- You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks.
- You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape.
- You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers.
- You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives.
- You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements.
Job qualifications
Technical Skills
- An advanced English level is required.
- You must have a strong experience with LLM and AI.
- You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code.
- You are proficient in scripting languages such as Python or Shell for automation and task streamlining.
- You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications.
- You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
- You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
- You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
- You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
- You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services.
Professional Skills
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
Ready to apply?
Apply to Referrals OnlyLead Data Engineer
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Lead data engineers at Thoughtworks develop modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. They might spend a few weeks with a new client on a deep technical review or a complete organizational review, helping them to understand the potential that data brings to solve their most pressing problems. On projects, they will be leading the design of technical solutions, or perhaps overseeing a program inception to build a new product. Alongside hands-on coding, they are leading the team to implement the solution.
Job responsibilities
- You will lead and manage data engineering projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
- You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
- You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will be responsible to create, design and develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You write clean and iterative code based on TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will lead and advise clients on how to use different distributed storage and computing technologies from the plethora of options available.
- You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
- You will be responsible for data governance, data security and data privacy to support business and compliance requirements.
- You will define the strategy for and incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- You have experience with the Databricks platform.
- You have experience in Gen/AI and LLMs.
- You have experience in leading the system design and implementation of technical solutions.
- Working with data excites you; You have created Big Data architecture, can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have a deep understanding of data modeling and experience with modern data engineering tools and platforms.
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Professional Skills
- You have advanced English.
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
Ready to apply?
Apply to Referrals Only
Quality Engineer – Automation, Performance & Security
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NEORIS, ahora parte de EPAM, es un Acelerador Digital con más de 20 años acompañando a las compañías más grandes del mundo en su transformación tecnológica. Con presencia en 11 países y más de 4.000 profesionales, trabajamos en una cultura multicultural que impulsa la innovación, la estrategia y la comunicación de alto impacto.
Responsabilidades:
- Participar activamente en ceremonias ágiles y en la definición de criterios de aceptación.
- Diseñar estrategias, planes y casos de prueba funcionales y no funcionales en formato BDD.
- Ejecutar pruebas manuales y automatizadas en aplicaciones frontend (web/móvil) y backend (APIs/servicios).
- Gestionar defectos, documentación de pruebas y riesgos de calidad.
- Implementar y mantener flujos de automatización utilizando frameworks y herramientas de mercado.
- Definir, medir y monitorear métricas de calidad de software y OKRs.
- Liderar y coordinar equipos de testing, promoviendo mejora continua.
- Diseñar y ejecutar estrategias de performance y seguridad, analizando resultados.
Requisitos:
- 5 o más años de experiencia en el rol.
- Experiencia sólida en automatización de pruebas (Serenity BDD, Cucumber, Karate, Robot Framework u otros).
- Conocimiento avanzado en pruebas de performance (JMeter, K6, Rational Performance Tester).
- Conocimiento avanzado en pruebas de seguridad (OWASP ZAP).
- Experiencia con herramientas de gestión de pruebas (Jira X-Ray, Confluence).
- Manejo de CI/CD y repositorios de código (Git, Azure DevOps).
- Conocimientos en bases de datos SQL y motores relacionales.
- Dominio de procesos y tipos de pruebas (ISTQB FL/AT), certificación deseable.
Ofrecemos:
- Cultura de innovación y crecimiento profesional
- Vinculación a tiempo indeterminado (relación de dependencia)
- Beneficios legales
- Seguro médico privado
- Seguro de vida
- Días libres adicionales
- Plataformas de aprendizaje y desarrollo.
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Marlon Montaguano
#LI-MM5
Ready to apply?
Apply to NEORIS
Senior Data Engineer
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Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy.
Job responsibilities
- You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
- You will develop intricate data processing pipelines, addressing clients' most challenging problems.
- You will collaborate with data scientists to design scalable implementations of their models.
- You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines.
- You will use different distributed storage and computing technologies from the plethora of options available.
- You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack.
- You will collaborate with the team on the areas of data governance, data security and data privacy.
- You will incorporate data quality into your day-to-day work.
Job qualifications
Technical Skills
- You have experience with the Databricks platform.
- You have experience in Gen/AI and LLMs.
- Working with data excites you; You can build and operate data pipelines, and maintain data storage, all within distributed systems.
- You have hands-on experience of data modeling and modern data engineering tools and platforms.
- You have experience in writing clean, high-quality code using the preferred programming language.
- You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting.
- You have experience with data visualization techniques and can communicate the insights as per the audience.
- You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems.
- You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.).
Professional Skills
- You have advanced English.
- You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
- You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Remote
Ready to apply?
Apply to Thoughtworks
Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
NEORIS es un acelerador Digital que ayuda a las compañías a entrar en el futuro, teniendo 20 años de experiencia como Socios Digitales de algunas de las mayores compañías del mundo. Somos más de 4,000 profesionales en 11 países, con nuestra cultura multicultural de startup en donde cultivamos innovación, aprendizaje continuo para crear soluciones de alto valor para nuestros clientes.
Estamos en búsqueda de Data Engineer
Principales responsabilidades:
- Analizar la necesidad basado en definiciones y diseños recibidos.
- Participar en la etapa de diseño de Ingeniería de la solución con altos estándares de eficiencia y alineadas a la visión de Arquitectura de Datos.
- Desarrollo y despliegue de productos de datos como: ETLs, ELTs, APIs, que permitan disponibilizar información, observando estándares y herramientas provistas por banco así como buenas prácticas de Desarrollo (como Clean Code) que garanticen soluciones eficientes (en términos de consumo de recursos y tiempos de respuesta), efectivas, legibles y de fácil mantenimiento en el tiempo.
- Aplicar estrategias de validación que permitan verificar la correcta implementación de criterios funcionales y no funcionales.
- Aplicar procesos de mejora continua de los productos en desarrollo.
Requerimientos:
- Gestión de base de datos y experiencia en tareas de optimización de: Scripts, SPs y otros objetos destinados al tratamiento de datos.
- Modelamiento de bases de datos relacionales y no relacionales
- Experiencia en construcción de: Datawarehouse, Datamarts y Datalake.
- Familiaridad con los diferentes componentes y su interacción en tecnologías Cloud orientadas a soluciones Big Data.
- Construcción de ETLs, ELTs y gestión de información con grandes volúmenes de datos.
- Buenas prácticas y principios de desarrollo como Clean Code.
- Conocimiento de marcos de trabajo ágiles y estrategias DataOps
- Estrategias de testing orientado a Datos tanto para pruebas funcionales y como no funcionales.
- Formación en sistemas de ficheros distribuidos como Hadoop, HDFS o Spark.
- Procesamiento batch con tecnologías Big Data
HERRAMIENTAS / LENGUAJES
- BDD relacionales: SQL server, postgresql, Oracle, etc.
- BDD no relacional: Mongo DB,Cassandra, ElasticSearch, Neo4J, etc
- ETL:SQL Server Integration Services (SSIS), Pentaho (Kettle), SAP Data Services, etc.
- Cloud: AWS, Google Cloud Platform y Microsoft Azure.
- Pipeline Cloud: STRATIO, MS Azure Data Factory, AWS Glue, DataFlow, etc.
- Lenguaje y Framework: Python - Spark-Pyspark
Ofrecemos:
- Cultura de innovación y crecimiento profesional
- Vinculación a tiempo indeterminado (relación de dependencias)
- Beneficios legales
- Seguro médico privado
- Póliza de vida
- Día libre de cumpleaños
Te invitamos a conocernos en http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.
Manuel Lunahuana
#LI-ML2
Ready to apply?
Apply to NEORIS