We are looking for passionate technologists to join our Solution Consulting organization, to support our Customer Organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. 

In this role, you are responsible for guiding our customers and users to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned technical sales professionals, consultants, software architects, and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. 

You'll work closely with our Customer Success Managers and Relationship Account Managers to help customers solve business problems by leveraging our solutions. You'll become the trusted advisor to a wide range of customers from startups to the world's largest enterprise IT organizations.

This role will be based remotely in Mexico City or São Paulo. 

As an ideal candidate, you will have:

• 5+ years professional work experience within software development, consulting, Pre-Sales, or related fields.
• 2+ years of Pre-Sales experience with enterprise software 
• 2+ years of software development experience, with working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#)
• A mind for technology - we’ll teach you all about MongoDB and databases, but our customers and products are inherently technical and you should have an aptitude and curiosity to learn about those concepts
• Experience with or knowledge of scalable and highly available distributed systems 
• Excellent presentation and communication skills 
• The ability to be adaptive to an ever-changing environment, where you are constantly improving yourself, your team and (y)our processes
• High levels of organization in your workflows - you understand what it means to work with lots of customers and to prioritize and manage your time efficiently
• The ability to travel up to 25%
• A Bachelor’s degree in Computer Science, MIS or similar degree or equivalent work experience
• Requires professional proficiency in both written and verbal English communication

As an ideal candidate, you may also have:

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• A MongoDB Certification

What you do at MongoDB

• You confidently articulate the business value of MongoDB solutions
• You partner with our Customer Organization to help ensure success in accounts ranging from small startups to large enterprises 
• You align to support remote/onsite sales with activities such as technical discovery, demos, presentation, sizing, and documentation of technical decision criteria; working across a number of opportunities in parallel
• You implement and maintain technology toolkits to drive compelling demonstrations and POCs
• You advise customers on architectures, patterns, and strategies for making the best use of MongoDB
• You assess and diagnose issue within a customer environment to provide recommendations about MongoDB best practices
• You translate technical concepts and patterns into business benefits
• You will have the opportunity to help drive demand through participation in both industry-known trade-shows as well as account-based marketing events
• You demonstrate resilience and sound judgment in dealing with business challenges
• You have an ability to drive customer demand within a sales territory, by being self-motivated, proactive and understanding the importance of a strong sense of urgency
• You have situational awareness and react appropriately in group settings

What you will learn

• The rapidly expanding MongoDB product suite, including:
• Core database server
• Atlas (fully managed cloud database service)
• Atlas Data Lake
• Atlas Full-Text Search
• Realm
• Charts
• Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark
• Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes
• Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security
• Sales techniques and related soft skills - presentations, demonstrations, whiteboarding, discovery, objection handling
• Exposure to a wide variety of market verticals and broad spectrum of interesting use cases

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273424762

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

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

FEQ427R170

Mission

Reporting to a Senior Manager, Field Engineering, the Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the of Databricks’ Field Engineering team in Latam. You will lead and promote a dynamic team focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing and generative AI. Leading the technical sales team, you will partner with Sales (and other Field Engineering technical  segments)  to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks' growth in the market.

The Impact You Will Have

• You will hire, train, and grow a team of Solutions Architects for a company in high-growth mode.
• Make your customers extremely successful with Databricks and provide outsized value to their businesses.
• You will maintain a robust hiring pipeline at all times.
• Establish relationships across the business to make your customers and team successful.
• Keep your team of SAs ahead of the technical curve. An SA adds value by maintaining advanced knowledge of the technology stack. You will make sure that your team is continuously learning and working to provide our customers with the most comprehensive solutions for their needs

What We Look For

• Proven experience building and leading technical pre(or post)-sales teams - hiring, on-boarding, and enabling pre(or post)-sales professionals
• 10+ years of experience in the data space with a technical product (i.e. data warehousing, big data, machine learning, or more recently with generative AI).
• Trusted advisor to technical executives that guide strategic data infrastructure decisions.
• Lead a team through best practices for technical qualification, technical validations, architecture discussions, and product demonstrations.
• Establish and foster external partnerships with systems integrators (SIs) and independent software vendors (ISVs) that maximize and accelerate client success.
• Strong understanding of consumption-driven business models and the recipes for long term growth and success
• Experience hiring candidates that continually raise the bar, ramping them up to be successful, and promoting into larger roles.
• Create a positive morale for the team and help foster a working relationship between Field Engineering, Sales, and other important internal cross-functional teams.
• Experience working cross-functionally with other teams such as Sales, Product Management, Engineering, and Customer Success.
• Must be technical enough to earn the trust of Engineering talent and leadership at Databricks.
• Demonstrated architectural influence. Able to influence and review complex architectures; guiding your team and customers towards ideal solutions - that scale.

Our mission is to turn students and recent graduates into world-class software engineers in just a few months.

We aim to help you find a job at Encora and build a better career path.

Our program equips you with the essential skills to navigate real-life scenarios that you can later apply with larger teams and clients

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What is AWS re/Start?

A free, cohort-based training program that helps students launch careers in the cloud.

It prepares learners for entry to mid-level cloud roles through hands-on, real-world training and professional skills development, and connects them with potential employers.

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Requirements

• A) Being at least in the middle of your career or a recent graduate of IT-related careers, such as Software Development, Mechatronics, or other related fields.  
  • B) Or having some experience with programming (at least six months), please include your personal projects in your resume besides the boot camps, workshops, courses you might have taken, etc.  
• English B1/B2.  
• Internships don't count as working experience, but please include them in your resume.  
• Have at least five hours available during the day.  
• Mexican nationality or permanent resident. (We're not currently accepting candidates living in other countries).
• Successfully pass the selection process. 

Benefits of being part of the program.

- Cloud Computing Training

- Professional Practice hours

- AWS Certification Voucher 

- Direct Access to Spark Program

We strongly recommend constantly reviewing your inbox and spam email. 

Encora is an equal-opportunity employer committed to fostering, cultivating, and preserving a culture of diversity, equality, and inclusion. 

We embrace and encourage our employees and applicants/candidates' differences in age, color, disability, ethnicity, family or marital status, gender identity and/or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socioeconomic status, veteran status, and other characteristics that make our employees unique. 

Every individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits discriminatory practices, including harassment of any kind.

Data Analyst Std

Responsabilidades

·        Recopilar, organizar, analizar y difundir cantidades significativas de información con atención al detalle para garantizar la calidad e integridad de los datos.

·        Desarrollar, automatizar, verificar y monitorear proyectos para los análisis orientados a las necesidades de negocio.

·        Mejora continua del proceso de análisis de datos e infraestructura.

·        Generar insights identificando e interpretando tendencias o patrones en conjuntos de datos con la finalidad de apoyar a negocio con la toma de decisiones basadas en datos.

·        Diseñar sistemas de reporting para la visualización de informes periódicos que resuman el análisis de los datos.

·        Elaborar vistas y dashboards para proporcionar información útil a negocio.

Skill

·        AWS Redshift

·        Jira

·        Paquetería de Microsoft Office

·        Tableau/Power BI

Lenguajes de programación

·        SQL

·        Python (Pandas, Spark)

Manejo de metodología/filosofía Ágil deseable     

·        Scrum  

·        Kanban

Idiomas Nivel de inglés intermedio

Soft Skills

·        Comunicación efectiva con stakeholder clave y líderes de negocio.              

·        Capacidad analítica y organizacional superior.      

·        Enfoque en resultados con alta capacidad de ejecución.  

·        Precición y atención al detalle.    

·        Adaptabilidad proactiva al campo y apertura a retroalimentación.

·        Capacidad de autoaprendizaje y mejora continua

·        Gestión de proyectos      

·        Trabajo en equipo con enfoque en sinergia organizacional 

Requisitos:

·        Escolaridad         

·        Ing. Sistemas Computacionales  Economía

·        Matemáticas      Actuaría

·        Estadística      

Asignación hibrida, hay que acudir a sitio 3 veces por semana (Reforma, CDMX)

About Us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia.

About the role

We are seeking an enthusiastic and driven Data Scientist to join our Credit Strategy team. This role focuses on applying innovative machine learning methodologies to our risk model and developing causal machine learning approaches for the initial line assignment workflow.

You will be responsible for

• Translate business challenges into specific and well-designed machine learning solutions that meet business requirements;
• Integrate and leverage external data sources to feed our models;
• Ensure the team maintains a high level of technical excellence;
• Contribute to a technical culture in the local team.
• Bring expertise to the team to help design projects across the many areas involved in building machine learning products (training, deployment, data consistency, monitoring, governance, etc.)

We are looking for a person who has

• Strong coding skills Python/Scala or equivalent languages;
• Experimental design skills;
• Ability to interact and communicate effectively with business and engineering;
• Good understanding of model development and deployment pipeline;
• Experience with machine learning tools and libraries such as Scikit-learn, Mllib and etc;
• Nice data handling skills, Spark Dataframes, or SQL proficiency is a plus;
• English language proficiency.

Local Benefits 

• Chance of earning equity at Nubank
• Extended maternity and paternity leaves
• Health and life insurance
• NuCare - Our mental health and wellness assistance program
• Nucleo - Our learning platform of courses
• NuLanguage - Our language learning program
• Gym partnership

Diversity & Inclusion

At Nu, we want to be sure that we're building a more diverse and inclusive workplace that reflects the customers we serve and seek to empower. That's why we hire based on equality. We consider gender, ethnicity, race, religion, sexual orientation, and other identity markers as enriching elements to our company while ensuring neither of them represent a barrier when recruiting fantastic talent.

P-1383

This role requires candidates to be based in or near Mexico City, Mexico;  Candidates from other locations will not be considered.