Senior Data Engineer at Arkham Technologies | Mexico City

About Arkham TechnologiesArkham Technologies is a pioneering Data & AI Platform that offers a comprehensive suite of robust tools aimed at unifying your data and applying advanced Machine Learning and Generative AI models to tackle your most intricate operational challenges. Our platform is trusted by industry leaders, including Circle K, Mexico Infrastructure Partners, and Televisa Editorial, to streamline data access, automate complex workflows, and enhance operational efficiency. By leveraging our platform and implementation services, clients benefit from significant time savings, cost reductions, and a solid foundation for sustainable Data and AI transformation.About the RoleWe are seeking a highly skilled Senior Data Engineer to take ownership of our high-performance Data Platform, built on the innovative Lakehouse architecture. In this pivotal role, you will engage with cutting-edge technologies such as Apache Spark, Trino, and Delta Lake, ensuring data governance and interoperability across various platforms. You will significantly influence our data infrastructure, managing the entire data lifecycle from ingestion through transformation to activation.

Join Truelogic as a Senior Data Engineer and take your career to new heights! In this pivotal role, you will be responsible for designing, implementing, and maintaining robust data pipelines and architectures that support our cutting-edge technology initiatives. Your expertise will drive data-driven decision-making and enhance our business intelligence capabilities.We are seeking a talented professional who thrives in a fast-paced environment and is passionate about big data technologies. You will work closely with cross-functional teams to optimize data flow and ensure data accuracy across various platforms.

About SimplePractice SimplePractice is headquartered in Los Angeles, California, with team members based throughout the United States, the Dominican Republic, Mexico City, and Ukraine. The company’s mission centers on improving access to quality healthcare. SimplePractice supports wellness and healthcare professionals by providing essential tools for success in private practice. More than 250,000 professionals use SimplePractice’s software to manage their businesses. The platform streamlines administrative and clinical workflows, helping solo practitioners and small groups reduce paperwork and focus on client care. SimplePractice has received recognition from MedTech Breakthrough as the Best Practice Management Solution Provider in 2024 and was honored by the Digital Health Awards in 2023. Our Culture Culture guides every aspect of work at SimplePractice, from serving clients to pursuing the company’s mission. Five core values shape daily interactions and decisions: Think big Take simplicity seriously Come as you are Act with humility Build on trust Responsibility and innovation are encouraged throughout the organization.

Lab49 is on the lookout for a talented and experienced Senior Data Engineer to bolster our dynamic team in Mexico City. The perfect candidate will bring a wealth of knowledge in data engineering technologies, particularly in managing market and credit counterparty risk platforms, alongside a robust understanding of the financial services landscape. If you excel in a collaborative, agile setting and are adept at constructing scalable, high-performance data platforms, we invite you to connect with us.

jobgether is hiring a Senior Data Engineer based in Mexico. This position focuses on designing and implementing data solutions that support business goals and improve how the company uses information. Role overview The Senior Data Engineer will work closely with colleagues from different teams to understand data needs, build reliable data pipelines, and maintain high data quality across multiple platforms. The work involves analyzing requirements, optimizing workflows, and supporting the development of advanced analytics. What you will do Design and implement data architectures that meet business and technical requirements Develop and maintain efficient data pipelines Collaborate with cross-functional teams to gather and clarify data needs Monitor and improve data quality across systems Contribute to projects that advance the company’s use of analytics Requirements Experience in data engineering and architecture Ability to build and optimize data workflows Strong analytical and problem-solving skills Comfort working with teams across different functions

About Arkham TechnologiesArkham Technologies is a cutting-edge Data & AI Platform that offers an extensive suite of tools designed to empower organizations in unifying their data. Our platform leverages advanced Machine Learning and Generative AI models to tackle the most complex operational challenges.Renowned industry leaders such as Circle K, Mexico Infrastructure Partners, and Televisa Editorial trust our platform to enhance data accessibility, automate intricate processes, and optimize their operations. Through our platform and dedicated implementation services, our clients experience significant time savings and cost reductions, establishing a robust foundation for enduring Data and AI transformation.About the RoleAs Arkham Technologies continues to expand and solidify its strong product-market fit, we are thrilled to welcome a Software Engineer Intern to our engineering team. This role presents a unique opportunity for aspiring developers to engage in a vibrant, innovative environment where data and scalable code intersect.In this position, you will collaborate closely with our seasoned engineering team to develop features that drive our Data & AI Platform. Your responsibilities will range from crafting robust APIs to enhancing the frontend experience and ensuring our infrastructure efficiently handles complex data workloads at scale.This internship blends learning with practical application. You will gain hands-on experience with our technology stack, tackling real-world software challenges while assisting in the creation of scalable, production-ready solutions. Your contributions will be essential in supporting our team and shaping the tools our customers rely on daily.Core ResponsibilitiesFeature Development & Implementation: Collaborate in building and maintaining high-quality software features, gaining exposure to both backend logic and frontend interfaces within the Arkham platform.Code Quality & Testing: Participate in code reviews and write automated tests to ensure the reliability of our codebase, learning to maintain a robust production environment.System Documentation: Assist in creating and maintaining clear technical documentation for APIs, system architecture, and internal tools to promote knowledge sharing across the team.Bug Fixing & Optimization: Work with senior engineers to identify, troubleshoot, and resolve software defects, while learning to enhance performance and improve user experience.What We ValueA passionate interest in technology and its potential to effect change.Strong communication, writing, and analytical skills developed in a collaborative team setting.A desire to learn and contribute in a fast-paced, innovative environment.Adaptability and resilience, with a readiness to confront complex technical challenges.

Forward Deployed Data ScientistAbout Arkham TechnologiesArkham Technologies is at the forefront of the Data & AI revolution, offering an innovative suite of tools that empower organizations to integrate their data and leverage advanced Machine Learning and Generative AI models. Our platform has become a trusted resource for industry leaders such as Circle K, Mexico Infrastructure Partners, and Televisa Editorial, who utilize our solutions to enhance data accessibility, automate intricate processes, and achieve operational excellence. With our comprehensive platform and dedicated implementation services, we enable our clients to save time, reduce costs, and establish a robust foundation for enduring Data and AI transformation.About the RoleAs a Forward Deployed Data Scientist, you will play a pivotal role in initiating our clients' journey towards AI transformation. Collaborating closely with our implementation teams, you will help clients navigate their first use case after their Data Platform is established in Arkham. This collaborative effort involves working alongside their BI, finance, or operations teams to thoroughly understand their objectives and guide them through the solution process. Typical use cases you might engage with include: Enhancing complex reporting or analysis tasks through prompt engineering Implementing anomaly detection or forecasting models to enhance operational efficiency Setting up our AI Agent functionalities to facilitate data exploration and SQL query generation for Data Engineers This initial phase of engagement usually spans 2-4 weeks, leading to the resolution of the client's primary pain points and resulting in an 'aha' moment that transforms them into advocates for our platform, significantly driving adoption and uncovering new use cases within their operations.Your position will act as a bridge between the deployment of Machine Learning models, the implementation of Generative AI applications, and the support of clients through Prompt Engineering. You will manage approximately 3-4 customer implementations concurrently, becoming a strong advocate for our Data & AI Platform.Core Responsibilities: Client-Centered Solution Design: Work collaboratively with clients to identify their critical challenges and devise solution strategies leveraging our platform. Implement the Client’s First Use Case: Lead the deployment of Arkham's tools to tackle clients' initial use cases. This encompasses creating data pipelines, executing advanced analytics, deploying our ML models, and configuring AI Agents. Establish Iterative Feedback Loops: Engage in continuous feedback with clients to refine and enhance their solutions.

About SimplePractice SimplePractice builds software that helps clinicians manage their private practices. Headquartered in Los Angeles, the company supports a distributed team across the United States, Dominican Republic, Mexico City, and Ukraine. Over 250,000 providers use SimplePractice’s tools to simplify administrative work and focus on delivering care. The platform has earned recognition, including the 2024 MedTech Breakthrough award for Best Practice Management Solution Provider and a 2023 Digital Health Award. Our Culture SimplePractice’s culture shapes how the team works and serves customers. Five core values guide daily decisions and interactions: Think big Value simplicity Embrace authenticity Act with humility Build on trust Team members contribute to a collaborative, supportive environment. Working at SimplePractice means connecting with colleagues across borders and participating in onsite events in both the US and Mexico. Role Overview: Senior Data Engineer (Hybrid, Mexico City) The Senior Data Engineer will lead improvements to SimplePractice’s data stack, with a focus on pipelines and platform infrastructure. This role involves designing and building systems that support product intelligence, financial reporting, and self-service analytics. Work will directly influence clinicians in small and mid-sized practices by providing actionable insights that help them run their businesses more efficiently. Analyzing data trends will support better decisions around client engagement and operational effectiveness. Within SimplePractice, this position supports executive reporting, revenue forecasting, product analytics, and AI evaluation. Collaboration with Data Analytics, Machine Learning, Product, and Engineering teams is central to the work, ensuring data becomes a first-class product across the company.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic team at NielsenIQ. As a Senior Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines that drive our analytics and reporting capabilities. You will work closely with data scientists, analysts, and other stakeholders to ensure high-quality data is readily available to support business decisions.Your expertise in data architecture and engineering will help us enhance our data processing capabilities and ensure scalability and performance of our data solutions.

Join Arkham as a Senior Software Engineer (Backend)About ArkhamArkham Technologies is at the forefront of the Data & AI revolution, offering a sophisticated platform designed to unify data and leverage advanced Machine Learning and Generative AI models to tackle the most intricate operational challenges faced by businesses today.Our platform is trusted by industry leaders such as Circle K, Mexico Infrastructure Partners, and Televisa Editorial to facilitate seamless access to valuable data and insights, automate complex processes, and enhance operational efficiency. Through our innovative platform and implementation services, we empower our clients to save time, reduce costs, and establish a robust foundation for enduring Data and AI transformation.About the RoleWe are seeking a Senior Software Engineer with a strong backend emphasis to join our team and contribute to the design and construction of core platform services that drive Arkham’s AI Operating System. This position is perfect for engineers who thrive on challenges associated with high-performance systems, enjoy tackling complex distributed problems, and are adept at creating scalable microservices architectures that support swift and secure data and AI workflows.As a pivotal member of our team, you will be responsible for designing systems that manage substantial data processing, facilitate real-time event-driven communication, and support mission-critical AI and analytics operations for our clients. This role offers a hands-on, high-impact opportunity that combines technical expertise with product-oriented thinking.

We are seeking a highly skilled and motivated Senior Data Engineer to join our dynamic team at Truelogic. As a leader in the Mobility-as-a-Service sector, you will play a pivotal role in designing and implementing data-driven solutions that enhance our services and drive business growth.Your expertise in data architecture, ETL processes, and analytics will be essential in ensuring the integrity, availability, and efficiency of our data systems. You'll collaborate with cross-functional teams to translate business requirements into technical specifications and deliver scalable data solutions.

About NeloNelo stands as a premier player in the consumer fintech and e-commerce sector in Mexico, boasting over $500 million in annualized GMV and exceeding $75 million in annual revenue. Our vision is to enhance the purchasing power of consumers throughout Latin America, achieving this through the development of a modern alternative to traditional credit cards.Having successfully secured more than $40 million in venture capital from notable investors such as Homebrew, Two Sigma Ventures, and Susa Ventures, Nelo also benefits from a substantial $100 million asset credit facility provided by Victory Park Capital.Our nimble team consists of seasoned professionals hailing from leading technology firms like Uber, Amazon, Rappi, and DiDi. We take pride in our speed, intellectual rigor, and operational efficiency.Nelo operates offices in both Mexico City and New York City.About the RoleWe are in search of a Senior Data Engineer to architect, construct, and manage the foundational data platform that underpins analytics, machine learning, and strategic decision-making at Nelo. This dynamic, hands-on role is ideal for an experienced engineer who thrives throughout the entire data lifecycle—from ingestion and transformation to ensuring reliability, scalability, and enabling machine learning.In this role, you will collaborate closely with teams across Analytics, Product, Engineering, Marketing, Risk, and Machine Learning to guarantee that our data infrastructure remains robust, scalable, and user-friendly as Nelo continues its growth trajectory.Key ResponsibilitiesOwn and enhance the data platform: Create, develop, and sustain scalable, dependable data pipelines and datasets that fuel analytics, reporting, and machine learning applications across the organization.Construct and manage ETL/ELT pipelines: Design production-quality pipelines that aggregate data from transactional systems, third-party providers, and event streams into our data warehouse and feature store.Empower analytics and business teams: Collaborate with Data Analytics and stakeholders to ensure that data is well-structured, documented, and accessible for self-service analysis.Facilitate machine learning workflows: Develop and maintain feature pipelines and feature stores that support model training, validation, and both online and offline inference.Guarantee data integrity and reliability: Implement data quality checks, monitoring, alerting, and SLAs to maintain trust in our data products.

Role overview Truelogic seeks a Senior Data Platform Engineer to join its finance team in Mexico City. This position centers on building and enhancing data platforms that support the company’s data-driven decision-making. The role involves working with Python, AWS, and Master Data Management (MDM) tools to deliver reliable and scalable solutions for the organization. What you will do Design, develop, and maintain data platforms with an emphasis on scalability and reliability Use Python and AWS to build and refine data solutions Implement and oversee MDM processes to maintain data quality and consistency Deliver data solutions that help business teams make informed decisions Key technologies Python AWS Master Data Management (MDM) Location This role is based in Mexico City.

About Kavak Kavak is the first unicorn from Mexico, operating in several countries and built on an AI-first business model. The company is reshaping the used car market and improving the experience for millions across Latin America. Kavak has earned top ratings in the region and recently secured a $300M investment round led by Andreessen Horowitz, one of the largest in Latin America. With this momentum, Kavak is expanding its team to advance AI-driven projects and build the next chapter of its product. AI is at the core of Kavak’s operations. The team applies AI to areas like conversational commerce, generative marketing, and systems that extract insights from millions of interactions. Kavak values ambition, initiative, and adaptability in a high-growth setting. What Sets Kavak Talent Apart Deliver Impact: Focus on initiatives that drive measurable results and raise standards through technology and data. Engage Fast: Tackle challenges and opportunities proactively, make timely decisions, and adapt quickly while maintaining quality. Engage with Purpose: Take full ownership of work and align decisions with the company’s vision and values. Play to Win Together: Put team success ahead of individual achievements. Role Overview: Senior AI Data Engineer In just six months, Kavak built a Databricks-based data platform with a data mesh architecture that surpassed even Databricks' own expectations. This platform serves as the intelligence backbone for the entire organization, supporting bots, human agents, and teams in Mexico, Turkey, and the Middle East. It is central to Kavak's AI strategy. Kavak is looking for a Senior AI Data Engineer to help take this platform to the next level. The role calls for a technical expert with a strong product mindset, someone who understands the business context, builds the datasets that drive it, and becomes a key resource for data architecture across the company. This position is not about processing tickets. Kavak seeks someone eager to understand the business, identify challenges, and design data solutions that make a real difference. Location Mexico City

Join Nagarro as a Senior Staff Engineer and Senior Data Scientist, where you will play a crucial role in leveraging data to drive innovation and transform business strategies. You will work alongside a team of talented engineers and data scientists, leading projects that utilize advanced analytics and machine learning techniques to deliver actionable insights.Your expertise will contribute to developing cutting-edge solutions that enhance our clients' performance and drive growth. Collaborate with cross-functional teams to identify opportunities for data-driven decision-making and help shape the future of our technological landscape.

ALTEN México is actively seeking a Senior Cloud Developer. The ideal candidate will possess extensive experience in data architecture, cloud ecosystems (specifically GCP), and the development of robust, scalable solutions tailored to meet business needs. The selected individual will be responsible for designing, implementing, and optimizing architectures and developments within GCP, ensuring efficiency, quality, and adherence to best technical practices.Main ResponsibilitiesDefining data architecture to meet new requirements.Conducting requirement analysis to assess technical feasibility and the impact of integrating new data sources.Designing and implementing scalable and efficient data solutions.Defining and executing improvements to the data ecosystem in GCP (processing, monitoring, and cost management).Developing robust and scalable applications using GCP services based on user needs.Conducting testing to ensure quality and performance.Establishing and applying best practices.

Data Science InternAbout Arkham TechnologiesArkham Technologies is at the forefront of the Data and AI landscape, providing an innovative platform that integrates advanced tools for data unification and the application of cutting-edge Machine Learning and Generative AI models. Our solutions empower organizations to tackle their most intricate operational challenges efficiently.Notable industry leaders, including Circle K, Mexico Infrastructure Partners, and Televisa Editorial, leverage our platform to streamline data access, automate intricate processes, and enhance operational efficiency. By utilizing our technology and implementation services, clients not only save time and reduce costs but also lay the groundwork for sustainable Data and AI transformations.About the Role:As we continue to expand and solidify our market presence, we are thrilled to welcome a Data Science Intern to our dynamic AI team. This internship presents an invaluable chance for emerging data scientists to engage in a vibrant and innovative atmosphere.In this role, you will collaborate closely with our seasoned professionals, including our Head of AI. Your responsibilities will range from deploying Generative AI solutions for our financial services sector to assisting infrastructure clients in optimizing their operations through time series forecasting and anomaly detection models.This internship combines theoretical learning with practical application, offering you hands-on experience on our platform while tackling real-world challenges and contributing to scalable solutions. Your efforts will provide essential support to our team while helping you gain insights into the needs of a rapidly evolving market.Core Responsibilities:Assist in the Design and Implementation of ML and Generative AI Algorithms: Participate in developing machine learning and AI models, gaining insights into both the application of existing models and the development of new methodologies.Support Testing and Validation: Ensure the models' accuracy and reliability through various testing methodologies, learning to evaluate the AI Platform's performance across different scenarios.Contribute to Documentation: Help create comprehensive documentation that details methodologies, algorithms, and analytical insights derived from ML and AI models.Data Visualization: Develop visual representations of data trends and model outcomes, learning to effectively communicate intricate concepts to diverse audiences, including non-technical stakeholders.

Forward Deployed EngineerAbout Arkham:Arkham is a cutting-edge Data & AI platform dedicated to assisting large enterprises in:Integrating fragmented systems and dataEstablishing a unified source of reliable operational metricsAddressing complex challenges through AI customized for their operationsLeading companies such as Circle K and Kimberly-Clark collaborate with us to implement AI-driven solutions for sell-out forecasting, pricing and promotional analysis, and automated order allocation. With Arkham, they achieve rapid, high-impact results, laying a robust foundation for long-term AI transformation.Discover more about Arkham:Our websiteYouTube ChannelMedium blogAbout the RoleWe have crafted our implementation model around two pivotal roles:Forward Deployed EngineerForward Deployed Data ScientistAs a Forward Deployed Engineer, you will serve as the technical link between Arkham's Data Sync platform and our clients. Your key responsibility involves designing and developing connectors that facilitate seamless data flow — primarily through REST APIs and JDBC/ODBC — utilizing frameworks like DLT, Airbyte, and Meltano (familiarity preferred but not essential). Distinct from an internal engineering position, you will oversee the entire implementation cycle: collaborating directly with client teams to comprehend their data environments and subsequently creating and deploying the connectors that enable access to that data.You will manage 3-4 client implementations concurrently, transitioning swiftly from discovery to production while ensuring your connector designs are reusable and scalable across various engagements.Your ResponsibilitiesConnector Development and ManagementDesign and implement connectors for multiple data sources including:REST APIsJDBC / ODBC databasesFlat files and object storageCustom ingestion scriptsEvery connector should emphasize reusability, configurability, and scalability.Lead Client Implementations from Start to FinishTake charge of the data integration process from initial discovery through to production deployment, ensuring efficient and effective implementation that meets client needs.

Lifted An Upwork Company seeks a Senior FinOps Data Engineer based in Mexico City. The position centers on building and refining data solutions that support financial operations and help drive informed decisions across the organization. Key Responsibilities Design and implement data pipelines and analytics frameworks tailored for financial data. Partner with teams from various departments to gather and clarify data requirements. Create scalable data architectures that can adapt to changing business needs. Safeguard the accuracy, integrity, and security of sensitive financial information. Requirements Proven experience developing data solutions for financial operations. Ability to collaborate effectively with cross-functional teams. Strong foundation in data architecture, pipeline development, and analytics.

Role Overview Nagarro is hiring a Senior Staff Engineer - Senior Data Scientist in Mexico City. This position focuses on using data to inform business decisions and improve strategies. The role involves advanced analytics and machine learning to address challenging problems and support data-driven initiatives.