Data Architect / Engineer - Datalake

At Lucidworks, we are at the forefront of digital transformation for some of the globe's leading retailers, financial services firms, manufacturers, and B2B commerce organizations. Our belief is that an exceptional digital experience begins with search and browsing capabilities. By leveraging our Deep Learning technology, we analyze user behavior and employ machine learning to seamlessly connect users with the products, content, and information they seek. Renowned brands such as American Airlines, Lenovo, Red Hat, and Cisco Systems trust Lucidworks' comprehensive suite of products to enhance commerce, customer service, and workplace applications, creating delightful experiences for customers and empowering employees. We are committed to fostering a diverse and inclusive workplace, believing that it empowers us to deliver our best work. Lucidworks is an Equal Opportunity employer, welcoming talent from a broad spectrum of backgrounds, orientations, origins, and identities in an inclusive and non-discriminatory environment.Please note: To maintain an efficient hiring process, we kindly request that candidates refrain from contacting our hiring managers or team members directly. All communications should be conducted through our official application portal. We will thoroughly review your application and reach out if your qualifications align with our needs. Thank you for considering a career at Lucidworks!Role OverviewThe Data Acquisition team is a globally diverse group dedicated to developing connector plugins that form the backbone of Lucidworks' search and personalization products. These connectors are vital for indexing client data from a multitude of content repositories including filestores, databases, CRMs, and intranets. As part of this team, you will be tasked with delivering all plugins and ensuring the successful operation of our Data Integration Platform.In your role as a Software Engineer, you will create new connector plugins and maintain current ones to address bugs, adapt to changes in data repositories, or introduce features based on client feedback. Your contributions will also extend to the enhancement of our Data Integration Platform, aiming to provide a robust and efficient solution for data ingestion from clients’ systems.The ideal candidate will be proficient with modern development tools, including AI-assisted coding and debugging tools (like large language models), while also demonstrating strong independent reasoning capabilities. We value engineers who utilize tools to enhance their understanding and execution rather than substitute core design judgment, debugging diligence, or critical analysis.

Speechify’s mission is to remove barriers to learning caused by reading challenges. With a user base of more than 50 million, Speechify turns PDFs, books, Google Docs, news articles, and websites into audio, helping people read faster and retain more. Our text-to-speech technology powers apps for iOS, Android, Mac, Chrome, and the web. Google named our Chrome extension Extension of the Year, and Apple recognized us with a 2025 Design Award. Speechify operates fully remotely, with no physical office. Nearly 200 team members, including frontend and backend engineers, AI researchers, and industry veterans from Amazon, Microsoft, Google, and more, work together from around the world. Our team also includes graduates of top PhD programs and founders of companies like Stripe, Vercel, and Bolt. Role Overview The Data team within our AI division is looking for a Software Engineer focused on data infrastructure and acquisition. This position plays a central role in collecting and managing the data that powers model training. The team’s goal: build and maintain high-quality datasets at petabyte scale while controlling costs through strong infrastructure and engineering practices. What You’ll Do Find and integrate new sources of audio data into the ingestion pipeline. Manage and improve the cloud infrastructure for data ingestion, using Google Cloud Platform (GCP) and Terraform. Work with scientists to optimize for cost, throughput, and data quality, delivering better datasets to support advanced models. Collaborate with the AI team and company leadership to shape the dataset roadmap for future consumer and enterprise products. Location This role is based in Mexico City, Mexico.

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.

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

Tiger Analytics is at the forefront of revolutionizing analytics through cutting-edge technology and innovative solutions tailored for our clients. As a premier advanced analytics consulting firm, we collaborate with organizations to harness their data effectively, driving significant business results. With a robust emphasis on artificial intelligence and data science, we empower Fortune 100 companies to unlock the full potential of their data with scalable and efficient engineering solutions.We are excited to announce an opportunity for a Data Engineering Lead to guide our data initiatives. In this pivotal role, you will design and implement data engineering projects, ensuring a robust data architecture while leading a team of engineers to deliver high-quality data solutions. You will work in close collaboration with cross-functional teams to guarantee that our data strategies align seamlessly with business objectives and yield actionable insights.

About PMGRecognized as one of the Ad Age Best Places to Work for 11 consecutive years and featured in Fast Company Best Workplaces for Innovators since 2022, PMG is a leading independent marketing services and technology company dedicated to inspiring individuals and brands to believe in limitless possibilities. Our mission is fueled by a commitment to shared achievements, leveraging strategic business transformations, creative solutions, media, and insights through our proprietary operating system, Alli, to provide state-of-the-art digital solutions and innovative media strategies.With a global footprint of over 900 talented professionals, our collaborations with ambitious brands such as Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods span across more than 85 countries.Role OverviewThe AI & Software Engineer III is pivotal in designing, constructing, and maintaining the foundational systems that underpin PMG's data and AI ecosystem. This position is centered on developing and optimizing scalable data pipelines, overseeing data ingestion and transformation processes, and facilitating the integration of both internal and external data sources.You will collaborate closely with engineers, data analysts, and product teams to ensure the reliability, performance, and accessibility of data that drives insights and intelligent automation throughout the organization. This role is ideal for an individual who excels at the intersection of software engineering, data infrastructure, and AI-driven innovation.Key ResponsibilitiesData Systems & Pipeline DevelopmentDesign, develop, and maintain scalable data ingestion systems that connect various internal and external data sources.Manage data workflows across cloud platforms such as AWS S3 and Snowflake.Implement efficient ELT pipelines using modern tools and frameworks (e.g., dbt, Snowflake).Monitor and ensure data quality, integrity, and consistency across systems, employing validation mechanisms.Collaborate on infrastructure-as-code deployments and CI/CD practices for data systems.Software Engineering & ArchitectureContribute to the design and implementation of APIs and internal services that support PMG’s broader product ecosystem.Write clean, efficient, and testable code in contemporary programming languages, particularly focusing on Python.Adhere to software engineering best practices, including version control, testing, and observability.

Role overview Lingarogroup is hiring a Data Engineer with Azure expertise for its Mexico-based team. The position focuses on building and maintaining data pipelines that gather information from sources such as databases, APIs, and streaming platforms. The primary objective is to ensure smooth, accurate data flow and integration, preparing data for downstream use. Key responsibilities Design and build data pipelines to efficiently ingest data from multiple sources. Integrate and transform data to fit target models and formats. Create and optimize storage solutions, including data lakes and data warehouses. Use partitioning, compression, and indexing to enhance storage and retrieval performance. Identify performance bottlenecks and tune queries for faster data access. Work closely with data scientists, analysts, and business stakeholders to understand their requirements. Deliver structured and optimized datasets for analysis and modeling. Explain complex technical concepts in clear terms to non-technical team members. Mentor junior data engineers, sharing best practices and technical insights. Work style Work independently and take responsibility for solutions from initial design through delivery. Contribute actively within Agile and Scrum teams.

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.

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.

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.

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.

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.

Make a meaningful impact. At AlertMedia, our mission is clear: to protect lives and reduce losses by identifying active threats worldwide and ensuring timely communication when emergencies arise that threaten personal safety and business operations. Our core values guide us towards fulfilling our crucial mission of keeping individuals informed and safe: We are human, not machines. Customer satisfaction is our top priority. Collaboration drives our success. Simplicity is our competitive edge. Our reputation is invaluable. Diligence is rewarded. As one of the fastest-growing software companies in the country, we are dedicated to innovation and excellence.

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.

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.

Join our innovative team at SimplePractice, where we are dedicated to enhancing the technology landscape for healthcare professionals. As a Software Engineer, you will play a crucial role in developing and maintaining high-quality software solutions that empower our users to streamline their practices.

Join inetum2 as a Data Engineer in Mexico City, where you will have the opportunity to work on cutting-edge data solutions. In this role, you will be responsible for designing, developing, and maintaining data pipelines and architecture that support our analytics and business intelligence initiatives.

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.

Join a leading IT company that is making significant strides across Latin America! We are seeking a talented and experienced GCP Data Engineer to contribute to our growth and success.Proven expertise in data governance is essential.Strong background in data architecture, including proficiency in Data Lakes, Lakehouse, and contemporary Data Warehouses. You should also have hands-on experience with data quality implementation, automated validation, metadata management, technical lineage oversight, schema handling, and security protocols, particularly with respect to PII management.Hands-on SQL skills and familiarity with governance tools such as data catalogs, lineage tracking, and data quality solutions are highly advantageous.Fluent conversational skills in both English and Spanish are a must. (Assessment will be conducted).If you are a foreign national residing in Mexico, please ensure you possess a valid INE, CURP, NSS, and RFC.