Senior Data Engineer

Neoris is seeking a Data Architect / Engineer with a focus on Datalake solutions. This position is based in Mexico and centers on designing and building data systems that support business needs. Role overview This role involves shaping data architecture and engineering approaches for Datalake projects. The work includes planning, implementing, and maintainin…

As a Data Architect at Instructure, you will lead the design and implementation of robust data solutions that drive our innovative learning management systems. Your expertise in data modeling, architecture, and analytics will be crucial in enhancing our platforms and ensuring they meet the evolving needs of our users. You will collaborate with cross-functional teams to define data strategies and establish best practices in data governance.

Join Truelogic as a Senior Enterprise Data Architect in the dynamic field of biotechnology. In this role, you will leverage your extensive experience in data architecture to design and implement robust data solutions that drive our innovative biotechnological advancements. Your expertise will be crucial in ensuring the integrity, availability, and security of data across our enterprise systems.

Join Nagarro as a Senior Staff Engineer - AI Architect, where you will lead groundbreaking AI initiatives and shape the future of technology. In this pivotal role, you will be responsible for designing and implementing advanced AI architectures that drive innovation and efficiency across various projects.As a key member of our engineering team, you will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring that our products meet the highest standards of quality and performance. Your expertise in AI technologies combined with your leadership skills will play a critical role in mentoring junior engineers and guiding project teams.

Join our dynamic team at Encora as a Senior Data Engineer. In this role, you will design, implement, and maintain robust data pipelines and architectures that support our analytics initiatives. You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure is scalable, reliable, and efficient.Your expertise will help us optimize our data processing capabilities and drive better decision-making across the organization. If you are passionate about data engineering and thrive in a collaborative environment, we want to hear from you!

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.

Join Nagarro as a Senior Staff Engineer specializing in AI Architecture, where you will lead innovative projects that leverage artificial intelligence to transform industries. In this role, you will collaborate with cross-functional teams to design and implement advanced AI solutions, ensuring scalability and performance. Your expertise will drive the technical direction of AI initiatives, enabling our clients to achieve their business objectives through cutting-edge technology.

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.

Peek is revolutionizing the experiences industry, serving a diverse range of sectors from museums to tours and activities. Our AI-driven platform has facilitated over $7 billion in bookings, empowering thousands of merchants to boost their revenues, optimize their time, and create exceptional guest experiences. Our esteemed clientele includes renowned institutions like MoMA, Whitney Museum, Seattle Aquarium, and Bryant Park. With over $150 million raised from prominent investors including Westcap, Goldman Sachs, and SpringCoast Partners, Peek is positioned for accelerated growth. Discover more at www.peek.com.As a recognized remote-first organization, we are honored to be listed among America's Best Startup Employers by Forbes and as a 2025 and 2026 Best Place to Work by Built In. Our global team of 'Peeksters' is dedicated to being customer-centric, achieving significant goals, collaborating meaningfully, and continuously improving.The RoleWe are in search of a passionate Senior Data Engineer to shape and execute our vision for reliable data across the organization. High-quality data is vital to Peek's success as a rapidly expanding startup. You will play a key role in developing our Data Engineering practice and collaborating with various internal teams including engineering, product, and business functions to address their data requirements.We value the unique set of skills that each Data Engineer brings. Whether your expertise lies in data modeling, stream processing, integrations, or reporting, we would love to connect with you!Learn more about Peek’s technology stack here.ResponsibilitiesUtilize the full potential of GCP, DBT, Airflow, and an array of data pipeline products to convert diverse data sources into high-performing, resilient, accurate, and interpretable datasets for Business Intelligence and other data products.Design, develop, and manage data pipelines and models that support internal analytics for product and business teams.Lead the acquisition of new data and the enhancement of existing data sources, fostering relationships with production engineering teams to manage our data structures as products evolve.Enhance our data visualization tools and platform to assist the team in creating dynamic reporting tools.Contribute to the long-term architecture of Peek's AI data serving layer, including feature engineering patterns and online/offline feature consistency.

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.

This position is specifically for candidates located in or around Mexico City, Mexico. Applications from other regions will not be entertained.This role necessitates up to 50% travel within the LATAM region.We are seeking a skilled pre-sales professional with a proven history of enabling large enterprises to harness data effectively. Collaborating closely with the Enterprise Account Executive (AE), the Solutions Architect will formulate and steer the technical strategy for our key accounts, driving the adoption of our products and promoting deeper integration of Machine Learning (ML) and Artificial Intelligence (AI) solutions. Your expertise in value-based selling, technical account management, and technical leadership will be essential in maximizing success across these accounts. You will work alongside a team that includes hands-on resources tasked with developing proofs of concept and showcasing Databricks' offerings. A strong technical understanding of ML and AI applications across various critical use cases is essential.Your Impact:Serve as the principal technical liaison for Databricks among various clients.Guide your clients through a transformative journey, assisting them in evaluating and integrating Databricks into their operational strategies.Execute the technical strategy within the account, with a profound comprehension of the overarching strategy.Foster a network of technical champions within the organization.Align technical strategies with Databricks solutions.Provide structured mentorship to fellow team members.Earn the respect of peers through your experience, insights, and contributions.

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.

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 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.