Data Engineer specializing in Web Scraping & Data Ingestion

Join our innovative team at AECOM as a Special Installations Engineer, specializing in data centers. In this role, you will be pivotal in designing and implementing cutting-edge installation solutions that meet the highest industry standards. Collaborate with a dynamic team to enhance our infrastructure projects and ensure seamless operational performance.Your Responsibilities Will Include:Developing installation strategies for data center projects.Coordinating with multidisciplinary teams to ensure project success.Conducting site assessments and feasibility studies.Ensuring compliance with safety and regulatory standards.

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.

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

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 maintaining data solutions that help turn raw data into useful insights for decision-making. What you will do Design and implement data architectures tailored for Datalake environments Work with modern data technologies to support scalable and reliable solutions Help transform complex data into actionable insights for business stakeholders Who we’re looking for Experience with Datalake technologies and data engineering practices Ability to design data systems that enable business intelligence and analytics Creative, analytical mindset for solving data challenges

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.

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.

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 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 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 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.

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 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.

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.

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.

Join AECOM as a Structural Engineer specializing in Data Centers. In this role, you will be responsible for designing and analyzing structural systems, ensuring compliance with safety and quality standards. You will collaborate with a multidisciplinary team to deliver cutting-edge solutions for our clients.

Join our innovative team at AECOM as an Electrical Engineer for Data Centers. You will be pivotal in designing, developing, and maintaining electrical systems that support cutting-edge data center operations. Your expertise will contribute significantly to the efficiency and reliability of our infrastructure.As part of our team, you will collaborate with multidisciplinary engineers to ensure the successful execution of projects from conception to completion.

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.