Senior Database Engineer at Webflow | Argentina Remote

Join a pioneering global technology group that's redefining the future. At Qodea, we empower high-caliber professionals to tackle high-stakes challenges that shape their careers. By becoming part of our team, you’re not just taking on projects; you're pioneering solutions to problems that have yet to be resolved.Our elite network of talent is sought after by industry giants such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, especially when deadlines are tight and previous attempts have faltered. Here, you won't engage in traditional consultancy; instead, you will operate at the intersection of technology, design, and human behavior to deliver impactful results swiftly. This is work that leaves a legacy, and you’ll take pride in sharing your journey.We seek individuals who embody:- Innovation in solving complex challenges.- Accountability for every outcome.- Integrity in all endeavors.Role OverviewWe are on the lookout for a visionary leader who can seamlessly connect advanced analytical research with practical, scalable solutions. As a Principal Data Science Engineer, you will utilize knowledge graphs, statistical models, and large language models to develop hybrid inference systems that generate substantial business value. You will be both a researcher and an innovator, striking a balance between theoretical insights and practical application.Responsibilities:Lead the development of advanced recommendation systems and AI-driven reasoning tools.Design hybrid inference frameworks that integrate LLM outputs with structured data sources like knowledge graphs.Implement data vectorization techniques for both textual and graphical data.Research and deploy novel graph-based technologies and algorithms to address intricate problems.Architect solutions that are resilient, trustworthy, and scalable for production environments.Shape company strategy by foreseeing future demands and navigating uncertainty.Qualifications That Will Set You Apart:Deep expertise in graph data modeling and analytics using tools such as Neo4j.Hands-on experience integrating LLMs for tasks like text analysis and data mapping.Proficiency in prompt engineering to direct LLM behavior for specific business outcomes.Solid experience with distributed computing frameworks for large-scale data transformation.A proven history of articulating well-reasoned perspectives to drive optimal technical results.Preferred Qualifications:Previous experience in the adtech or fintech sectors.Master's or PhD in a relevant AI or quantitative discipline.What We Expect:We are developing a world-class delivery center in Buenos Aires and are eager to attract the finest engineering talent in the region. We believe that the best work flourishes through in-person collaboration. A genuine commitment to being present in the office is essential.

Join qodea, a pioneering global technology group that is shaping the future. We provide exceptional professionals with a platform for impactful work that defines careers. Here, you will tackle challenges that have yet to be solved, contributing to groundbreaking projects.Our exclusive team is sought after by industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover for their most pressing and complex challenges, especially when deadlines are tight or solutions have previously eluded others.Say goodbye to conventional consultancy; at qodea, you will be at the intersection of technology, design, and human behavior, delivering quick, tangible results that leave a lasting impact.We seek individuals who exemplify:Innovative problem-solving abilities.Accountability for every outcome.Unwavering integrity.Role OverviewAs a Senior Data Science Engineer at qodea, you will play a crucial role in transforming analytical insights into production-ready models. Your focus will be on core data science and machine learning, particularly in recommendation systems and predictive analytics. You will collaborate within a cross-functional team to ensure our AI solutions are practical, scalable, and robust.Key Responsibilities:Conduct statistical modeling and apply both supervised and unsupervised learning algorithms.Preprocess, clean, and engineer features from large datasets to enhance model performance.Utilize graph structures for analytical insights and work with graph databases.Integrate large language models (LLMs) into applications for reasoning and data comprehension.Design and implement model validation and evaluation frameworks to ensure reliable predictions.Collaborate with MLOps and data engineers to transition models from research to production.Qualifications That Will Make You Stand Out:Proficient in Python for data analysis and machine learning using TensorFlow or PyTorch.Experience with model clustering and segmentation techniques.Strong analytical and critical thinking skills, employing an iterative approach to development.Familiarity with MLOps principles, including versioning and monitoring.Skilled in SQL for data extraction and manipulation.Additional Nice-to-Haves:Experience with data vectorization and emerging vector-based technologies.Knowledge of Google Cloud Platform (GCP) data and ML services.What We Expect From You:We are establishing a world-class delivery center in Buenos Aires and are looking for the region's top engineering talent. We believe that the best work arises from in-person collaboration. Therefore, we expect a genuine commitment to being present in the office one to two days a week, when not engaged in project work, to help cultivate our culture and engage in spontaneous problem-solving.

Xometry (NASDAQ: XMTR) is at the forefront of revolutionizing the manufacturing industry, bridging the gap between innovative thinkers and manufacturers capable of translating ideas into tangible products. Our digital marketplace empowers manufacturers with essential resources to scale their operations while enabling Fortune 1000 buyers to seamlessly access global manufacturing capabilities.We are on the lookout for a Senior Data Scientist to join our dynamic Data Science team. In this pivotal role, you will lead data science projects, offer technical guidance, and utilize data-driven insights to tackle complex business challenges. The ideal candidate will possess extensive knowledge of data science techniques, robust statistical skills, and a track record of delivering impactful data-driven solutions in a fast-paced environment. This position is a 1-year contract with potential for extension.

About the Role:Join our dynamic team at Silver as a Mobile Engineer! This role offers an exciting opportunity to develop, maintain, and distribute our innovative mobile applications, which are at the heart of our product offerings. We’re seeking dedicated professionals who are eager to grow with us and contribute to solving complex technical challenges. Candidates with experience in product-focused environments will excel, as they bring a keen understanding of user-centric solution building. Experience in start-up settings is highly valued, showcasing adaptability and initiative in fast-paced environments.Your Responsibilities:Collaborate with product managers, designers, and engineers to create new features.Design and implement core functionalities for our mobile applications.Develop tools to enhance our development workflows.Engage in code reviews to improve code quality and product performance.Take ownership of your code in production environments.Collaborate with our customer experience team to resolve user issues.Your Qualifications:Proficient in mobile SDKs and application development, including familiarity with common design patterns.Strong cross-team collaboration skills, working effectively within a cross-functional team.A growth-oriented mindset, always eager to learn and understand.Ability to take ownership of challenges and drive solutions.Willingness to tackle open-ended problems and collaborate on diverse solutions.Open to engaging in problem-solving across various areas.Our Technology Stack:iOS: Swift, UIKit, RxSwift, Golang.Android: Kotlin, RxJava, Golang.Interview Process:Initial Screening Interview.Technical Assessment Interview.Client Screening Interview.Take-Home Challenge.In-Depth Interview.

MaintainX is the premier Asset and Work Intelligence platform designed for industrial and frontline environments. Our cutting-edge, IoT-enabled, cloud-based solution enhances reliability, safety, and operational efficiency for physical equipment and facilities. Serving over 12,000 businesses, including industry giants such as Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell, MaintainX is at the forefront of operational excellence. With our recent completion of a $150 million Series D funding round, we have reached a total of $254 million in funding, valuing our company at $2.5 billion. We are seeking a Senior Product Designer to enhance our growing team and help redefine the MaintainX product experience. In this pivotal role, you will spearhead design initiatives throughout the entire product lifecycle—from discovery and research to wireframing, prototyping, and final UI for both web and mobile platforms. You will work closely with Product Managers, Engineers, and fellow designers to create features that simplify complex systems, making them intuitive for non-technical users. Please note: We are looking for candidates based in Argentina who can work in EST hours.

At Qodea, we are a pioneering global technology group, designed for the challenges of tomorrow. We provide exceptional professionals the opportunity to engage in high-stakes projects that can define their careers. Joining us means you will not only tackle complex projects, but also solve problems that have yet to be addressed.Our elite team is sought after by global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when the stakes are high and deadlines seem unattainable. We are not your typical consultancy; instead, we operate at the intersection of technology, design, and human behavior to deliver rapid, impactful results. This is work that makes a difference, and it’s something you’ll be proud to discuss with your peers.We seek individuals who embody:Innovation in addressing the most challenging issues.Accountability for every outcome.Integrity in all actions.Role OverviewWe are in search of a visionary engineer to spearhead our machine learning engineering function. You will oversee the complete lifecycle of machine learning models that drive key product features, from selection and prototyping to large-scale production deployment. This role demands a combination of profound mathematical expertise and top-tier engineering skills to tackle complex business challenges through intelligent systems.As a Principal Machine Learning Engineer at Qodea, you will:Lead the selection, design, and prototyping of ML models for recommendation and predictive analytics.Architect robust ML lifecycles utilizing Directed Acyclic Graphs (DAGs) and automated pipelines to ensure production resilience.Establish strategies for model observability, tuning, and optimization to guarantee sustained post-deployment accuracy.Collaborate with product managers to diagnose problems and deliver effective AI-driven solutions.Mentor team members and remain abreast of advancements in generative AI and large language models (LLMs).Facilitate the integration of ML models into backend processes, ensuring low latency and high availability.What Sets You Apart:Extensive experience in designing and deploying production-grade machine learning systems at scale.Proficient programming skills in Python, with substantial experience in libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.Proven track record in natural language processing, semantic search, or recommendation engines.Demonstrated ability to lead cross-functional teams and shape technical roadmaps.In-depth knowledge of large-scale data processing technologies like Apache Beam, Spark, or Flink.Preferred Qualifications:Experience in fine-tuning and deploying large language models in a production environment.Familiarity with vector databases and technologies such as Elasticsearch.Advanced degree in Computer Science, Statistics, or a related quantitative field.

Join AbbVie, a global biopharmaceutical company, as a Medical Science Liaison (MSL) specializing in Neurology. In this pivotal role, you will serve as a scientific expert and key point of contact for healthcare professionals and stakeholders. Your responsibilities will encompass sharing critical clinical data, facilitating clinical trials, and fostering collaborative relationships within the medical community. You will play a crucial role in advancing treatment options for patients suffering from neurological conditions.

Role Overview GoFundMe is hiring a Senior Data Engineer in Buenos Aires, Argentina. This role focuses on building and maintaining the data systems that power the company’s crowdfunding platform. The Senior Data Engineer will help design, implement, and support data pipelines and infrastructure that drive key decisions across the business. What You Will Do Shape and refine data architecture to meet evolving business needs Design, build, and maintain data pipelines for reliable data flow Support data-driven decision-making by ensuring data quality and accessibility This work directly supports GoFundMe’s mission to empower people through crowdfunding.

Join Canva as the SEO Country Lead for Argentina, where you will spearhead our SEO strategy, ensuring our platform is optimized for local users. You will work closely with cross-functional teams to develop and implement effective SEO campaigns, analyze performance metrics, and identify growth opportunities.Your role will involve conducting keyword research, optimizing content, and improving site architecture to enhance search visibility. As the point of contact for SEO initiatives in Argentina, you will collaborate with global teams to align strategies and share best practices.

Join a pioneering global technology group designed for the future, where exceptional professionals engage in high-stakes projects that define their careers. At qodea, you're not just tackling assignments; you're innovating solutions to challenges that have yet to be addressed.As a member of our elite team, you will collaborate with industry leaders such as Google, Snap, Diageo, PayPal, and Jaguar Land Rover, especially when faced with tight deadlines or when others have encountered obstacles. When a solution is imperative, our teams deliver.Forget mundane consultancy roles; here you will work at the intersection of technology, design, and human behavior, producing rapid, impactful results. This is work that leaves a legacy, and you'll take pride in sharing your accomplishments.Role OverviewWe are seeking a dynamic and skilled Senior Data Engineer to develop and sustain the data pipelines that fuel our cloud and AI solutions. You will manage large datasets, ensuring they are effectively processed and enriched for downstream applications, with a strong emphasis on reliability, scalability, and performance in a cloud-native context.As a Senior Data Engineer at qodea, you will:Create and oversee batch and real-time data pipelines to process product and consumer data.Execute data transformations for deduplication, entity resolution, and feature engineering.Enhance pipeline performance and guarantee high availability within GCP environments.Maintain metadata layers and embeddings for machine learning and personalization services.Ensure data quality through robust validation rules and automated monitoring.Collaborate closely with machine learning engineers to supply high-quality data for model training.Preferred Qualifications:Proven experience with Python, Java, or Scala for data processing.Expertise in BigQuery, SQL, and dbt for managing substantial datasets.Familiarity with various data structures and formats.A detail-oriented approach to data lifecycle management and schema design.Experience with streaming technologies such as Pub/Sub or Kafka.Additional Qualities:Familiarity with MLOps principles and model deployment.Experience in sectors such as fintech or e-commerce is a plus.What We Expect:We are establishing a top-tier delivery center in Buenos Aires and aim to attract the finest engineering talent in the region. We believe that the best results arise from in-person collaboration. We anticipate your presence in the office one to two days a week when not engaged in project work, fostering our culture and enabling spontaneous problem-solving. Your energy and involvement will be crucial in shaping our team dynamics.

Xometry (NASDAQ: XMTR) is at the forefront of transforming industries by bridging innovative thinkers with manufacturers capable of realizing their visions. Our digital marketplace equips manufacturers with essential resources for growth while simplifying access for buyers from Fortune 1000 companies to leverage global manufacturing capabilities.Xometry is actively seeking a Machine Learning Engineer II passionate about enhancing machine learning capabilities and deploying models at scale. In this pivotal role, you will design, implement, and maintain resilient statistical and machine learning models, collaborating closely with data scientists to convert research and experimentation into dependable, high-impact systems. You will utilize your data intuition and engineering expertise to boost model performance, reliability, and visibility, while developing predictive models that assist in pricing, cost estimation, and sourcing recommendations.Key Responsibilities:Design, develop, and optimize machine learning models to enhance Xometry's platform and operational efficiency.Analyze extensive datasets to uncover significant patterns and insights.Collaborate with cross-functional teams to integrate machine learning models into production systems.Adopt and implement best practices in model evaluation, performance tuning, and deployment.Drive technical direction by identifying opportunities to refine modeling techniques, improve data quality, and enhance system architecture.Ensure machine learning solutions are explainable, maintainable, and aligned with business objectives.Facilitate the transition from research to production, ensuring models perform effectively in real-world scenarios as they do in theoretical frameworks.Gain exposure to the latest machine learning frameworks and tools utilized within the manufacturing sector.

Join qodea, a pioneering global technology group dedicated to shaping the future. We provide high-caliber professionals with a platform to engage in transformative work that defines careers. Here, you won't just tackle projects; you will confront challenges that have yet to be solved.As a member of our elite talent pool, you will be the go-to expert for global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when they face seemingly insurmountable deadlines and complex problems. Your contributions will guarantee effective solutions where others have faltered.Say goodbye to mundane consultancy work. At qodea, you will operate at the intersection of technology, design, and human behavior to achieve swift, impactful outcomes. This is the kind of work that resonates and leaves a lasting impression.

Location: Buenos Aires, ArgentinaJoin a dynamic global technology group headquartered in London. At Qodea, we leverage cutting-edge technologies and expert talent to empower organizations to navigate change effectively.With a robust team of over 600 professionals, predominantly comprising hands-on technical experts, we operate across Europe, North America, and Asia.We enable our clients to:Work Smarter – By creating modern, scalable infrastructures, applications, and workflows that elevate profitability.Engage Personally – Through the development of captivating digital experiences that drive sales and foster customer loyalty.Stay Secure – By implementing robust security, governance, and compliance frameworks to safeguard against threats and operational disruptions.We collaborate with leading global brands to tackle their most pressing challenges, from tightly regulated financial sectors to agile tech startups and multinational retailers.With a commitment to delivering measurable results swiftly, we partner with clients to maintain and optimize their operations long-term while enhancing their teams' capabilities.Make Your Work MatterAt Qodea, we value impactful work. This position is designed for innovators who excel at solving complex problems, accountable for delivering tangible results, and embodying integrity in critical situations.As the Lead for the Argentina Delivery Centre, you will establish and guide a premier engineering Centre of Excellence. This is not a conventional delivery centre; it is a team of exceptional engineers dedicated to serving some of the globe's largest corporations in cloud infrastructure, data engineering, and AI/ML. Your role involves team building, defining the engineering culture, setting technical standards, and integrating Argentine engineers with onshore teams in the US and Europe to provide enterprise-level cloud and AI services.We aspire to create one of the finest workplaces for engineers in Argentina, recognized for its engineering culture, craftsmanship, and the caliber of its professionals. Proficiency in business-level Spanish is expected as English is the primary business language at Qodea.

As the Country Manager for Argentina at Canva, you will be at the helm of our operations in one of the most dynamic markets in Latin America. Your primary responsibility will be to drive growth, foster partnerships, and ensure that our products resonate with local users. This role requires a visionary leader who can navigate the intricacies of the Argentinian market while aligning with Canva's global mission to empower everyone to design.

Role Overview Coderio is looking for a Senior Analytics Data Engineer in Buenos Aires. This role focuses on shaping data into practical insights that support business decisions and operational improvements. The engineer will use advanced analytics tools and methods to help refine and implement Coderio’s data strategy. What You Will Do Work with cross-functional teams to understand data needs and requirements Build and implement data solutions that support analytics and reporting Apply advanced analytics tools and methodologies to drive efficiencies Contribute to ongoing improvements in data processes and strategy Location This position is based in Buenos Aires.

Join qodea, a pioneering global technology group poised for the future, where you will engage with high-caliber professionals in high-stakes projects that shape your career. At qodea, you're not just tackling tasks; you're innovating solutions to problems that have yet to be solved.Our exclusive roster of talent includes some of the best minds in the industry, sought after by global leaders like Google, Snap, Diageo, PayPal, and Jaguar Land Rover when they face impossible deadlines or challenges that have stumped others.Leave behind routine consultancy and immerse yourself in an environment where technology, design, and human behavior converge to create impactful results swiftly. This is the kind of work that not only makes a difference but also leaves a lasting impression.

Xometry (NASDAQ: XMTR) is at the forefront of modern manufacturing, connecting innovative thinkers with manufacturers who can transform their ideas into reality. Our digital marketplace equips manufacturers with essential resources for business growth while enabling Fortune 1000 companies to access global manufacturing capabilities seamlessly.Senior Data EngineerWe are seeking a passionate Senior Data Engineer to join our Marketplace Services team. In this role, you will play a critical part in building and maintaining Xometry's core data pipelines and models, which are vital for analyzing key business performance metrics. You will also contribute to scaling data modeling efforts across our global entities, ensuring that your impact is felt throughout our rapidly expanding organization.Key Responsibilities:Collaborate closely with data scientists, ML engineers, and product teams to translate business requirements into scalable, maintainable data solutions.Design, document, and maintain robust data pipelines utilizing tools such as dbt, Dagster, Snowflake, Estuary, and Airbyte.Facilitate deployment and release of features through software integration to enhance devops and CI/CD processes.Architect, build, and manage cloud-based (AWS) data infrastructure, optimizing for scalability, performance, and cost-effectiveness as our data volume increases.Create frameworks and internal self-service tools that empower the data team to deliver value more efficiently.

About UsAt BriteCore, we are an innovative and forward-looking company dedicated to empowering Property & Casualty (P&C) insurers with cutting-edge cloud-native technology. Our mission is to facilitate growth and enhance operational efficiency for our clients.Our software platform is essential for our carrier customers, providing an all-encompassing core insurance solution that manages policies, billing, and claims. With real-time analytics and user-friendly digital portals for agents and policyholders, we are at the forefront of the transition to modern technology, continually innovating to meet the dynamic needs of the insurance sector.We pride ourselves on fostering an inclusive and collaborative work environment, where team members are encouraged to share ideas, challenge conventional thinking, and pursue personal and professional growth. Our distributed team is driven by a passion for transforming the insurance landscape and delivering outstanding service.Join us at BriteCore and become part of a company that is revolutionizing insurance technology. You'll have the chance to collaborate with talented professionals and make a significant impact. If you’re eager to shape the future of insurance software, we’d love to connect.

Join Talan as a Senior Data Lead Engineer and take your career to the next level while enjoying a relocation opportunity to beautiful Spain! We are looking for an expert in data engineering who can lead innovative projects and drive our data strategy forward.In this role, you will be responsible for designing and implementing robust data architectures, ensuring data quality, and optimizing data workflows. You will collaborate with cross-functional teams to harness data and deliver insights that empower decision-making.