Data Engineer

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.

About the Role Talan is looking for a Big Data Developer to help strengthen data-driven solutions. This position is based in Buenos Aires and includes relocation to Spain.

Join our dynamic team as a Senior Full Stack Developer at Talan, where you will have the opportunity to work on innovative projects and lead the development of cutting-edge solutions. This role offers the chance to relocate to beautiful Spain, providing both personal and professional growth in a vibrant environment.As a Senior Full Stack Developer, you will be responsible for designing, developing, and maintaining web applications using a variety of technologies. Your expertise in both front-end and back-end development will be crucial in delivering high-quality products that meet our clients' needs.

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 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.

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.

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.

Work Arrangement and Location This is a full-time position based in Buenos Aires, Argentina. Flexible work options are available: choose hybrid or fully remote arrangements to fit your needs. Role Overview Trinetix is looking for a Senior SQL Data Engineer with strong Power BI skills. The role centers on managing the data and analytics support queue, with responsibility for monitoring, troubleshooting, and resolving issues across cloud data platforms, ETL/ELT pipelines, and Power BI reporting. The position also involves handling SQL-level data fixes and record corrections that come from application support queues. At least 5 years of relevant experience is required for this role, as specified by contractual staffing requirements. What You Will Do Manage the data and analytics support queue, addressing pipeline failures, ETL/ELT errors, and Power BI dashboard issues Oversee and correct data pipelines in Azure and AWS environments Develop and run SQL scripts for data corrections, record adjustments, and diagnostic queries Support Snowflake and Databricks, including query optimization, job failure analysis, and cluster management Maintain CI/CD pipelines to support data operations, including Tier 1 monitoring and Tier 2 remediation Handle SQL-intensive overflow tickets from application support queues, such as HUB-Report and data corrections Work with client data teams on schema changes, pipeline improvements, and capacity planning Implement minor enhancements to data platforms (projects up to 80 engineering hours) Support vehicle telematics data infrastructure and related ingestion pipelines Required Technical Skills Azure: Proficiency with Data Factory, Azure SQL, and Synapse Analytics (minimum 5 years required) AWS: Experience with S3, RDS, and Glue for data pipeline and infrastructure support Snowflake: Ability to write queries, load data, troubleshoot performance, and use Snowpipe Databricks: Skilled in executing notebooks, managing clusters, diagnosing job failures, and understanding Delta Lake basics Power BI: Expertise in dashboard connectivity, troubleshooting data sources, resolving refresh failures, and basic DAX SQL: Advanced knowledge for complex queries, stored procedures, and performance tuning across SQL Server and cloud databases Pipeline Tools: Familiarity with Apache Airflow or Azure Data Factory for monitoring and repairing DAGs/pipelines Python: Proficient in scripting for data transformation, automation, and diagnostics

Veeam is a pioneering force in the Data and AI Trust landscape, dedicated to empowering organizations to fully comprehend, safeguard, and fortify their data and AI frameworks. As the premier provider in both data resilience and data security posture management, Veeam is uniquely positioned at the intersection of identity, data, security, and AI risk management. With headquarters in Seattle and a presence in over 30 countries, Veeam proudly serves more than 550,000 customers globally, who rely on us to sustain their operational continuity. Join our dynamic team as we boldly advance together, fostering growth, learning, and making a significant impact for some of the world's most notable brands.About the Role: In light of Veeam's recent acquisition of Securiti AI—a vanguard in AI-driven data security posture management (DSPM)—we are on the lookout for a Senior Sales Engineer to spearhead technical leadership within our sales team, with a keen focus on the Securiti AI portfolio. You will collaborate closely with a Securiti Sales Specialist and support 3–5 Account Executives and Veeam Solution Engineers as the go-to technical subject matter expert. Your role will be instrumental in guiding customers from the initial needs assessment through to solution design, providing hands-on demonstrations and proof-of-concepts to highlight the value of our offerings. To succeed in this position, you will need robust technical expertise and the ability to cultivate trust with clients. What You’ll Do: Serve as the primary technical contact for Securiti AI solutions throughout the sales processFacilitate technical discussions and deliver tailored security solutionsAddress customer requirements in data discovery, posture management, and complianceDesign and present engaging product demonstrations and proof-of-conceptsWork in tandem with product, engineering, and customer success teams to ensure seamless transitions What You’ll Bring: Extensive experience in pre-sales or sales engineeringDeep understanding of data and/or cloud securityProficient communicator with both technical and business stakeholders10+ years of technical sales experience in security15+ years in Software/SaaS/Enterprise technical salesPractical experience with AWS, Azure, or GCPFamiliarity with data privacy/security standards (e.g., GDPR, CCPA)

Role overview The Senior Data Architect at betsol in Buenos Aires plays a key part in how data is organized and accessed throughout the company. This position focuses on designing and building data solutions that strengthen business intelligence and enhance how data is managed. What you will do Design and build scalable data architectures tailored to business requirements. Collaborate with cross-functional teams to create solutions that enable data-driven decision making. Develop and optimize data models with an emphasis on performance and scalability. Mentor junior colleagues and help foster a culture of ongoing learning and improvement. Requirements Proven experience designing data architectures for complex organizations. Strong skills in data modeling and supporting business intelligence initiatives. Ability to work well with colleagues in different roles and communicate technical concepts clearly. Interest in mentoring and supporting the growth of team members.

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.

Join NuBank as a Senior Analytics Engineer and play a pivotal role in transforming data into actionable insights. You will collaborate with cross-functional teams to design and implement advanced analytics solutions that drive strategic decisions. If you are passionate about leveraging data to influence business outcomes and thrive in a dynamic environment, we want to hear from you!

At Xometry (NASDAQ: XMTR), we are at the forefront of innovation, connecting visionary thinkers with manufacturers who can turn their ideas into reality. Our digital marketplace empowers manufacturers with essential resources to expand their businesses while providing Fortune 1000 companies with seamless access to global manufacturing capabilities.We are seeking a strategic and detail-oriented Senior Data Analyst to join our team during a pivotal transition to a pay-for-performance advertising model. In this vital role, you will act as a key liaison among Marketing, Sales, Yield, and Product teams.You will oversee the complete lifecycle of advertising data—from tracking site traffic acquisition to optimizing monetization strategies. Your contributions will have a direct impact on our marketing expenditures, pricing strategies, and inventory management, driving overall revenue growth.

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.

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.

Role Overview Delivery Hero is looking for a Senior Data Analyst in Buenos Aires. This role focuses on turning data into clear insights that support business decisions. The position works closely with teams across the company to understand needs, build data models, and provide recommendations that help shape strategy. What You Will Do Analyze large datasets to identify trends and opportunities Work with multiple teams to understand business challenges and data requirements Develop and maintain data models that support ongoing analysis Present findings and actionable recommendations to stakeholders Location This position is based in Buenos Aires.

As the Lead Data Manager for Clinical Trials, you will play a pivotal role in overseeing comprehensive data management activities for large, complex studies, while also managing smaller projects with minimal supervision.CommunicationAct as the primary communication liaison for project teams and internal departments concerning clinical data management.Serve as the main contact point for clients and vendors regarding all data management elements of clinical projects and reporting.Data ManagementOversee coordination of data management tasks within clinical projects, including EDC development, data collection, cleaning, reconciliation, Database Lock, and the creation of final integrated databases and deliverables.Take lead on clinical data management activities, which involve:Review of study documentsDevelopment and review of Data Management plans and project-specific guidelinesCoordination and execution of user acceptance testingCreation of Data Validation Plans and Edit Check SpecificationsSupervision of data entry processes and providing feedback to data entry staff regarding data quality and issuesConducting data validation through both automated and manual inspections, resolving discrepancies, generating queries, and communicating with clinical trial teams on data qualityHandling non-CRF electronic data (including receiving, archiving, and loading into study databases, resolving reconciliation issues, and liaising with vendors on data quality)Managing database edits for paper CRF studiesPerforming manual CRF reviews (non-medical checks)Executing the clinical database lockSupervising the processing, dispatch, and archiving of CRFs/queriesContribute to the design of CRFs and other data collection forms, ensuring accuracy and compliance with protocols.Develop CRF completion guidelines.Engage in medical data coding using coding dictionaries and reviewing coding listings (additional training may be required for Lead DMs with medical/biology backgrounds).Conduct SAE reconciliation.Review and approve electronic data transfer specifications.Document ManagementCollaborate with the Document Center to maintain the TMF and eTMF.Quality ControlPerform database QC checks and maintain thorough documentation.Participate in internal and third-party audits/inspections related to Data Management.Assist in addressing and resolving audit findings pertaining to Data Management.TrainingProvide training and support to team members as necessary.

Are you ready to make a difference? Join our team! GoFundMe is the premier global platform for community-driven support, devoted to empowering individuals to assist one another. By connecting individuals and non-profits in a unified space, we make it simple and secure for people to seek help and support various causes—both for themselves and others. Since 2010, our community has successfully raised over $40 billion. We are seeking a talented Staff LLM Engineer to join our Applied Science organization. In this pivotal role, you will be responsible for designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI techniques, including generative AI, personalization, recommender systems, search and retrieval systems, taxonomy, and classification systems. You will need to demonstrate strong end-to-end execution and possess a broad and deep expertise in machine learning, AI, and secure software development. This position is hybrid. Candidates must be based in Buenos Aires, Argentina. Your Responsibilities: Design and implement a variety of AI and ML applications and workflows, such as agents, batch inferencing processes, and real-time inferencing solutions. Contribute to the development of search and retrieval algorithms, recommender systems, and personalization algorithms. Lead research and development efforts for sophisticated machine learning models, as well as model training and evaluation pipelines. Enhance operational excellence by spearheading initiatives to streamline AI and machine learning workflows, establishing standardized procedures to ensure high-quality outcomes across our AI/ML projects and systems. Continuously monitor and assess emerging AI and machine learning research and technologies, integrating relevant advancements into our solutions. Collaborate effectively with technical and non-technical colleagues, including data scientists, software engineers, product managers, and business stakeholders, to ensure the successful execution of machine learning projects. Mentor and coach fellow engineers, fostering a culture of collaboration, scientific inquiry, continuous learning, and engineering excellence. Utilize a diverse range of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, and GitHub, to develop, deploy, and maintain scalable and robust machine learning systems.

About CookUnity:In a world where convenience has overshadowed the essence of food, CookUnity was established in 2018 as a pioneering platform that reconnects people with authentic culinary experiences crafted by talented chefs. Today, we proudly deliver 50 million meals annually from some of the finest chefs, ensuring they are fresh, ready-to-eat, and infused with the passion that nourishes both body and spirit.We are not stopping there; CookUnity is evolving into a vibrant marketplace dedicated to our mission: empowering chefs to nourish the world.If this mission resonates with you, we invite you to explore this exciting opportunity.About the Team:Our Data Team is a dynamic and innovative group that thrives on addressing complex business challenges and driving growth through analytics. We deliver vital insights that empower teams across the organization to make informed decisions, ultimately enhancing operational efficiency. If you are passionate about leveraging your analytical skills to influence an organization's future, this role presents a thrilling opportunity to achieve your goals.The Role:As a Senior Analytics Engineer at CookUnity, you will serve as a data product owner within a dedicated team. Your mission is to streamline the process for analysts and data scientists, minimizing the time spent on data discovery, comprehension, and preparation before they dive into their core tasks. You will possess ownership and autonomy over specific data entities and collaborate on a unified data architecture that the team collectively manages. As your data products evolve, you will present them as Tableau connections, sheet extracts, or other endpoints required to fulfill our objectives.While some of our analytics engineers focus on data infrastructure and integrations, others excel at visualizing data dynamically. Regardless, all team members are equipped to handle complex raw data, design analytics-friendly data products (including entities and flat tables), and deliver them to a production standard that the entire organization can rely on. At CookUnity, we value a high-agency mindset, collaborative spirit, proven success, and a genuine commitment to personal development.