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Experience Level
Manager
Qualifications
MUST HAVE:5+ years of experience in data engineering within fast-paced, cloud-native environmentsExpertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)Experience in developing and managing scalable ETL pipelines and data lake infrastructureFamiliarity with distributed systems, Spark, and data quality best practicesStrong collaboration skills to support BI, analytics, and engineering teamsEXPERIENCE: 5+ years of data engineering experience in an AWS environment where data influences decision-making across product, marketing, and operations.
As The Discovery and Conversion Company, our goal is to connect consumers with top brands through innovative, data-driven content and technology.
Headquartered in South Florida, we operate with a remote-first team across 15+ countries, fostering a high-performance culture characterized by agility, ownership, and measurable impact.
WHY JOIN US?
At Launch Potato, you will accelerate your professional growth by taking ownership of outcomes, moving swiftly, and making a significant impact alongside a global team of high achievers.
About Launch Potato
Launch Potato is a leading digital media company that excels in connecting consumers with top brands through data-driven strategies. With a diverse team and a commitment to innovation, we create impactful content that drives engagement and growth.
WHO ARE WE?Launch Potato is a thriving digital media organization that engages over 30 million visitors each month through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As The Discovery and Conversion Company, our goal is to connect consumers with top brands through innovative, data-driven content and technology.Headquartered in Sou…
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.
Join Our Team as a Data EngineerAt AlixPartners, we are dedicated to solving complex challenges by transforming insights into innovative solutions that deliver lasting value to businesses, their people, and the communities we serve. Our products are strategically designed to create meaningful impact, ensuring sustainable growth and success for our clients. We cherish the diversity of thoughts and experiences that our employees bring to our firm and are committed to fostering an inclusive environment where everyone can thrive.Embracing a hybrid work model, AlixPartners supports our team members in achieving work-life integration. This role combines both in-person and remote work, engaging users appropriately in business conferences and in-person workshops while adhering to a traditional product development cadence.
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.
Full-time|Hybrid|Buenos Aires, Buenos Aires, Argentina
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.
Full-time|Hybrid|Buenos Aires, Buenos Aires, Argentina
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
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.
WHO WE ARE?Launch Potato is a thriving digital media company dedicated to connecting over 30 million monthly visitors with top brands such as FinanceBuzz, All About Cookies, and Only In Your State.As The Discovery and Conversion Company, our goal is to engage consumers with leading brands through technology and data-driven content.Based in South Florida with a remote-first workforce across 15 countries, we foster a high-growth, high-performance culture where speed, accountability, and measurable impact are pivotal to success.WHY JOIN US?At Launch Potato, you’ll advance your career by taking ownership of results, working quickly, and driving impact within a global team of top performers.
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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 Blend360 as a Data Quality Engineer where you will be pivotal in ensuring the accuracy, completeness, and reliability of our data. You will work closely with data architects, data scientists, and business analysts to create robust data quality frameworks and processes that enhance our data-driven decision-making capabilities.
Why Join dLocal?At dLocal, we empower some of the largest global brands to facilitate payment collection across 40 emerging market countries. Our innovative payment processing solutions help businesses enhance conversion rates and seamlessly expand their payment operations. As both a payment processor and a merchant of record in the regions we serve, we enable our partners to tap into the world’s most rapidly growing markets. Joining our team means becoming part of a vibrant global community, where you’ll collaborate with over 1000 colleagues from more than 30 nationalities. Your work will have a profound impact on the everyday lives of millions. We are innovators who embrace challenges, prioritize customer satisfaction, and if this resonates with you, we invite you to thrive with us.What’s the Role? We are seeking a talented Java Specialist to join our Core department. In this pivotal role, you will be instrumental in designing and implementing architectural systems that underpin our current and future Java applications. Collaborating closely with our development team, your primary objective will be to ensure that our solutions are efficient, scalable, and meet client specifications. To succeed in this position, you must have a deep understanding of software and architecture design patterns, coupled with advanced Java programming skills. A thorough comprehension of the overarching requirements and goals of the department is essential. Leveraging your expertise, you will contribute to the ongoing enhancement of our technology stack and play a key role in shaping the future of our department. Your strategic thinking and ability to see the bigger picture will be crucial in this dynamic and challenging environment.
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.
Full-time|Hybrid|Buenos Aires, Buenos Aires, Argentina
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.
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.
Join coderio as a Full Stack Engineer specializing in Healthcare Data and AI. We are looking for a passionate and skilled engineer to be part of our innovative team where we leverage technology to enhance healthcare solutions. You will work on building robust applications that analyze and interpret healthcare data, driving insights through AI techniques.
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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.
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)
Full-time|On-site|Buenos Aires, Buenos Aires, Argentina
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 Belong as a Financial Data Analyst, where you'll transform financial data into strategic insights. You will extract, analyze, and structure data from various sources, enabling us to make informed decisions that drive our mission of empowering homeownership. Your role will evolve from generating reports to automating processes and enhancing integrations between our management and accounting systems. If you have a passion for data, a keen analytical mindset, and a desire to solve complex problems, this is the perfect opportunity for you.
