Business Intelligence (BI) Analytics Engineer

Business Intelligence (BI) Analytics EngineerAt SunnyData, we are dedicated to guiding our clients on their data journey, equipping them with the tools to enhance their business outcomes. We believe that a robust foundation is essential for achieving exceptional data-driven results through highly scalable architectures, resilient data engineering pipelines, …

Join our innovative technology organization as a Lead Data Engineer, where you will play a pivotal role in designing, developing, and sustaining our data engineering functions in a remote-first environment.Your responsibilities will encompass overseeing the entire lifecycle of data architecture, pipeline creation, modeling, tooling, and ensuring operational reliability. You will actively engage with technical leadership to establish a comprehensive data engineering strategy from the ground up.Key ResponsibilitiesDesign, implement, and maintain scalable data pipelines across core systems.Establish and manage an analytics infrastructure utilizing both open-source and commercial tools.Guarantee data quality and maintain schema integrity for operational reliability.Produce clean, consistent data models and dashboards for multiple teams.Collaborate with various stakeholders to enhance analytics, business intelligence, and decision-making initiatives.

WHO ARE WE?Launch Potato is a thriving digital media enterprise that engages over 30 million visitors monthly through popular brands like FinanceBuzz, All About Cookies, and OnlyInYourState.As a leader in discovery and conversion, our mission is to connect consumers to top brands through innovative, data-driven content and technology.With our headquarters located in South Florida, our remote-first team spans across more than 15 countries, fostering a high-growth culture that prioritizes speed, ownership, and impactful results.WHY JOIN US?At Launch Potato, you will fast-track your career while taking ownership of your outcomes and making a difference alongside a global team of high-achievers.

Are you eager to elevate your career in the dynamic and cutting-edge field of data engineering?At SunnyData, we are dedicated to guiding our clients through their data journey, empowering their businesses with actionable insights. We understand that a robust foundation is essential for achieving exceptional data-driven outcomes: from highly scalable architectures and resilient data engineering pipelines to intuitive data consumption layers and precise machine learning and AI applications. As a Data Engineer, you will be instrumental in this journey. Collaborating with both internal teams and clients, you will design, construct, and deploy data solutions that capture, analyze, transform, and leverage data to enhance Artificial Intelligence, Machine Learning, and Business Intelligence initiatives.Your ImpactContribute to a team that supports both new and existing clients with their data engineering requirements.Advise clients on optimal technical strategies to achieve their objectives.Manage multiple customer accounts, tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data cleansing and quality strategies.Evaluate data sources to ascertain their value and recommend inclusion in analytical workflows.Apply core data management principles, including data governance, security, and quality.Collaborate with teams to deliver solutions and educate end users on data products and analytic environments.Conduct data and system analysis, addressing defects and incidents of moderate complexity and implementing corrections as necessary.Test data movement, transformation code, and data components.QualificationsSelf-motivated individual with a commitment to continuous learning and excellent time management skills.Strong verbal and written communication skills in English.Availability for either part-time (6 hours) or full-time (8 hours) work.Familiarity with public cloud services such as AWS, Azure, or GCP.Preferred: Experience with one or more data engineering technologies (e.g., Spark, Hadoop, Kafka).

Join Blend360 as a Data Quality Engineer, where you will play a critical role in ensuring the integrity and reliability of our data systems. You will collaborate with teams to develop and implement data quality standards, perform data analysis, and recommend improvements to enhance data processes.

Role Overview blend360 is hiring a Senior Data Engineer in Montevideo. This position focuses on building and maintaining data solutions that support business insights and decision-making. The Senior Data Engineer will work closely with teams across the company to ensure data infrastructure supports blend360’s strategic objectives. What You Will Do Design and implement data architectures that meet business needs Maintain and optimize data systems for reliability and performance Collaborate with colleagues from different departments to align data infrastructure with company goals Support the use of data assets to drive analytics and decision-making What We Look For Strong experience in data engineering and architecture Ability to create and maintain scalable data solutions Comfort working with cross-functional teams Interest in supporting business growth through effective data use Location This role is based in Montevideo.

At SunnyData, we are dedicated to guiding our clients through their data journey to empower their business operations. We understand that a robust data infrastructure is essential for achieving exceptional data-driven outcomes, including scalable architectures, resilient data engineering pipelines, straightforward data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. As a Senior Data Engineer, you will be integral to this journey, collaborating closely with internal teams and clients to design, construct, and implement data solutions that capture, explore, transform, and leverage data to facilitate insights in AI, ML, and business intelligence.Your ImpactJoin a dedicated team committed to addressing the data engineering needs of both new and existing clients.Advise clients on optimal technical choices to meet their objectives.Manage multiple customer accounts, ensuring consistent tracking and reporting on their progress.Design, develop, and operationalize intricate data solutions, troubleshoot issues, implement transformations, and suggest data quality and cleansing strategies.Evaluate data sources to assess their utility and recommend integration into analytical processes.Incorporate essential data management principles, including governance, security, and quality.Collaborate within and across teams to facilitate delivery and educate end-users on data products and analytic environments.Conduct data and system analyses, identifying and resolving defects and incidents of moderate complexity.Test data movement, transformation code, and data components.QualificationsA minimum of 5 years of experience in data engineering and data product development.Proficiency in one or more of the following technologies:Data Engineering technologies (e.g., Spark, Hadoop, Kafka)Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)Strong understanding of the complete data analytics workflow.Proven track record of domain expertise, including the ability to comprehend technical challenges and deliver effective solutions.

WHO WE ARE:Launch Potato is a thriving digital media company that engages over 30 million monthly visitors through our diverse brands, including FinanceBuzz, All About Cookies, and OnlyInYourState.As the Discovery and Conversion Company, we aim to connect consumers with the world’s leading brands through innovative, data-driven content and technology.Headquartered in South Florida, our remote-first team spans over 15 countries, fostering a high-growth culture where speed, accountability, and measurable impact propel our success.WHY JOIN US?At Launch Potato, you will fast-track your career by taking ownership of outcomes, working swiftly, and making an impact alongside a global team of high achievers.

Speechify is looking for a Software Engineer focused on Data Infrastructure and Acquisition in Montevideo, Uruguay. This role collaborates with team members across different groups to develop and enhance the systems that gather and manage data for Speechify’s products. Role overview The main responsibility is to support dependable data pipelines and improve data collection processes. The goal is to ensure applications have consistent access to accurate, high-quality information. This position plays a key part in strengthening how Speechify handles and utilizes data. Collaboration Working with colleagues from several teams, this engineer helps maintain and refine the core data infrastructure. The work involves both building new systems and improving existing ones to meet the needs of Speechify’s products.

Join our dynamic team at Toloka AI as a Freelance Data Scraping Engineer. In this remote role, you will leverage your expertise in Python to extract and manipulate data from various online sources. Your skills will be crucial in enhancing our data-driven solutions and ensuring the accuracy and relevance of the information we provide to our clients.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift is a dynamic platform that connects specialists with exciting project-based AI opportunities from top technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-based rather than permanent employment.Opportunity Overview:While each project presents unique challenges, contributors will typically be tasked with:Designing innovative computational physics problems that emulate authentic research workflows;Formulating problems that necessitate Python programming for resolution (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring tasks are computationally demanding, requiring extended timeframes (days/weeks) for resolution;Creating problems that involve complex reasoning chains in areas including mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real-world research challenges or practical applications from the field of physics;Validating solutions through Python with standard physics simulation libraries;Documenting problem statements comprehensively and providing confirmed correct answers.Ideal Candidate Profile:This role is well-suited for optical engineers experienced in Python, looking for part-time, non-permanent projects. The ideal contributors will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a closely related field;Proficiency in Python for numerical validation. Experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any domain-specific programming language is acceptable;A minimum of 2 years of professional experience in applied physics, research, or teaching;Experience with numerical simulation techniques;The capability to design problems that reflect actual physics research workflows;Creative problem-solving skills across various physics domains;Familiarity with physics modeling and approximation methodologies;Strong written English skills (C1+ level).Application Process:Apply → Pass qualifications → Join a project → Complete tasks → Receive payment.Project Time Commitment:During active phases of the project, tasks are estimated to require approximately 10–20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $17 per hour, depending on their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required skills.

blend360 is seeking a Data Science Manager in Montevideo to guide a team of data scientists and shape analytical solutions that support business goals. This position centers on turning complex data into clear, actionable insights that help drive strategic decisions. Role overview The Data Science Manager oversees data science projects from start to finish, ensuring quality and alignment with company objectives. Collaboration with cross-functional teams is a key part of the role, as is translating technical findings into business-focused recommendations. Leadership and collaboration Lead and mentor a team of data scientists, supporting their growth and development Work with stakeholders across departments to understand needs and deliver results that make an impact What you will do Supervise the execution of data science projects Ensure analytical solutions align with business strategies Help translate complex data into insights that inform decision-making

Blend360 is seeking an AI Engineering Lead in Montevideo to guide complex AI projects and manage a team of engineers. This position centers on leading technical efforts that advance the company’s AI capabilities. Role overview As the AI Engineering Lead, the focus is on overseeing the development and implementation of AI solutions. The role involves coordinating a group of engineers, setting technical direction, and ensuring project goals align with broader business objectives. What you will do Lead AI engineering projects from planning through execution Direct and mentor a team of engineers working on AI initiatives Drive progress on new and existing AI technologies within the organization Requirements Experience managing or leading engineering teams in AI or related fields Strong technical background in artificial intelligence Ability to guide projects focused on advancing AI solutions

Join Our Team as a Sports Data Collector (Football)Independent Contractor | Paid per Game*Please note: All CVs must be submitted in English.Are you passionate about sports? Transform your enthusiasm into a rewarding opportunity with paid experience.Genius Sports is a leading global sports technology firm, delivering official live data for some of the world’s most prestigious leagues, federations, and media platforms.We are currently seeking a dedicated Sports Data Collector (Sports Scout) to attend live sporting events and gather real-time, play-by-play statistics using our proprietary software.ResponsibilitiesAttend local live sports events, including the Copa Nacional de Seleciones and other minor competitions.Accurately record real-time game data such as scores, plays, and key events.Utilize mobile technology in a dynamic, live environment.QualificationsStrong understanding of the sport.Reliable, detail-oriented, and well-organized.Available during evenings and weekends.Must be 18 years or older.

Role Overview Blend360 is hiring a Senior Cloud & DevOps Engineer in Montevideo. This role focuses on designing and implementing cloud solutions to improve operational efficiency. The engineer will work closely with cross-functional teams to refine processes and maintain a reliable, scalable cloud infrastructure. What You Will Do Design and build cloud solutions to support business needs Collaborate with teams across the company to streamline workflows Ensure the reliability and scalability of cloud infrastructure Contribute to projects that drive technical innovation at Blend360

Join Blend360 as a Software Engineering Manager and lead our dynamic team in Montevideo! You will play a crucial role in guiding the development of high-quality software solutions, ensuring timely project deliveries while fostering a culture of innovation and collaboration.

At SunnyData, we are dedicated to empowering our clients by constructing highly scalable architectures, developing robust data engineering pipelines, and creating user-friendly data consumption layers. Most importantly, we focus on building advanced Machine Learning (ML) and Artificial Intelligence (AI) applications that drive exceptional business outcomes. As a Senior Machine Learning Engineer, you will spearhead intricate data projects, design predictive models, and implement scalable machine learning solutions. You will collaborate across various teams including engineering, product, and analytics to generate actionable insights and impact critical business decisions.Your ContributionLead the architecture, development, and deployment of machine learning models.Work with extensive and intricate datasets to extract valuable insights and establish predictive analytics pipelines.Partner with data engineers to design and enhance cloud-based data solutions.Convert business challenges into data-driven strategies utilizing statistical modeling and machine learning methodologies.Streamline data workflows and model deployment processes using cloud services and CI/CD methodologies.Guide junior data scientists and contribute to the establishment of best practices in model development and implementation.Effectively communicate insights and strategic recommendations to stakeholders and executive leadership.Desired QualificationsA minimum of 5 years of experience in data science or machine learning positions.Strong proficiency in Python (including libraries such as pandas, scikit-learn, PyTorch, or TensorFlow) and SQL.A solid foundation in statistics, A/B testing, and machine learning algorithms.Proven experience in building and deploying models in production settings.Familiar with MLOps tools and practices (e.g., MLflow, SageMaker Pipelines, Airflow).Exceptional communication and leadership capabilities.Preferred QualificationsExperience with big data technologies (e.g., Spark, EMR).Familiarity with containerization technologies (e.g., Docker, ECS, EKS) and serverless architectures.EducationBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field is preferred.

About HuzzleHuzzle is dedicated to bridging the gap between exceptional talent and leading global companies across multiple regions, including the UK, US, Canada, Europe, and Australia. We cater to a diverse clientele, from innovative startups to established digital agencies and tech platforms within sectors such as SaaS, MarTech, FinTech, and EdTech. Our unique approach ensures that top professionals are seamlessly integrated into client teams for full-time remote roles, receiving continuous support from Huzzle.Role OverviewWe are on the lookout for a dynamic and self-driven AI Automation Engineer to spearhead the design, development, and implementation of bespoke AI-driven automation systems.In close collaboration with our CTO, you will be at the forefront of AI innovations, utilizing Claude Code, n8n, and various automation frameworks to deliver solutions that enhance operational efficiency and address practical challenges faced by our clients.This position involves direct client interaction, making strong communication skills and the ability to propose enhancements or alternative solutions vital. The ideal candidate is passionate about problem-solving, enjoys creating systems from the ground up, and is adept at discovering more efficient methods to automate intricate workflows.Key ResponsibilitiesDesign and develop AI-driven automation systems leveraging Claude Code, n8n, and associated platforms.Create tailored workflows that embed AI functionalities into business processes.Work closely with the CTO to prototype and roll out new automation solutions.Establish and oversee scalable AI workflows and automation pipelines.Troubleshoot, debug, and enhance existing automation solutions.Engage with clients to gather requirements and propose the most suitable AI solutions.Identify opportunities to streamline or enhance system architectures proactively.Share insights, suggestions, and technical expertise to improve project outcomes.Document development processes to ensure long-term system scalability.QualificationsDemonstrated expertise in constructing automation workflows using n8n.Practical experience with Claude Code or comparable AI coding platforms.A strong problem-solving aptitude coupled with a proactive outlook.Capability to articulate technical concepts clearly in client-facing interactions.Adept at navigating a fast-paced startup atmosphere where processes are in flux.Experience in designing automation systems that boost operational productivity.A strong sense of initiative and a readiness to advocate for improved technical solutions.Preferred SkillsProgramming knowledge (Python, JavaScript, or similar).Experience with Make.com or other automation tools.

Role Overview Double is hiring a Product Quality Engineer in Montevideo, Uruguay. This role focuses on upholding and improving the quality of our products through hands-on involvement in quality assurance activities. What You Will Do Implement and maintain quality assurance processes for product lines Conduct product inspections to verify compliance with quality standards Work closely with teams across functions to support ongoing improvement efforts Location This position is based in Montevideo, Uruguay.

Join our dynamic team as a Python Software Engineer on a 6-month remote contract with Slasify, supporting a high-impact project for a leading US-based NASDAQ-listed company. This role focuses on crucial system integration and infrastructure alignment.As a contractor, you will enjoy the flexibility to choose your work environment. Slasify offers professional Contractor of Record services, ensuring that your contract management and international payments are handled with precision and reliability.Role OverviewContract Duration: 6 months (potential for extension based on project needs)Location: Fully RemoteEngagement Type: Independent ContractorService Provider: Slasify (providing secure and timely remuneration)Key ResponsibilitiesSupport the engineering team in executing intricate system integrations with high accuracy.Design, implement, and maintain robust Python-based applications.Ensure optimal connectivity and data integrity across various platforms.Collaborate with cross-functional teams to achieve project deadlines efficiently.QualificationsProfessional Experience: Minimum of 3 years of backend development experience in Python.System Integration: Demonstrated experience in integration projects or middleware solutions.Communication Skills: Proficient in English; candidates with strong technical skills but developing language confidence are encouraged to apply.Soft Skills:Detail-Oriented: Committed to meticulous coding and testing for system stability.Analytical Thinker: Ability to troubleshoot complex data flow and logical issues independently.Self-Motivated: Highly organized and able to manage tasks in a fully remote environment.Bonus QualificationsEducational Background: Degree in Computer Science, Information Technology, or a related field.Timezone Availability: Willingness to participate in meetings during US Eastern Time (EST).Familiarity with Tools: Experience with collaboration tools like Slack, Jira, and Git in an asynchronous work culture.Corporate Experience: Background in large-scale enterprise environments or publicly traded technology firms.Why Join Us?Prestigious Client: Work with a well-respected NASDAQ-listed company, enhancing your professional portfolio.