Why Mozilla? Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. The Mozilla Corporation is wholly owned by the non-profit 501(c) Mozilla Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: As a Senior Data Engineer at Mozilla, you will be a key member of our Data Engineering team. This team manages the entire data lifecycle: ingesting and transforming raw data into reliable, high quality models that empower Mozillians to make data informed decisions. You’ll bridge the gap between our technical systems and our business needs, helping us build a better data platform while making sure the data itself is easy for other teams to use and trust. Recent platform improvements the team has driven include launching a data catalog, introducing data observability, and implementing a medallion architecture to ensure our data is reliable, accurate, and accessible. Check out the Data@Mozilla blog for more details on our work. What you’ll do: - Build the pipes: You’ll build and manage our business data pipelines as well as transform Firefox telemetry data into structured high quality datasets Mozillians can rely on - Make data make sense: You’ll partner with data scientists, product, and marketing teams to turn complex datasets into the models and metrics that drive Mozilla’s decisions - Be a guardian of data quality: You’ll ensure our datasets stay accurate and performant by using our observability tools to monitor quality and joining a weekly triage rotation to resolve data issues as they arise - Evolve our platform: You’ll partner with other data engineers and platform engineers to improve how we work - Maintain data integrity: You’ll ensure our data governance and privacy policies are implemented and enforced across the tens of terabytes of data flowing through our systems daily What you’ll bring: - Experience: At a minimum, 4 years of professional experience in data engineering - Technical skills: Proficiency in SQL and Python, and an eagerness to integrate AI into data engineering workflows to help us scale - Data modeling: Experience mapping complex business processes into extensible, analytical data models. You have a clear vision for long-term architecture but prefer an incremental approach that delivers immediate value while allowing our models to evolve. - Strong software engineering fundamentals: You build modular, reusable code and efficient logic that remains performant when processing data at our scale - Self directed execution: You are comfortable taking a high level goal and turning it into a plan. You have a track record of owning projects from start to finish, managing your own blockers, and keeping your team in the loop. - Collaborative spirit: You possess strong communication skills and the ability to work effectively with a distributed team across different time zones. - Our team requires skills in a variety of domains. You should have proficiency in one or more of the areas listed below, and be interested in learning about the others: - A track record of recommending and implementing new data collection methods to improve data model quality - You have used data to answer specific questions and guide company decisions. - You have experience with cloud distributed systems (we use GCP) including distributed databases, message queues or batch / stream processing - You ensure data is safe to depend on through smart orchestration, error handling, and idempotency - Commitment to our values: - Welcoming differences - Being relationship-minded - Practicing responsible participation - Having grit What you’ll get: - Generous performance-based bonus plans to all eligible employees - we share in our success as one team - Rich medical, dental, and vision coverage - Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute) - Quarterly all-company wellness days where everyone takes a pause together - Country specific holidays plus a day off for your birthday - One-time home office stipend - Annual professional development budget - Quarterly well-being stipend - Considerable paid parental leave - Employee referral bonus program - Other benefits (life/AD&D, disability, EAP, etc. - varies by country) About Mozilla Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online. Commitment to diversity, equity, inclusion, and belonging Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions. We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation. We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose. Group: D #LI-REMOTE Req ID: R3080 Hiring Ranges: US Tier 1 Locations $123,000—$164,000 USD US Tier 2 Locations $112,000—$150,000 USD US Tier 3 Locations $104,000—$138,000 USD

• Build and manage business data pipelines and transform Firefox telemetry data into structured datasets • Partner with data scientists, product, and marketing teams to turn complex datasets into models and metrics • Ensure datasets stay accurate and performant by using observability tools to monitor quality • Collaborate with other data engineers and platform engineers to improve data workflow • Ensure data governance and privacy policies are enforced across vast amounts of data

Lieu : 100 % distance Statut : Freelanc Disponibilité : immédiate / démarrage rapide Collaboration : quotidienne Nous recherchons un(e) créatif(ve) ads ultra réactif(ve), capable de produire rapidement des contenus performants avec un objectif clair : générer des résultats. Ce poste est directement lié à la performance business. Tu ne seras pas là pour “faire du montage”. Tu seras là pour : tester optimiser et faire performer les campagnes Vos missions VOTRE RÔLE : Création & production de contenus ads Monter des vidéos ads courtes, dynamiques et orientées conversion: - Créer des hooks impactants dès les premières secondes - Adapter et décliner rapidement des créas existantes - Produire des variations pour tester différents angles marketing - Créer des visuels statiques performants (Canva ou autre) Optimisation & performance: -Analyser les performances des contenus -Dentifier ce qui fonctionne / ce qui ne fonctionne pas - Proposer des axes d’amélioration - Tester de nouvelles idées en continu Réactivité & exécution : - Produire rapidement des contenus (deadlines courtes) - Être disponible au quotidien - S’adapter aux priorités et aux besoins rapides - Maintenir un rythme d’exécution élevé Vos compétences PROFIL RECHERCHÉ Nous cherchons quelqu’un qui comprend la logique des ads et de la performance. - Excellente maîtrise du montage vidéo (formats courts, ads) - Bonne compréhension des hooks, du rythme et des mécaniques de conversion - Capacité à créer des visuels statiques efficaces (Canva ou équivalent) - Expérience ou forte sensibilité au performance marketing - Capacité à produire rapidement sans perdre en qualité - Ultra réactif(ve) - Rapide dans l’exécution - Autonome et débrouillard(e) - Force de proposition - Orienté(e) résultats - Capable de travailler dans un environnement exigeant et rapide Avantages POURQUOI NOUS REJOINDRE Tu travailles sur des projets à forte croissance dans un environnement entrepreneurial. Ce poste te permettra - De travailler sur des campagnes ads concrètes et performantes - D’avoir un impact direct sur les résultats - Un environnement entrepreneurial dynamique - De monter en compétences sur la performance marketing - De collaborer sur des projets visibles et ambitieux Poste avec possibilité d’évolution selon performance PROCESS DE RECRUTEMENT ⚠️ Pour que votre candidature soit étudiée, merci d’envoyer un mail à brasdroiseva@gmail.com avec TOUS les éléments ci-dessous : 📄 1. Votre portfolio (obligatoire) 💸 2. Votre tarif par vidéo / prestation (obligatoire) 📅 3. Vos disponibilités réelles (obligatoire) 🎯 4. Quelques exemples de créas ads déjà réalisées (fortement recommandé) ❗️Toute candidature incomplète ne sera pas étudiée. Envoie-nous un mail

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description We are looking for an experienced Senior Data Engineer with expertise in AI‑powered tools, workflow automation, and modern data platform engineering. You will develop data software applications, data platforms, and data products. It partners with application engineers, data engineers, data scientists, and CRM teams to develop scalable solutions. The Engineer will contribute both independently and collaboratively. The Engineer's responsibilities will include defining engineering standards, performing data analysis and modeling, writing high‑quality code, conducting testing and code reviews, preparing deployments, ensuring operational readiness, and supporting Agile development practices. Additionally, the Engineer will keep Security first in mind. You will report to the Development and Operations Manager. - Lead the implementation of AI and LLM‑based tooling to automate data engineering workflows (e.g., code generation, data quality monitoring, schema drift detection). - Build automated frameworks for data ingestion, transformation, orchestration, and deployment using AI‑powered accelerators. - Integrate AI/ML capabilities into pipelines, including anomaly detection, metadata enrichment, and pattern recognition. - Develop automated data validation frameworks and implement AI‑assisted data quality checks. - Take technical ownership of all stages and iterations of assigned software components. - Design technology solutions meet all functional and non‑functional our requirements. - Provide ongoing production support by overseeing critical data pipelines, resolving incidents, ensuring system stability, and driving root‑cause analysis for continuous improvement. - Produce clear documentation of designs, architectural decisions, and code artifacts; participate in knowledge sharing. - Provide regular updates and communications to project partners. - Ensure solution adoption through training, documentation, and readiness planning. - Work across multiple projects and departments, supporting engineering tasks and cross‑functional programs. - Apply industry best practices, engineering standards, and governance principles. - Be a important contributor to deliver high‑value, on‑time, on‑budget complex projects. Qualifications - Bachelor's degree in Computer Science or equivalent experience. - 5+ years in commercial software development environments. - 5 + years of hands‑on experience in data engineering or similar roles. - Demonstrated experience using AI/LLM tools for code generation, testing, monitoring, and automation. - Hands‑on experience with: - PySpark, Python, SQL (expert‑level) - Data engineering pipelines, frameworks, and automation - Knowledge of data platform paradigms and modern software architecture. - Cloud experience with AWS, including services such as API Gateway, Lambda, EC2, ECS, SQS, SNS, DynamoDB, Redshift, and Aurora. - Understand detailed technical specifications and adapt quickly to new technologies Experience making any architectural tradeoffs required to provide software solutions. - Experience building scalable, resilient, and observable distributed systems and problem‑solving skills across a range of complexities. - Experience troubleshooting issues with users. - Familiarity with MLOps, ML orchestration, and model deployment workflows. Additional Information This is a permanent remote home-based role in Costa Rica. No relocation available. Our benefits include: Medical, life and dental insurance, Asociacion Solidarista, International Share Save Plan, Flex Work/Work from home, Paid time off, Annual Performance Bonus, Education Reimbursement, Family Bonding, Bereavement Leave, Referral Program, and more. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. #LI-ML2 #LI-Remote This is a remote position. - Employee Status: Regular - Role Type: Hybrid - Department: Product Development - Schedule: Full Time - Shift: Day Shift