About AlayaCare 

At AlayaCare, we’re more than just a fast-growing SaaS company, we’re a team of people passionate about transforming home healthcare. Our cloud-based platform empowers care providers around the world to deliver better outcomes for their clients.   

With 550+ employees across Canada, the US, Australia, and Brazil, we’re united by a shared mission and a strong culture of transparency, growth, and human connection. Whether you're early in your career or a seasoned expert, AlayaCare offers the opportunity to grow your impact, your skills, and your career.

About the Role

We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines and infrastructure to power our data products.

As a senior member of the team, you’ll collaborate closely with data scientists, software engineers, and product managers to enhance the reliability and performance of our data systems, while influencing the enterprise-wide data architecture. You will also mentor junior engineers and drive best practices in data engineering.

What You’ll Do

• Design, develop, and maintain scalable, cost-effective, and reliable data pipelines for structured and unstructured data.
• Translate business needs into technical requirements and ensure alignment with product and customer success teams.
• Architect and implement data storage solutions (data lakes, warehouses, real-time processing systems) and supporting cloud infrastructure.
• Optimize pipelines for performance, scalability, cost-efficiency, and automation.
• Ensure data quality, integrity, and security across all systems.
• Evaluate and adopt new tools, technologies, and processes.
• Partner with DevOps and engineering teams for seamless deployment, monitoring, and troubleshooting.
• Document workflows and processes for knowledge sharing and maintainability.
• Stay current on industry trends in data engineering, ML, and cloud computing.
• Provide mentorship and technical leadership to junior engineers.

What You Bring to the Team

• 5+ years of hands-on experience with data software development.
• Experience with AlayaCare’s stack (Python, PHP, Vue.JS, AWS).
• Bachelor’s or advanced degree in computer science, mathematics, or related fields.
• Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS).
• Experience with streaming technologies such as Kafka, Kinesis, and Flink.
• Familiarity with Docker and Kubernetes.
• Expertise in dimensional data modeling and semantic layer design.
• Strong collaboration, communication, and problem-solving skills.
• Experience in Agile development methodologies.
• Mindset encouraging transparency, accountability, and trust.
• Experience in healthcare, home health, or medical devices is an asset.
• Familiarity with data governance concepts & tools is an asset.
• Bilingual in French and English is an asset.

Why Join AlayaCare?  

Work With Purpose  

At AlayaCare, you’ll help build technology that empowers care providers and improves outcomes for patients and families. Every line of code and every customer interaction contributes to making care more connected, accessible, and human.  

Grow in a High-Trust Culture  

We believe in transparency, feedback, and assuming positive intent. Here, you’ll feel safe to share your ideas and career goals, and be supported to achieve them through mentorship, career mobility, and a promote-from-within philosophy.  

Balance That Works for You  

We value flexibility and well-being. From “Wellness Fridays” to volunteer time off, to flexible vacation, we make sure you have the space to recharge, contribute to your community, and live your best life.  

Benefits That Matter  

• Equity in a well-funded, scaling company.  
• Comprehensive health benefits, telemedicine, and lifestyle spending accounts.  
• Parental leave top-up and family support programs.  

Inclusive by Design  

We celebrate diverse perspectives and foster belonging through our DEIB initiatives. Employee-led events, summits, and social activities, both in-person and virtual, create meaningful connections across our global teams.  

Location and Work Model

This role is based in Montreal. At AlayaCare, our hybrid model includes 2 set in-office collaboration days/week, and it is expected that team members are present in the office on those days to foster connection, innovation, and teamwork.  

Ready to Join Us?  

Apply today and be part of a company that makes a real difference in the future of home and community care. Not the right role for you? Share this posting with someone who might be a great fit.  

AlayaCare uses AI tools during our hiring process to support fair, consistent, and objective decision-making. Some initial screening steps may be automated to help identify qualified candidates. If your application is declined automatically, you may request a human review.  

We’re committed to creating a workplace where everyone belongs. If you require accommodation during the application process, please reach out to talentacquisitionteam@alayacare.com. 

Cherchez-vous à vous épanouir dans un environnement de travail stimulant?

Joignez-vous à Levio, un leader de la transformation numérique, et propulsez votre carrière vers de nouveaux sommets. Vous travaillerez aux côtés de professionnels de haut calibre sur des projets technologiques ambitieux et de grande envergure, directement intégrés dans les environnements de nos clients. Chez Levio, nous valorisons l’expertise, la curiosité et l’amélioration continue — et nous vous offrons l’espace nécessaire pour évoluer.

À propos du rôle 

Nous sommes à la recherche de plusieurs Analystes fonctionnels spécialisés en intelligence d’affaires et en analytique avancée (BI et plateformes de données) pour contribuer à différents projets d’envergure.

Pourquoi rejoindre Levio? 

• Travailler sur des projets de transformation numérique complexes et à fort impact
• Collaborer avec des équipes multidisciplinaires expérimentées
• Développer continuellement votre expertise technique et professionnelle
• Profiter de flexibilité, d’autonomie et d’une culture axée sur l’humain
• Faire partie d’une organisation qui valorise la diversité, l’inclusion et l’innovation

Rôle et responsabilités 

• Collaborer avec les architectes de solution, analystes d’affaires, responsables de produit et responsables des essais.
• Élaborer et documenter les spécifications applicatives et systèmes.
• Contribuer à la définition des portées (récits, releases, sprints, essais, projets).
• Réaliser l’intégration des composants de solution et analyser les impacts sur les systèmes existants.
• Participer à la stratégie d’essais détaillée, à la couverture des requis, à l’exécution et à la validation des résultats.
• Assurer la qualité des migrations dans l’environnement d’acceptation.
• Transférer la connaissance aux équipes de soutien et d’entretien applicatif.
• Analyser et résoudre des anomalies complexes.
• Maintenir la documentation fonctionnelle et d’essais. 

Connaissances spécifiques

• Expérience en projets BI, data warehouse, data lake ou MDM
• Maîtrise des concepts analytiques, infonuagique et infrastructure (Azure DevOps, Azure Data Lake, Azure Functions, Spark)
• Maîtrise des outils ETL et pipelines de données (Azure Data Factory, Databricks, Synapse)
• Solides connaissances en SQL (MS SQL Server)

Environnement technologique associé
Azure DevOps, Azure Data Lake, Azure Functions, Power BI, Databricks, Delta Lake, Spark, Azure Data Factory, Synapse, MS SQL Server, Splunk, Log Analytics, Dynatrace

Qualifications et expérience

Qualifications requises

• Baccalauréat en TI, génie, Intelligence d’affaire, science des données ou équivalent
• 3 à 7 ans d’expérience en analyse fonctionnelle, analytique avancée, BI ou IA
• Expérience en plateforme infonuagique (Azure, de préférence)
• Connaissances des outils de surveillance (Splunk, Log Analytics, Dynatrace)
• Connaissances des modèles d’accès (RBAC, ABAC)
• Connaissance des méthodes et outils Agiles

Atouts

• Certifications ISTQB et Azure 
• Expérience en projets de gouvernance ou libre-service 
• Exposition à des solutions ODS, temps réel ou near real-time 

Avantages sociaux 

Levio offre un programme d’avantages sociaux complet et flexible conçu pour soutenir votre développement professionnel et votre bien-être personnel, incluant :  

• 4 semaines de vacances cumulatives dès le premier jour  
• Horaire de travail flexible  
• Allocation de développement professionnel (PDA) pour la formation, l’équipement informatique et les activités physiques  
• Formations adaptées à vos domaines d’expertise  
• Régime enregistré d’épargne-retraite (REER) avec contribution de l’employeur jusqu’à 3 % du salaire brut  
• Régime d’assurance collective modulable  
• Remboursement du transport en commun ou du stationnement lorsque requis  
• Primes de référencement  
• 11 jours fériés  
• Journées personnelles  
• Vie sociale active (5 à 7, club social, collations santé, café, et plus encore)

Détails du poste 

• Type d’emploi : Temps plein, permanent

Équité en emploi
Levio souscrit au principe d'équité en emploi et applique un programme d'accès à l'égalité en emploi pour les femmes, les autochtones, les minorités visibles, les minorités ethniques et les personnes en situation d’handicap. 

Levio valorise la diversité et de l’inclusion et vise à créer un milieu de travail sain, accessible et gratifiant qui met en valeur la contribution unique de nos employés au succès de notre entreprise. En tant qu'employeur qui s'engage à respecter l'équité en matière d'emploi, nous encourageons les candidatures les plus diverses. Des accommodements sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. 

Le genre masculin est utilisé sans aucune discrimination et dans le seul but d’alléger le présent texte.  

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols. 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). 

*A select number of positions require full-time in office attendance* 

Our Data Warehouse Team is looking for a Lead SQL Developer to contribute to the evolution of our enterprise data platform within the Data Warehouse Services team. This role combines technical leadership and hands-on engineering. The Lead will guide a team of data engineers responsible for designing, building, and operating modern data pipelines and analytical platforms across Azure.

What you'll be doing: 

• Provide technical leadership and architectural guidance to data engineers and SQL developers, leading design discussions and architecture reviews.
• Establish engineering standards and best practices for data pipelines, lakehouse platforms, and SQL development, including code and design reviews.
• Mentor team members and support their technical growth.
• Design and evolve a modern Azure data platform using Azure Synapse Analytics, Synapse Spark, Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL Database, and Microsoft Fabric.
• Define scalable architecture patterns for lakehouse platforms, Delta Lake tables, data ingestion pipelines, and data quality frameworks.
• Optimize and troubleshoot Spark workloads, Synapse queries, and Azure SQL performance.
• Improve platform reliability, observability, monitoring, and Azure workload cost efficiency.
• Support operational processes including investigating alerts, resolving data pipeline failures, and improving operational runbooks.

What you'll need to be successful:  

Must Haves: 

• 6+ years of experience in data development.
• 2+ years experience leading or mentoring technical teams.
• 2+ years of hands-on Azure Cloud experience, including proficiency in Synapse Analytics, Azure SQL Database, Data Lake Storage Gen2, and Delta Lake.
• Hands-on experience with PySpark, Delta Lake/lakehouse architectures, and large-scale data ingestion pipelines.
• Strong T-SQL knowledge and relational database design.
• Experience designing and implementing ETL/ELT pipelines.
• Strong troubleshooting skills in data pipeline and database performance issues.
• Experience working with hybrid environments (Azure, on-prem SQL Server).
• Strong communication and leadership skills.

Nice to Haves: 

• Experience with Microsoft Fabric
• Experience implementing CI/CD pipelines (Azure DevOps / Git)
• Experience with cost optimization of cloud data platforms
• Familiarity with Azure networking and integration runtimes
• Experience designing data quality and observability frameworks

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees 

In this role you may be exposed to adult content 

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

We are seeking a Senior Data Scientist to independently own and drive analytics initiatives for Family Experience (FamXP), Investigation analytics and Trust and Safety, with a focus on impacting team and product outcomes. You'll apply your expertise to transform ambiguous business questions into actionable insights while handling highly sensitive data with care and discretion. This role requires leading cross-functional projects, building strong stakeholder relationships across multiple teams, and maintaining the highest standards of data privacy and security. The role is expected to build foundational re-usable data models as well as end reporting and ad hoc analysis to support teams from FamXP, a product team, to Legal.

In this role, you will

• Own and deliver end-to-end analytics projects for Family Experience and Trust & Safety that drive team outcomes and measurably influence product/org outcomes, from problem framing through impact measurement; can range from telemetry implementation to reporting to automation (from Workato to ML)
• Solve ambiguous Family Experience and Trust & Safety problems by designing analyses, evaluating options/tradeoffs, and making independent decisions that keep work moving in a dynamic environment
• Execute team and product/org strategy through analytics planning: translate strategy into metrics, roadmaps/backlogs, and clear success criteria; contribute to setting team goals
• Build and maintain production-quality metrics, dashboards, and data models that monitor safety, parental controls, and age-appropriate experiences across Epic’s ecosystem
• Drive alignment around approach and outcomes with Trust & Safety, Product, Programming, Legal, and Policy partners across the team and organization, managing expectations and trade-offs
• Handle sensitive data related to minors and safety incidents with discretion, applying privacy/security best practices and Epic data governance requirements
• Mentor others on the team and within the product/org: share best practices, review work, and raise the bar for how analytics is done

What we're looking for

• 6-10 years of demonstrated ability to own and deliver analytics projects that execute team outcomes and influence product/org outcomes
• Strong SQL skills (Python, PySpark a plus) and experience working with large-scale datasets; comfort in modern data environments (e.g., Snowflake/Databricks/Spark); familiarity with version control and workflow orchestration tools (Airflow or similar) is a plus
• Proven ability to solve ambiguous problems and make independent decisions on team projects with minimal/no oversight
• Experience turning messy data into production-quality metrics, dashboards, and data models that support operational monitoring and decision-making
• Strong judgment handling sensitive or regulated data; working knowledge of privacy/security practices and relevant compliance concepts
• Ability to execute team + product/org strategy via planning and prioritization; can translate goals into measurable outcomes and help set team goals
• Track record of driving alignment and collaboration across immediate/adjacent teams and the broader product/org
• Clear communicator who can align stakeholders through concise updates and documentation that drive decisions and action
• Evidence of mentoring others on the team/product org (coaching, reviews, raising standards)
• Domain strength in Trust & Safety and/or family experiences online (e.g., moderation, account safety, community health, fraud, or safety feature measurement)

EPIC JOB + EPIC BENEFITS = EPIC LIFE

We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.

ANALYSE

Ce que nous faisons

Nos équipes responsables des données et de l’analyse créent des histoires et des éléments visuels puissants qui orientent la création de jeux, le développement de technologies et les décisions commerciales au cœur de la croissance d’Epic.

Ce que vous ferez

Nous sommes à la recherche d’un scientifique de données sénior pour prendre en charge de façon autonome et piloter des initiatives analytiques liées à l’expérience familiale (FamXP), des analyses d'investigation ainsi qu’à la sécurité des plateformes, avec un impact direct sur les équipes et les produits. Vous mettrez à profit votre expertise pour transformer des questions d’affaires ambiguës en informations exploitables, tout en traitant des données hautement sensibles avec rigueur et discrétion. Ce rôle requiert la capacité de diriger des projets interfonctionnels, d’établir des relations solides avec les parties prenantes de plusieurs équipes et de maintenir les plus hauts standards en matière de protection des données et de sécurité. Le poste implique la création de modèles de données fondamentaux et réutilisables, ainsi que de rapports finaux et d’analyses ponctuelles afin de soutenir les équipes FamXP, les équipes produit et les équipes juridiques.

Ce dont vous serez responsable

• Prendre en charge et livrer des projets analytiques de bout en bout pour l’expérience familiale et la sécurité des plateformes, de la définition des problématiques jusqu’à la mesure des impacts, incluant la mise en place de télémétrie, la production de rapports et l’automatisation
• Résoudre des problématiques ambiguës liées à l’expérience familiale et à la sécurité des plateformes en concevant des analyses, en évaluant différentes options et compromis, et en prenant des décisions autonomes dans un environnement dynamique
• Mettre en œuvre les stratégies des équipes et des produits par la planification analytique, en traduisant la stratégie en indicateurs, en feuilles de route et en critères de succès clairs, et en contribuant à la définition des objectifs d’équipe
• Concevoir et maintenir des indicateurs, des tableaux de bord et des modèles de données de qualité production afin de surveiller la sécurité, les contrôles parentaux et les expériences adaptées à l’âge à travers l’écosystème Epic
• Favoriser l’alignement sur les approches et les résultats avec les équipes Sécurité des plateformes, Produit, Programmation, Juridique et Politiques, en gérant les attentes et les compromis
• Traiter avec discrétion les données sensibles liées aux mineurs et aux incidents de sécurité, en appliquant les meilleures pratiques en matière de protection des données, de sécurité et de gouvernance des données chez Epic
• Encadrer d’autres membres de l’équipe et de l’organisation produit en partageant les meilleures pratiques, en révisant le travail et en élevant les standards analytiques

Ce que nous recherchons

• De 6 à 10 ans d’expérience démontrée dans la prise en charge et la livraison de projets analytiques ayant un impact mesurable sur les équipes et les produits ou l’organisation
• Excellente maîtrise de SQL, avec des connaissances en Python et PySpark considérées comme un atout, ainsi qu’une expérience de travail avec des ensembles de données à grande échelle et des environnements de données modernes comme Snowflake, Databricks ou Spark, et une familiarité avec les outils de contrôle de versions et d’orchestration des processus de travail
• Capacité démontrée à résoudre des problématiques ambiguës et à prendre des décisions de manière autonome avec peu ou pas de supervision
• Expérience dans la transformation de données complexes ou désorganisées en indicateurs, tableaux de bord et modèles de données de qualité production soutenant la prise de décision et le suivi opérationnel
• Jugement solide dans la gestion de données sensibles ou réglementées, avec une connaissance pratique des pratiques de protection des données, de sécurité et des notions de conformité
• Capacité à exécuter la stratégie des équipes et des produits par la planification et la priorisation, en traduisant les objectifs en résultats mesurables et en contribuant à la définition des objectifs d’équipe
• Historique démontré de collaboration et d’alignement avec les équipes immédiates, adjacentes et l’organisation produit au sens large
• Excellentes aptitudes en communication, avec la capacité d’aligner les parties prenantes grâce à des communications claires, concises et orientées vers la prise de décision
• Expérience démontrée en mentorat au sein des équipes produit ou analytiques, incluant l’accompagnement, la révision de travaux et l’amélioration des standards
• Solide expertise dans les domaines de la sécurité des plateformes et ou des expériences familiales en ligne, telles que la modération, la sécurité des comptes, la santé des communautés, la prévention de la fraude ou la mesure de fonctionnalités de sécurité

Avantages

Nous payons l’entièreté des primes (100 %) associées aux avantages sociaux, tant pour les employés que pour les personnes à charge, et proposons une couverture supplémentaire pour les soins médicaux, dentaires et de la vue, les maladies graves, la télémédecine, l’assurance-vie, l’assurance en cas de décès ou de mutilation par accident et l’assurance invalidité de longue durée. Nous offrons également une indemnité hebdomadaire (invalidité de courte durée) et un régime d’épargne-retraite avec cotisation concurrentielle de la part de l’employeur. En plus du programme d’aide aux employés, nous proposons un programme étoffé de bien-être mental par l’entremise de Modern Health, un organisme qui fournit gratuitement des services de thérapie et d’encadrement aux employés et aux personnes à charge.

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ client base around the globe.

We have over 2000 employees across 34 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

We are looking for a Senior Data Engineer to join our dynamic team. This role is ideal for someone with a deep understanding of data engineering and a proven track record of leading data projects in a fast-paced environment. 

• Key Responsibilities

  • Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
  • Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
  • Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
  • Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
  • Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
  • Develop and enforce best practices in data governance, security, and compliance within the organization.
  • Optimize data retrieval and develop dashboards and reports for business teams.
  • Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

   

  Qualifications

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
  • Extensive experience with cloud services such as Azure Data Factory and AWS Glue.
  • Demonstrated experience with Databricks and Snowflake.
  • Solid understanding of CI/CD principles and DevOps practices.
  • Proven leadership skills and experience managing data engineering teams.
  • Strong project management skills and the ability to lead multiple projects simultaneously.
  • Excellent problem-solving skills and the ability to work under tight deadlines.
  • Strong communication and interpersonal skills.
  • Excellent understanding of data architecture including data mesh, data lake and data warehouse.

  Preferred Qualifications:

  • Certifications in Azure, AWS, or similar technologies.
  • Certifications in Databricks, Snowflake or similar technologies
  • Experience in the leading large scale data engineering projects

We are united by our values and strengthened by our hybrid expertise.

• There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
• Client trust is won on the field: Addressing client needs flows better hands on at their side.
• If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
• If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
• We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

Build the backbone of scalable data platforms at Coveo

As a Senior Software Developer within the Data Platform’s Infrastructure team, you will lead efforts to improve the reliability, cost efficiency and platform enablement of both Snowflake and Databricks. You will own the operating model for these platforms, the infrastructure as code that deploys them, and the performance and operational practices that keep them healthy.

You will join a team that treats infrastructure as a product and that focuses on reliability, performance and ownership. Your technical leadership will shape how our data platforms evolve and scale across the company.

As our Senior Software Developer, Data Platform Infrastructure, you will:

• Build and maintain infrastructure as code for the Data Platform, including Terraform modules, CI CD pipelines and change management
• Own Snowflake and Databricks platform operations, governance and lifecycle, including workspace and account design
• Define cost management and collaborate with FinOps on forecasting and optimization of both platforms
• Implement observability and operational readiness with monitoring, alerts, dashboards, runbooks and on-call practices
• Coordinate with product teams and vendors to monitor roadmaps and feature sets for Snowflake and Databrick while aligning platform capabilities with product needs

Here is what will qualify you for the role:

• Strong experience managing a Databricks infrastructure at scale
• Proven track record delivering reliability and observability for high-scale SaaS, including SLOs, alerts, and incident response
• Advanced Python and SQL skills

What will make you stand out:

• Snowflake experience, including warehouse tuning, governance, and terraform/ddl provisioning
• Experience designing and operating a hybrid data platform that integrates Databricks and Snowflake
• Strong Spark skills for tuning, partitioning knowledge, and improving performance of large jobs
• Knowledge of security and governance best practices on both platforms
• Delta Lake and lakehouse expertise: experience with table formats, CDC, compaction, and storage layout optimizations that improve performance and enable efficient interoperability between Databricks and Snowflake

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

#li-hybrid

ANALYSE

Ce que nous faisons

Nos équipes responsables des données et de l’analyse créent des histoires et des éléments visuels puissants qui orientent la création de jeux, le développement de technologies et les décisions commerciales au cœur de la croissance d’Epic.

Ce que vous ferez

Epic Games est à la recherche d’un chef d’équipe, science des données proactif pour se joindre à l’équipe d’analyse de la jouabilité. À ce titre, vous dirigerez un groupe de scientifiques et de programmeurs pour assurer le cycle de vie complet des actifs analytiques, des rapports et des indicateurs. Votre objectif sera d'orienter les décisions stratégiques pour l’ensemble des produits et écosystèmes d’Epic, avec un accent particulier sur nos jeux de tir (Battle Royale, Reload, OG et Blitz). Le candidat retenu saura exploiter diverses technologies, méthodes statistiques et outils de visualisation pour influencer les équipes de développement, tout en encadrant ses collaborateurs et en collaborant avec des partenaires de tous les secteurs de l’entreprise.

Ce dont vous serez responsable

• Collaborer avec les équipes de conception, de développement et de gestion de produit pour cerner les occasions de croissance pour nos titres et l’entreprise, tout en définissant les mesures de performance qui orientent la stratégie
• Travailler directement avec les responsables de la programmation et des plateformes pour préciser et recueillir les informations nécessaires à la création de modèles analytiques
• Transformer les flux bruts en structures exploitables, en indicateurs de production et en rapports détaillés
• Évaluer continuellement la pertinence des mesures de succès pour les harmoniser avec la croissance à long terme de l’écosystème
• Faire équipe avec les concepteurs et les spécialistes produit pour élaborer des tests de validation rapides et approfondis afin d’optimiser la qualité du jeu
• Encadrer une petite équipe d’analystes, assurer leur mentorat et définir l’orientation de nos méthodes de recherche

Ce que nous recherchons

• Au moins 5 ans d’expérience pertinente dans l’industrie et une connaissance approfondie des jeux vidéo en service continu
• Au moins 2 ans d’expérience en gestion de personnel dans un volet technique ou analytique
• Sens aiguisé du produit et capacité démontrée à influencer les décisions par l'application de mesures concrètes
• Expérience de collaboration avec les équipes de développement pour l'instrumentation et le maintien de la qualité des flux d'information
• Maîtrise de SQL pour le traitement efficace de volumes massifs (milliards de lignes); connaissance des systèmes de calcul distribué comme Spark (Scala ou PySpark), un atout
• Expérience de développement au sein de l’écosystème analytique Python
• Connaissance des processus opérationnels de soutien : contrôle de version (GitHub ou équivalent), orchestration (Airflow) et outils de codage par IA (Claude Code)
• Compréhension de la conception expérimentale et des techniques de tests A/B
• Formation poussée en statistiques et compréhension approfondie des forces et faiblesses des différentes approches méthodologiques, un atout
• Expérience dans un environnement de type « full-stack » (acquisition, ETL, stockage, développement d'applications et contrôle de version), un atout

Avantages

Nous payons l’entièreté des primes (100 %) associées aux avantages sociaux, tant pour les employés que pour les personnes à charge, et proposons une couverture supplémentaire pour les soins médicaux, dentaires et de la vue, les maladies graves, la télémédecine, l’assurance-vie, l’assurance en cas de décès ou de mutilation par accident et l’assurance invalidité de longue durée. Nous offrons également une indemnité hebdomadaire (invalidité de courte durée) et un régime d’épargne-retraite avec cotisation concurrentielle de la part de l’employeur. En plus du programme d’aide aux employés, nous proposons un programme étoffé de bien-être mental par l’entremise de Modern Health, un organisme qui fournit gratuitement des services de thérapie et d’encadrement aux employés et aux personnes à charge.

ANALYTICS

What We Do

Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic.

What You'll Do

Epic Games is looking for a hands-on Data Science Lead to join the Gameplay Analytics team. You’ll lead a team of Data Scientists and Data Engineers and apply mixed methods to own the end-to-end life cycle of creating data assets, reports, insights, to impact the direction of efforts across Epic’s portfolio of products and ecosystems, with a particular focus on our Shooters Games (Battle Royale, Reload, OG, Blitz). The successful candidate will have the ability to apply a range of data technologies, statistical methods, and visualization methods to influence development and product teams, to manage a small team, and to partner with stakeholders across all parts of the business.

In this role, you will

• Partner with design, game development, and product management counterparts to identify opportunities for our first party Games and the business, and use data to develop metrics and insights that shape the execution of the strategy
• Work directly with engineering and data platform teams to properly scope and capture the data required to unlock insights and data models
• Transform raw data into data models, production metrics, reports, and insights
• Continuously evaluate the effectiveness of metrics and align them with long-term ecosystem growth
• Work with design, product, and analytics teams to quickly and rigorously design, test, and learn from experiments to improve our games
• Lead a small team of data analysts, help mentor them, and set the direction of our analytics approach

What we're looking for

• At least 5 years of industry or relevant experience, with proven interest in and knowledge of live service video games
• At least 2 years of experience managing a team of data professionals
• Strong product intuition and demonstrated background in influencing products by applying data and measurement to drive alignment
• Experience with working with development teams to instrument data and ensure continued data quality
• Experience with writing efficient and scalable SQL over billions of rows; it is a plus if you are familiar with distributed computing using Spark (Scala or PySpark)
• Development experience in Python analytics ecosystem
• Familiarity with supporting operational processes including: Code version control (Github or similar), Orchestration (Airflow), AI coding tools (Claude Code)
• Understanding of experimental design and A/B testing techniques
• Advanced statistical training and a thorough understanding of the associated strengths and weaknesses of different statistical approaches is a plus
• Experience in a “full-stack” environment - data file ingest, ETL, data storage interaction, application development, communication of results to storage systems, code version control is a plus

EPIC JOB + EPIC BENEFITS = EPIC LIFE

Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical.

The Role

This is a full-ownership data engineering role at the center of Medeloop's AI platform. You won't be maintaining pipelines someone else built,  you'll be architecting the data backbone that powers AI agents doing real operations at scale. You'll work directly with data scientists, AI engineers, and product teams to turn raw, complex healthcare data into the clean, structured, semantically-rich foundation our AI scientists depend on. Your work shows up in customer products and research outcomes, not internal dashboards that no one reads.Candidates who currently perform these tasks exclusively through manual processes are unlikely to be suitable for this role. We require an individual who has already adopted and integrated AI techniques to enhance operational velocity, rather than one who is contemplating future experimentation.If you want to build something that genuinely changes how medical research gets done, this is the role.

What You'll Own

• The healthcare data lake: curating, extending, and evolving it through new concepts, derived variables, and data models that directly inform our AI engines and customer products
• AI-native data workflows: designing and operating AI-powered pipelines (using tools like Claude Code and agent frameworks) to automate harmonization, cleaning, quality checks, and summarization at scale
• NLP and semantic infrastructure: building pipelines for entity extraction, concept normalization, embedding-based retrieval, and semantic search that power the AI Scientist platform
• Novel data extraction approaches: experimenting with and building new methodologies for working with unstructured clinical data, not just applying existing playbooks
• Research-grade data products: delivering analytical samples, cohorts, and final datasets that withstand scientific scrutiny and are actively used by researchers and customers
• Data governance and observability protocols: including access controls, PHI/PII handling, data classification, compliance, monitoring, alerting, data freshness, and comprehensive documentation to enable self-service capabilities.

What We're Looking For

• 3+ years of relevant data engineering or data management within an analytics-driven organization, with end-to-end ownership from raw ingestion to final data product
• Deep hands-on experience with healthcare CDMs (OMOP, FHIR, PCORnet) — designing or extending them, not just querying
• Knowledge of medical ontologies: UMLS, SNOMED CT, RxNorm
• Experience with big data, data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, embedding workflows, and other AI/ML workloads. Experience in big data tooling such as Spark, Iceberg, EMR
• Fluent in Python and SQL; comfortable across structured and unstructured data
• Proven NLP experience: semantic search, entity recognition, concept normalization, embedding pipelines
• Strong grasp of inferential statistics and cohort methodology to be a real partner to data scientists and customers (as part of onboarding)
• Experience contributing to an AI/ML product, especially in automated research or scientific discovery
• Experience mentoring other engineers and providing technical leadership

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Authorship or contribution to peer-reviewed publications or technical reports

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build