Senior Fullstack Engineer – Generative UI Platform

Join Spotify as a Data Engineer on our Platform team and be a part of our mission to unlock the power of music for millions of users around the globe. In this role, you will design, build, and maintain cutting-edge data infrastructure and pipelines that enable our teams to make data-driven decisions. Your innovative mindset and technical expertise will play …

The Platform team at Spotify is dedicated to developing cutting-edge technology that facilitates rapid learning and scalability, ensuring swift growth in our user base and business globally. Our multidisciplinary approach enables us to construct the necessary infrastructure, tools, frameworks, and capabilities to welcome a billion customers.We are actively seeking a Senior Data Engineer to become a vital part of the Cost Engineering Product Area. Our mission is to promote sustainability through cost and climate intelligence, enhancing Spotify's capacity to share creativity with the world. The Cost Engineering team plays a crucial role in optimizing both the cost and carbon footprint of our infrastructure and software, operating at the intersection of technology, product, procurement, and finance.As a Senior Data Engineer within Cost Engineering, you will have a significant influence on decisions that shape Spotify’s technological and financial future. By designing and implementing the data systems that drive our cost efficiency practices, you will lay the groundwork that enables us to minimize our costs and carbon footprint, allowing Spotify to grow sustainably while mitigating our climate impact.

Join Spotify as an Engineering Manager II leading our Analytics Platform team. In this pivotal role, you will spearhead the development of advanced analytics solutions that drive strategic decision-making and enhance user experiences. Collaborate with cross-functional teams to deliver innovative products that leverage data insights.

Join our dynamic team at Spotify as an Account Executive specializing in Backstage. This role is pivotal in building and nurturing relationships with clients, ensuring they maximize their experience with our innovative platform. As part of our Toronto team, you will collaborate with cross-functional teams to deliver excellent service and drive growth.

Join Spotify's innovative Platform Mission as a Data Scientist, where you'll leverage data-driven insights to enhance our platform's capabilities. Collaborate with cross-functional teams to design and implement models that drive strategic decision-making and improve user experience.

Join the User Platform (UP) team at Spotify, a key component of our SAFE Alliance, dedicated to enhancing the user experience through innovative Customer Identity and Access Management (CIAM). Our mission is simple yet profound: to create seamless connections between Spotify and our 700 million users worldwide.The User Platform is designed to provide a secure environment where users can manage their identity and account information across multiple interfaces. By doing so, we empower internal teams to deliver personalized user experiences that cater to individual preferences.As a member of the Lockness team, you will play a crucial role in shaping business authorization processes at Spotify. We are a full-stack team responsible for developing foundational IAM capabilities that ensure security while enabling rapid innovation. As a Backend Engineer, you will contribute to building, maintaining, and scaling our next-generation Business IAM, expanding our authorization platform's functionality and reach.

Join Spotify's dynamic team as a Backend Engineer focused on our Platform. In this role, you will have the opportunity to design, develop, and maintain backend services that support our vast music streaming ecosystem. You'll work alongside talented engineers to deliver high-quality solutions that enhance user experience and drive innovation.

As an Associate Data Scientist focusing on User Fraud at Spotify, you will play a pivotal role in safeguarding our platform against fraudulent activities. You will leverage data analysis and machine learning techniques to identify and mitigate risks while enhancing user experience. Join us in our mission to provide a secure and trustworthy environment for our users.

Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.

Join shyftlabs as a Sales Engineer specializing in AI and Data Platforms. In this role, you will leverage your technical expertise to support the sales team in delivering innovative solutions to our clients. You will work closely with customers to understand their needs and demonstrate how our products can drive their success. Your ability to communicate complex technical concepts in an understandable way will be key to your success.

At RAVL, we empower technologists to fast-track their careers.We bridge the gap between strategy and execution, prioritizing the well-being of our team members and measuring success through the enduring impact we create. Our mission is to assemble a team that centers sustainable business outcomes in every aspect of our work.Our goal is to enhance our clients’ situations and foster an environment where our team is proud to Build. Better.As a Platform Engineer at RAVL, you will be responsible for designing and implementing the platforms, infrastructure, and automation that drive modern engineering teams. You will utilize your extensive technical expertise, inquisitiveness, and practicality to construct cloud-native environments that ensure speed, security, and reliability at scale. Your role will involve automating processes wherever feasible, codifying environments, and making continuous delivery a standard practice for both RAVL and our clients.

Greetings, Future Homie!Join us at Homebase, where we are passionate about empowering small businesses to flourish. Our dynamic team is driven by empathy, urgency, and a bold approach that leads to meaningful outcomes. At Homebase, every team member contributes to elevating our standards, supporting each other, and celebrating our collective successes.We are not merely developing an application; we are fostering unstoppable teams. Are you ready to join us?Your Impact Begins HereAs a Platform Engineer, you will play a key role in designing and implementing components for our data and ML platforms. Your contributions will empower data engineering, data science, and product teams to create features driven by data and machine learning, ensuring that our systems are scalable, reliable, and seamlessly integrated.Architect, develop, and enhance the ingestion processes for large volumes of both structured and unstructured data from a variety of sources.Facilitate data architecture transformation initiatives on Databricks, promoting scalable and efficient systems.Lead the design and implementation of platform components for training, deploying, and monitoring machine learning models in production environments.Provide insights into industry best practices, tools, and technologies in the field of machine learning engineering.Champion continuous enhancements of data and ML workflows through automation and innovative solutions.Own projects end-to-end, ensuring successful delivery from planning to execution.Collaborate with cross-functional teams to gather business requirements and develop effective technical solutions. Key to Your Success - These experiences and strengths will position you for success:Over 5 years of experience in software development, with a focus on data and machine learning.Proficient in SQL, Python, and Databricks.Experience with Airflow, Kafka, and Redshift.Strong skills in data modeling and database design.Expertise in building and deploying machine learning models, including language models.Experience in creating model serving pipelines for batch, streaming, and real-time inference.Demonstrated ability to work collaboratively in a fast-paced environment.

About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions. Our mission is to empower businesses by enhancing their marketing and recruitment processes through innovative and user-friendly technology. We are on the lookout for a skilled Data Engineer to join our dynamic team. In this role, you will be instrumental in developing the architecture necessary for the collection, storage, and processing of large datasets, ensuring that we have reliable access to data that drives informed decisions and fosters innovation.Position Overview:The Data Engineer will take charge of designing, building, and maintaining robust data pipelines, ensuring efficient data collection, storage, and processing across various systems. You will collaborate closely with data scientists, analysts, and other key stakeholders to guarantee that data is accessible, accurate, and reliable for business analysis and strategic decision-making.

At Braze, our team is not just a workforce; we are a community of approachable, kind, and passionate individuals. We are united by a shared commitment to excellence, teamwork, and a harmonious work-life balance as we navigate rapid global growth while promoting equity and opportunity within and beyond our organization.To succeed in our environment, you must be ready to set high standards for yourself and inspire those around you. We believe there is always a way to contribute; autonomy, accountability, and openness to new perspectives are critical to our success.Our insatiable curiosity and eagerness to share diverse interests create a unique vibrancy in our culture. If you are motivated to tackle exciting challenges and embrace change with action, you will have the opportunity to make a significant impact alongside a dedicated and passionate team. If Braze resonates with you, we are eager to meet you!WHAT YOU'LL DOJoin the AI Platform team at Braze to develop and expand the BrazeAI Decisioning Studio—a cutting-edge reinforcement learning platform that spearheads AI Decisioning. This platform facilitates continuous experimentation and tailors customer engagement at an individual level, enabling brands to evolve from traditional rule-based campaigns to autonomous, self-optimizing interactions. You will work at the intersection of cloud-native infrastructure, data-intensive systems, and machine learning in production.Key Responsibilities:Design and uphold essential services and subsystems on our AI platform, balancing performance with cost efficiency.Implement cloud-native solutions that guarantee reliability, scalability, and fault tolerance.Resolve production incidents comprehensively, delving deep to identify root causes and apply sustainable fixes.Contribute to observability practices using Sentry and Datadog to proactively identify issues and reduce downtime.Collaborate with data scientists, ML engineers, and product teams to transform real-world use cases into platform capabilities.Enhance the developer experience by optimizing workflows, improving tools, and advocating for MLOps best practices.Technological Stack:Core Data & ML: Python, Ibis, FastAPI, Dataproc (Spark), SQL, BigQuery, MLflow, StreamlitPlatform & Infrastructure: Google Cloud Platform, AWS, Kubernetes, Helm, TerraformWorkflows & Orchestration: Airflow, RabbitMQ, CeleryCI/CD: GitHub Actions, Jenkins

Join Warner Music Group, a vibrant global community of music creators, innovators, and passionate professionals. Here, we transform dreams into reality and cultivate fandoms that resonate worldwide. Our operations are anchored by three fundamental values that guide our diverse endeavors: • Curiosity: Our creativity flourishes when we explore culture and push boundaries. Curiosity fuels our innovation, which is essential for our future success.• Collaboration: The essence of music-making lies in originality enhanced by teamwork. Great ideas resonate globally, and we ignite passion and forge connections within our diverse network of artists, songwriters, partners, and fans.• Commitment: We strive for excellence for our team and our talent. Every aspect of music involves venturing into the unknown, and we are dedicated to maintaining integrity and fulfilling our promises.Technology is integral to our business. From onboarding new artists to delivering precise data to platforms like Spotify and YouTube, or empowering artists with cutting-edge AI tools and insightful data, technology is the backbone of our success. Our engineering team at Warner Music Group brings these visions to life.We proudly represent a diverse array of artists, musicians, and songwriters who contribute to our achievements. We are committed to fostering a work environment that values, appreciates, and respects every individual, encouraging applications from candidates with a variety of backgrounds and experiences.Consider a career at WMG, where you can enjoy the dynamism of a global music powerhouse while embodying the creative spirit of an independent entity.Your Role:We are developing the next-generation Data Platform, designed to set benchmarks in freshness, accuracy, comprehensiveness, and usability, to empower Warner Music Group’s operations. We are reengineering this platform from the ground up, encompassing:

Role overview eqbank is looking for a Data Engineer based in Toronto. The main focus is on building and maintaining data pipelines that transform raw data into useful insights. These efforts help teams across the company use information to reach business objectives. What you will do Design and build data pipelines for efficient collection, processing, and storage Create analytics solutions that help drive business decisions Work with colleagues from different departments to understand data requirements and deliver results Contribute to improving how data is managed and used throughout eqbank Collaboration and impact This role involves close collaboration with teams from various parts of the business. The aim is to ensure data remains accurate, easy to access, and valuable for both daily operations and long-term planning.

At RAVL, we empower technologists to elevate their careers.Our mission is to seamlessly integrate strategy with execution, fostering deep connections with our team members and clients alike. We gauge our success by the enduring impact we create, focusing on delivering real, sustainable business outcomes.We are dedicated to leaving our clients in a better position than we found them, while cultivating an environment where our team members take pride in Building. Better.As a Data Engineer at RAVL, you will be responsible for designing, constructing, and managing the data pipelines and platforms that facilitate informed decision-making in contemporary organizations. Your role will require a blend of curiosity, technical expertise, and a commitment to delivery — transforming raw data into dependable, high-quality resources that enable insights, analytics, and machine learning. You will engage with various cloud environments, architecting data systems that are resilient, secure, and designed for scalability.

Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.

Join Lyft as a Data Engineer, where your expertise will drive innovative data solutions that enhance our ride-sharing platform. Collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support data analytics and machine learning initiatives.