Senior Data Engineer, Event Data

Role Overview Movable Ink is hiring a Senior Data Engineer focused on Event Data for the Toronto office. This role centers on building and maintaining data pipelines that support marketing strategies for leading brands. The work involves modern data technologies and emphasizes both the reliability and accessibility of event data.

Who are we?At Cohere, our mission is to elevate intelligence for the benefit of humanity. We are dedicated to training and deploying cutting-edge models for developers and enterprises, enabling them to create extraordinary experiences like content generation, semantic search, retrieval-augmented generation (RAG), and advanced AI agents. We believe our efforts are pivotal for the broader acceptance of AI technologies.Our team is passionate about our creations, with each member playing a vital role in enhancing the capabilities of our models and the value they provide to our clients. We thrive on hard work and agility, always prioritizing our customers' best interests.Cohere comprises a diverse group of researchers, engineers, designers, and other professionals, each excelling in their respective fields. Our belief is that a rich variety of perspectives is essential for developing exceptional products.Join us in shaping the future!Cohere Labs serves as our dedicated research division, pushing the boundaries of machine learning through collaborative research and hands-on experimentation. We tackle frontier challenges in natural language processing (NLP) and AI, while fostering an environment where researchers and engineers from various backgrounds can learn, contribute, and grow.We prioritize building thoughtful and practical solutions, ranging from innovative methods and datasets to tools that enhance research accessibility. Our core values include curiosity, ownership, and tangible impact over mere buzz.Why join Cohere Labs?Cohere Labs unites researchers and engineers in the pursuit of bold ideas, translating them into functional systems. We are committed to advancing machine learning while enhancing access to applied research training and fostering global collaboration.We realize this mission through two main avenues:Fostering open, collaborative research environments where engineers and researchers tackle ambitious ML challenges together.Broadening access to applied research training, supporting early-career engineers in becoming strong contributors to research.About the roleWe are in search of Research Engineers who are eager to engage in practical work: conducting experiments, debugging models, scaling training pipelines, and transforming research concepts into operational systems.This role is highly hands-on. You will collaborate closely with scientists and fellow engineers to apply new methodologies, execute large-scale experiments, and help develop the infrastructure that underpins our research initiatives.

About NationGraphNationGraph is revolutionizing access to public sector data, making it not just accessible but actionable for businesses targeting municipalities, state agencies, educational institutions, and special districts. Our innovative data and intelligence engine extracts buying signals from vast public sector sources, empowering our clients to make informed decisions. Founded in 2024, our mission is to democratize public data because we believe it should be truly public. Discover more at nationgraph.comJoin Our Dynamic Founding Team:Comprising seasoned entrepreneurs who have successfully built, scaled, and sold companies.Experienced in developing software infrastructure that handles billions in transactions.Supported by top-tier venture capitalists and operating partners who have been integral to the success of iconic firms.About The Role:Lead product and engineering initiatives within our fast-growing startup.We seek an individual with strong convictions on creating exceptional products, crucial to defining features and architecture from inception.Work on the forefront of technology, leveraging AI advancements to enhance our offerings.Accelerate your professional growth by tackling complex, novel challenges alongside a high-caliber team.Your decisions will significantly influence the company's direction.Collaborate with a team that prioritizes product elegance and user experience within a design-centric culture.Engage regularly with design, sales, and marketing teams to craft comprehensive product narratives.

Join IXL Learning, a pioneering developer of personalized educational products that impact millions globally. We are on the lookout for a passionate Software Development Team Lead to guide our efforts in creating innovative solutions that simplify integrations for IXL’s major school districts.At IXL Learning, we are committed to developing groundbreaking products that harness advanced technologies to tackle significant challenges in education. With millions relying on our tools for effective learning, we seek exceptional individuals who are eager to address real-world issues faced by students and educators.As a Software Development Team Lead on our Integrations team, you will spearhead the design and development of systems that ensure seamless implementations of IXL within various educational environments. This role offers an incredible opportunity to manage a team of talented engineers while providing hands-on technical and project leadership in a mission-driven, high-growth company. We are excited to create products that profoundly influence the lives of many and invite you to be a part of our journey.This position is full-time, based in our Toronto office, with a work schedule from Monday to Friday and the option to work from home one day per week.

ZoomInfo Technologies Inc. is looking for a Senior Data Engineer based in Toronto, Ontario. This position centers on transforming raw data into actionable insights that support business decision-making. Role overview As a Senior Data Engineer, collaboration with experienced team members is a key part of the job. Projects handled in this role influence how data is managed and applied throughout the company. What you will do Convert large sets of raw data into clear, usable information Support business teams by providing data-driven insights Work closely with colleagues on data-focused projects Location This role is based in Toronto, Ontario, Canada.

At Lyft, we are dedicated to connecting people and enhancing their lives through innovative transportation solutions. We foster an inclusive workplace that encourages every team member to thrive and contribute to our mission.With over 500 million rides completed, Lyft is at the forefront of solving complex problems in a data-rich environment, spanning various domains such as Marketplace, Mapping, Fraud Prevention, Trust & Safety, Growth, and more. Our goal is to revolutionize transportation by leveraging cutting-edge machine learning techniques on massive datasets, enabling us to create impactful, cost-effective transportation solutions. Our dynamic team of motivated Machine Learning Engineers tackles these challenges head-on, crafting solutions that significantly influence our core business operations.If you are a critical thinker with a robust background in machine learning workflows and a passion for utilizing data to solve real-world business problems, we want to hear from you!As a Machine Learning Engineer at Lyft, you will be instrumental in developing and deploying algorithms that power our platform's essential services and products. The range of problems we address is exceptionally diverse, encompassing transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We seek passionate experts in these fields who thrive in a fast-paced, innovative, and collaborative environment.

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.

About Us:At Cohere, our vision is to harness AI to enhance human potential. We are pioneering the development and deployment of advanced AI models that empower developers and enterprises to create transformative experiences through innovative applications such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our contributions are vital to the broader adoption of AI technologies.We take immense pride in our work. Every team member plays a crucial role in enhancing our models' capabilities and delivering exceptional value to our clients. Our culture emphasizes agility and a commitment to excellence, always prioritizing the needs of our customers.Cohere is a diverse team of dedicated researchers, engineers, and designers, all at the top of their fields. We believe that a variety of perspectives is essential for creating outstanding products. Join us in our quest to shape the future of AI!Why Join Us?We are committed to developing machines that comprehend the complexities of the world and make them universally accessible. The quality of our data is critical to this mission. Just like humans, large language models learn through feedback. Your role in labeling, ranking, auditing, and refining text outputs will significantly enhance the performance of our AI models, leaving a lasting mark on Cohere’s technological advancements.We are looking for passionate and skilled Data Annotation Specialists with expertise in Modern Standard German writing, translation, and data handling.Note: This is a part-time independent contractor role available in Canada. We require a minimum commitment of 16 hours per week at a competitive rate of 30 CAD/hour. This position is BYOD (Bring Your Own Device) and allows for remote work within Canada. The contract duration is for 12 months, with performance-based incentives included!In your role as a Data Annotation Specialist, your responsibilities will include:Labeling and Ranking: Precisely label and rank machine learning datasets with advanced proficiency in German, ensuring high data integrity and quality.Auditing and Correcting: Thoroughly review and amend inaccuracies in language data—including text, images, JSON, TSV/CSV, and Markdown—to uphold the utmost standards of data accuracy.Text-Based Tasks: Complete reading and text-oriented assignments efficiently, demonstrating meticulous attention to detail.Preference-Based Tasks: Handle tasks based on specific preferences to optimize model training.

Fivetran builds technology that helps organizations turn customer data into actionable insights without heavy engineering or ongoing maintenance. The ETL Platform team plays a key role in supporting the core infrastructure behind Fivetran’s sync engine, making sure data flows smoothly and reliably for customers. Role overview The Senior Software Engineer will join the ETL Platform group, focusing on projects that improve how Fivetran captures, stores, and processes large datasets. Recent work includes a Sync Tracking overhaul, which gives customers better visibility into their data movement and helps maintain accuracy and reliability. What you will do Contribute to the foundational systems that power Fivetran’s sync engine Work on initiatives that enhance the tracking and processing of high-volume data Help manage a scalable fleet of machines that adapts to changing customer needs Support the team’s role as essential infrastructure within the company Work arrangement This is a full-time, hybrid position based in Toronto, Ontario. The schedule blends remote work with in-person collaboration, with two days per week in the office for team activities.

Role Overview AECOM is hiring a Data Center Design Manager in Toronto. This role leads the design and delivery of data center projects from concept through completion. The manager ensures all designs meet industry standards, project milestones, and budget requirements. What You Will Do Oversee the development and execution of data center designs Ensure all projects comply with current industry standards and regulations Deliver high-quality designs on schedule and within budget Work closely with multidisciplinary teams across architecture, engineering, and construction Support project success in a rapidly changing technology sector Location This position is based in Toronto.

Join Rockstar, a dynamic technology company on a mission to revolutionize workforce development. We are committed to creating innovative digital solutions that empower individuals and organizations to excel in today’s economy. We are currently seeking a talented Senior Data Engineer to enhance our core data platform and generate transformative business outcomes.A Senior Data Engineer will be integral to the team, contributing to the advancement of our core data platform, which encompasses data pipelines, machine learning models, and diverse databases. The ideal candidate will possess a robust combination of technical data skills and business acumen to establish a solid foundation of dependable data. Your expertise in data engineering will be crucial in developing high-performing pipelines.Your Responsibilities:- **Data Infrastructure**: Design and maintain the infrastructure that supports the data platform, including pipeline orchestration, data warehousing, and machine learning.- **Data Solutions**: Collaborate with a team of data scientists to develop and sustain data solutions that enable our products to operate efficiently and effectively at scale.- **Data Governance**: Champion best practices in data governance, ensuring data accuracy, accessibility, and compliance across all systems.- **Cross-Platform Data Integration**: Identify and integrate data from various platforms to meet real business needs in product development, engineering, and go-to-market strategies.- **Evolving Core Data Models**: Continuously enhance foundational models by pinpointing and incorporating new, high-value data sources.30/60/90 Day Strategy:30 Days:- Onboard and familiarize yourself with our stack and product.- Understand customer profiles, their challenges, and how data can be utilized to address their needs.- Gain insights into core data entities and their influence on our products.- Begin enhancing core data pipelines by adding layers for data quality and enrichment.60 Days:- Collaborate with data scientists to design datasets and processes that optimize complex workflows.- Take ownership of segments of the data catalog by defining and maintaining metrics, dimensions, and lineage.- Assist teams in extracting value from the platform’s data through consistent reporting and analysis.90 Days:- Automate reporting workflows from data ingestion to dashboard creation and tools.- Independently collect reporting and insights requirements from stakeholders.- Present findings and recommendations to stakeholders to facilitate data-driven decision-making.Required Qualifications:- Proven track record in translating ambiguous business requirements into actionable data engineering solutions.

At Cerebras Systems, we are revolutionizing AI technology with the world's largest AI chip, which is 56 times larger than traditional GPUs. Our innovative wafer-scale architecture equips users with the computational prowess of multiple GPUs on a single chip, simplifying programming tasks. This groundbreaking approach enables unparalleled training and inference speeds, allowing machine learning practitioners to seamlessly operate extensive ML applications without the complexities of managing numerous GPUs or TPUs. Cerebras proudly serves an impressive clientele, ranging from leading model laboratories to major global enterprises and pioneering AI startups. A testament to our capabilities, OpenAI has recently forged a multi-year partnership with Cerebras, aimed at delivering 750 megawatts of scale and transforming critical workloads through ultra-fast inference. Our state-of-the-art wafer-scale architecture empowers Cerebras Inference to provide the fastest Generative AI inference solution globally, boasting speeds over ten times faster than GPU-based hyperscale cloud inference services. This extraordinary increase in speed is redefining user experiences with AI applications, enabling real-time iterations and enhancing intelligence through additional agentic computation.About the RoleWe are on the lookout for a dynamic and seasoned engineer to join our Inference Core Model Bringup team. This team is tasked with the rapid deployment of advanced open-source models (such as LLaMA, Qwen, etc.) or proprietary models provided by customers on our Cerebras CSX systems. Success in this role necessitates a systems-oriented generalist who flourishes in fast-paced environments and is adept at navigating the entire Cerebras software stack. Your contributions will be instrumental in achieving unprecedented performance, efficiency, and scalability for AI applications.

Role Overview Paytm is hiring a Staff AI Platform Engineer in Toronto, Canada, with a focus on Inference and Agentic Systems. This role centers on designing and improving AI-powered platforms that support intelligent, agent-like features for users and business applications. What You Will Do Work with a skilled team to build and refine AI solutions that support agentic behaviors and inference-driven capabilities. Apply experience in machine learning, software engineering, and system architecture to develop and scale reliable AI platforms. Contribute technical leadership and hands-on expertise to projects that advance Paytm’s AI offerings. Key Skills Deep knowledge of machine learning and inference methods Strong background in software engineering Experience designing and maintaining complex system architectures

Join Deep Genomics as a Senior MLOps Engineer, where you will play a pivotal role in deploying and optimizing machine learning models for groundbreaking applications in genomics. You'll collaborate with multidisciplinary teams to enhance our AI-driven platform, ensuring robust and scalable solutions in a fast-paced environment.

NetBrain Technologies Inc., established in 2004, develops no-code network automation solutions. The company’s Next-Gen platform supports IT operations teams in managing complex hybrid multi-cloud networks. Features include automated troubleshooting, proactive outage prevention, and secure change management. Over 2,500 enterprises and managed service providers use NetBrain’s technology to improve network operations. Role overview The Senior AI Engineer will design and implement production-ready agent and Retrieval-Augmented Generation (RAG) systems for intelligent automation within the NetBrain platform. This position combines hands-on engineering with architectural planning, focusing on building scalable, observable, and reliable systems in a live environment. The work involves moving quickly from prototypes to deployed solutions, working through ambiguity, and maintaining high standards for quality and safety. Key responsibilities Design and develop core agent platform features, including orchestration patterns such as ReAct and Plan-and-Execute, tool execution layers, memory and context management, and safety controls. Build reusable agent skills and create a standardized tool ecosystem tailored to the platform’s needs. Location This role is based in Toronto, ON, with a hybrid work arrangement.

Hello, Future Homie!At Homebase, we invite you to be part of a dynamic team that is innovative, swift, and dedicated to empowering small businesses. Our culture is built on empathy, urgency, and a passion for taking bold actions that create significant impacts. Every member at Homebase, affectionately known as a 'Homie,' is committed to elevating standards, providing support, and celebrating team victories.We're not merely developing an application; we're cultivating unstoppable teams. So, are you ready to join us?Your Impact Begins HereWe're in search of a Data Engineer who will help us revolutionize the way small businesses leverage data. This role is not just about creating data pipelines; it's an exciting chance to construct the backbone of AI-driven, rapid insights that power our innovations at Homebase.You will be responsible for developing and maintaining data pipelines, models, and reporting mechanisms that transform raw data into intelligent products and swift solutions. This position demands both technical prowess and a sense of ownership—you'll guide projects from concept to deployment, ensuring they are scalable, dependable, and yield measurable business results.Your Contributions will Include:Designing, developing, and optimizing data pipelines for processing structured & unstructured data at scale.Building and maintaining data models (fact, dimension, slowly changing dimensions, medallion/layered architecture, marts).Creating reports and dashboards to aid in business performance analysis.Collaborating with product, data science, and analytics teams to enable AI-powered features.Assisting with data architecture transformation & migration on Databricks.Quickly troubleshooting and resolving data quality/performance issues.Optimizing queries and enforcing best practices for reliability and velocity.Driving continuous workflow improvements through automation and experimentation.Leading projects from planning through execution to delivery. Key Strengths for Success: These experiences and strengths will set you up for triumph in this role:5+ years of experience in software/data engineering.Proficient in SQL (including window functions, CTEs, complex joins).Strong understanding of data pipeline architecture and data modeling.Experience with cloud platforms and big data technologies.A proactive approach to problem-solving and a passion for continuous learning.

Achievers is looking for a Senior Backend Software Engineer to join the Data Intelligence team in Toronto. This role centers on building and maintaining backend services that transform data from our SaaS platform into actionable insights for clients. Role overview As part of the team, you will design and develop backend systems using Python and Go. Our services run on a microservices architecture, deployed with Google Cloud Platform and Kubernetes. The focus is on delivering intelligent, high-impact solutions that help organizations use their data more effectively. What you will do Develop and maintain backend services that process and analyze platform data Work with Python and Go in a microservices environment Deploy and manage services on GCP and Kubernetes Help create seamless and valuable user experiences by solving engineering challenges at scale Requirements Experience with backend development using Python and/or Go Familiarity with microservices architecture Experience deploying services on Google Cloud Platform and Kubernetes Strong problem-solving skills and ability to work on large-scale systems Note: This position is focused on backend engineering, not data engineering.

Since its inception, Fivetran has been dedicated to simplifying and ensuring reliable access to data, akin to the reliability of electricity. Our customers benefit from seamless data integration into their warehouses, ready for querying without the burden of engineering or maintenance. We take pride in empowering organizations to become genuinely data-driven through our innovative technology.About the RoleWe are seeking a Staff Software Engineer to join our Reverse ETL product engineering team.Previously known as Census, we became part of Fivetran in May 2025 to enhance our warehouse-first data movement solutions. We are now integrating our product into the Fivetran dashboard, delivering top-tier data activation capabilities to all our clients.In this role, you will be instrumental in embedding data activation features into the Fivetran platform across various aspects such as user interface, authentication, billing, data models, and more. As a senior member of a diverse and collaborative agile team, you will work alongside engineers of varying experience levels.This is a full-time position based in our Toronto office. We offer a hybrid work model that combines remote flexibility with in-person teamwork, including two days a week in the office to foster connections and collaboration.

At Gusto, we are driven by a mission to empower the small business economy. We manage the complexities of payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: their craft and their customers.With teams based in Denver, San Francisco, and New York, we proudly support over 500,000 small businesses across the nation. We are committed to building a workplace that mirrors the diverse communities we serve.All full-time employees enjoy competitive base salaries, comprehensive benefits, and equity in the form of RSUs, as we believe that those who contribute to Gusto’s growth should also share in its success. Compensation packages are tailored to role, level, and location. Find out more about our Total Rewards philosophy.AI technology plays a vital role at Gusto. We encourage all team members to engage actively with AI tools relevant to their roles and to enhance their proficiency as technology evolves. Requirements related to AI experience will be evaluated during the interview process.The Data Engineering team is responsible for creating tools and systems that ensure Gusto's data is consistent, user-friendly, and actionable. Our mission is to empower teams to make data-driven decisions and deliver tailored experiences to our customers.We are in search of a Senior Data Engineer who can navigate loosely defined problems and drive them from conception to execution—this includes framing the issues, aligning stakeholders, and designing, building, and deploying robust data solutions. You will collaborate closely with analytics, product, and engineering teams to implement data strategies that yield significant business and customer outcomes.

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.