Senior Data Engineer at relayfi | Toronto, ON

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

Join our innovative team as a Senior Sales Engineer specializing in Data & AI Security. In this dynamic role, you will leverage your technical expertise and sales acumen to provide cutting-edge solutions to our clients. You will work closely with our sales team to drive growth and enhance customer satisfaction by demonstrating the value of our advanced data protection and AI-driven security technologies.As a key player in our organization, you will engage with clients to understand their needs, deliver tailored presentations, and provide hands-on support during the implementation of our solutions. Your ability to communicate complex technical concepts to non-technical stakeholders will be crucial in helping our clients realize the full potential of our offerings.

Overview: Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products. This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings. The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery. This is a hybrid position based in Toronto.

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.

Join Affinity as a Senior AI Engineer on our AI Platform team, where you will leverage your expertise in artificial intelligence to drive innovative solutions. In this role, you will collaborate with cross-functional teams to design, develop, and implement AI models that enhance our product offerings. You will work in a fast-paced environment, utilizing cutting-edge technologies to solve complex challenges and improve user experiences.

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.

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.

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.

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 Terawatt Infrastructure as a Senior Data Engineer, where you will play a pivotal role in shaping our data strategies and solutions. In this fully remote position, you will be responsible for designing, building, and maintaining robust data architectures that support our data-driven decision-making processes. Collaborate with cross-functional teams to ensure data integrity and availability while driving continuous improvement in our data management practices.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

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 Senior Data Engineer and play a pivotal role in creating scalable data solutions that enhance our services and drive our business forward. You will work closely with cross-functional teams to design, build, and maintain data pipelines that support analytics and machine learning initiatives.

About Rootly At Rootly, we are dedicated to becoming the preferred solution for organizations when incidents occur, enhancing reliability across the board. Our industry-leading incident management platform empowers companies globally to swiftly and effectively address incidents. We are not just revolutionizing an industry; we are pioneering a brand-new, multi-billion dollar segment and require exceptional talent to help us realize this ambitious vision. Our clients love Rootly. Fast-growing enterprises such as NVIDIA, Figma, Canva, Tripadvisor, and Squarespace depend on Rootly to streamline their critical incident management processes. They appreciate our user-friendly, enterprise-ready platform and our unique partnership model. Discover why we have earned 5-star reviews on G2. Our investors share our passion. Backed by esteemed funds including Y Combinator and prominent operators like the CTOs of Dropbox and GitHub, we are eager to share our comprehensive funding and profitability status during interviews. Transparency is integral to our culture; we conduct monthly financial reviews as a team to keep everyone informed about the company's health and share updates via our weekly changelog. About the Role We are seeking a Senior AI Engineer to spearhead the development of an innovative AI-driven reliability assistant. This role transcends traditional machine learning tasks; it focuses on LLM engineering and AI agent development, utilizing cutting-edge AI technologies (including LLMs, vector embeddings, semantic and hybrid search, and vector databases) to create a non-deterministic product that delivers significant value to engineers and accelerates incident resolution. As an early member of the engineering team at Rootly, you will have complete ownership of this initiative, playing a crucial part in shaping both the product and the company. If you excel in a dynamic environment that values rapid development, deployment, and iteration, this opportunity is perfect for you. What You'll Do Lead the creation of an AI-powered reliability assistant that extracts pertinent context from various data sources such as observability tools, GitHub, deployment histories, past incidents, and playbooks. Develop LLM-powered features that convert raw data into actionable insights for engineers managing incidents. Establish evaluation frameworks to assess AI performance in real-world scenarios.

ShyftLabs delivers data-driven digital products for Fortune 500 clients, working across industries to create measurable business results. Since 2020, the company has grown teams in Canada, the U.S., and India, and values people who turn ambitious ideas into practical solutions. Role overview The Senior AI Engineer position is based in Toronto and focuses on building and deploying AI-powered features in production environments. This is a hands-on engineering role, working closely with Product, Architecture, and other engineering teams to deliver intelligent capabilities for ShyftLabs’ data-centric platforms. The role also involves contributing to the backend infrastructure that supports these products, with an emphasis on scalability and reliability. What you will do Design, build, and deploy AI and machine learning features directly into production systems Work with cross-functional teams to integrate intelligent functionality into new platforms Help develop backend platforms, focusing on scalability and resilience Requirements Significant experience in AI or machine learning engineering Strong skills in backend development Experience with fine-tuning large language model integrations Ability to design resilient APIs or event-driven services

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.

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.