Data Engineer at ShyftLabs | Toronto, Ontario

Canonical, a trailblazer in open source software and operating systems, is seeking a talented Data Center Infrastructure Engineer to join our vibrant team in Toronto. As a key player in our mission, you will be responsible for overseeing our MAAS test labs and ensuring the seamless operation of our data center that supports Ubuntu server certification for leading US-based silicon and server designs. Your role will involve deploying and configuring servers and network switches, maintaining an organized inventory of hardware, and handling the onboarding of new equipment. With a focus on software-driven operations, you will utilize your Python development skills to enhance our data center's efficiency. If you're passionate about data center technology and enjoy hands-on problem-solving, this is an exciting opportunity to contribute to cutting-edge initiatives in cloud computing and infrastructure management.

Canonical, a front-runner in open source software solutions, is seeking a talented MAAS Systems Engineer to enhance data center operational efficiency in our Toronto lab. In this role, you will manage day-to-day operations, develop tooling for automated server and network switch deployment, and tackle complex challenges related to hardware commissioning and performance optimization. Ideal candidates possess solid Python programming skills and a passion for distributed systems. Join us and contribute to transformative enterprise projects utilizing cutting-edge technologies!

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 Tenstorrent as an Infrastructure Automation Engineer and be a key player in revolutionizing the way we manage and automate infrastructure. In this role, you will design, implement, and maintain automation solutions that drive efficiencies across our systems and enhance our operational capabilities.

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.

ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.

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.

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.

About IdeogramAt Ideogram, we are on a mission to democratize world-class design, enhancing human creativity through innovative solutions. Our proprietary generative media models and AI-driven creative workflows address previously unsolved problems in graphic design. Our team is composed of pioneers with proven success in technology breakthroughs, including foundational research in Diffusion Models and the development of Google’s Imagen and Imagen Video. We prioritize design, aesthetics, and craftsmanship, alongside rigorous research and engineering, delivering experiences that resonate with creatives.With nearly $100 million raised from leading investors like Andreessen Horowitz and Index Ventures, Ideogram is headquartered in Toronto and expanding rapidly, aiming to triple our team this year. We foster a flat organizational structure, encouraging a culture of ownership, collaboration, and mentorship.Discover more about our innovations by exploring Ideogram 3.0, Canvas, and Character. Experience Ideogram at ideogram.ai.About The RoleWe are searching for a talented Software Engineer specializing in ML Data Infrastructure to join our innovative team. You will collaborate with a group of skilled engineers to create cutting-edge AI design experiences that engage millions of users.You will thrive in this role if you are passionate about:Collaborating on complex technical challenges, from scaling distributed systems to enabling novel generative media experiences.Constructing robust data infrastructure capable of supporting foundation models at petabyte scale, ensuring reliability and performance across multi-modal training pipelines.Optimizing data processing workflows for high throughput, engaging directly with distributed systems, TPU infrastructure, and large-scale storage solutions.Partnering with research scientists to grasp data requirements and translating them into production-grade systems that expedite model development cycles.What We’re Looking ForTechnical Excellence2-5 years of experience in developing and deploying large-scale distributed systems, showcasing the ability to manage complexity through thoughtful abstractions and scalable design.Strong grasp of data structures, algorithms, and system design principles.

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.

About Us:In an era where data is distributed across multiple clouds and devices, conventional security measures no longer suffice. Businesses require a proactive and adaptable strategy to fend off persistent cyber threats while ensuring seamless data protection. Fortanix is at the forefront of data-centric cybersecurity, particularly for hybrid multicloud environments, leveraging cutting-edge cryptography, robust encryption, and confidential AI solutions.With the increasing frequency of data breaches and the inadequacy of traditional defenses, our focus is on managing data exposure to safeguard your information. Our integrated data security platform effectively identifies and mitigates vulnerabilities within hybrid multicloud settings, defends against various threats, and facilitates the discovery, assessment, and rectification of data exposure risks. We assist organizations globally in implementing a Zero Trust model and preparing for the post-quantum computing landscape, ensuring the protection of their most sensitive data, regardless of its location.Our dedication to addressing the world’s most challenging data security issues has earned Fortanix numerous Cybersecurity Excellence and Innovation Awards, along with accolades from industry leaders such as NVIDIA, Microsoft, Intel, ServiceNow, and Snowflake.Our team comprises industry pioneers and cryptography specialists, fostering a culture of trust, innovation, and collaboration where every contribution is recognized. Acknowledged as a Great Place to Work, we seek passionate individuals eager to help us redefine the future of data security and contribute to a safer digital landscape.

Join Lyft as a Data Engineer and play a pivotal role in shaping our data architecture and infrastructure. You will collaborate closely with cross-functional teams to design and implement robust data pipelines that enable data-driven decision-making across the organization.

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.

At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Konrad Group is a digital consultancy that creates technology solutions for complex business challenges. The team values creativity, technical expertise, and ongoing learning. Their digital products serve millions of users globally. Role overview This Data Engineer role is located in Toronto. The position focuses on designing, building, and maintaining scalable data platforms and pipelines. Experience with Azure Fabric, Databricks, and Snowflake is required. Regular collaboration with analysts, data scientists, and other engineers ensures that data solutions remain reliable, secure, and efficient. Main responsibilities Design and manage data pipelines and architecture to support business needs. Build solutions using Azure Fabric, Databricks, and Snowflake. Improve data workflows to enhance reliability, scalability, and performance. Work closely with internal stakeholders to understand data requirements and deliver tailored solutions. Maintain data security and ensure compliance with relevant standards. Handle data modeling, extraction, transformation, and loading (ETL/ELT) tasks. Suggest new methods to improve data quality and analytics.

We are seeking a talented and enthusiastic Data Engineer who thrives on the challenge of transforming raw data into actionable insights. If you are passionate about analytics and eager to contribute to the development and scaling of data capabilities within organizations, this role is for you. You will work closely with fellow data scientists to create robust data tools and pipelines that enhance data accessibility and usability. Your expertise in designing ETL workflows and data schemas will be crucial, and your critical thinking and problem-solving abilities will help drive our projects forward.

As the Manager of Data Infrastructure at mqreferrals, you will be pivotal in shaping our data engineering landscape, directly reporting to the Director of Data Engineering. In this dynamic leadership role, you will oversee a dedicated team of 5-6 engineers tasked with managing critical data platforms that underpin our AI and analytics initiatives. This hands-on position blends technical expertise with effective people management, where you will mentor your team, facilitate agile delivery processes, and integrate product-oriented thinking into our infrastructure approach. Your leadership will be crucial in executing our data strategy and ensuring the operational excellence of platforms that handle billions of transactions each month.We embrace a Flexible First work culture, allowing this role to be performed remotely from anywhere in Ontario and British Columbia, Canada, with quarterly travel to the United States required. Join us on this exciting journey!

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.

Location: Toronto, Canada (Work Anywhere: remote or office-based) About Veeva Systems Veeva Systems develops industry cloud solutions that help speed the delivery of therapies to patients. The company recently surpassed $3 billion in revenue and continues to expand. In 2021, Veeva became a public benefit corporation (PBC), committed to serving customers, employees, society, and investors in balance. Core values include Do the Right Thing, Customer Success, Employee Success, and Speed. Veeva supports flexibility through its Work Anywhere approach, giving employees the choice to work remotely or from an office. Learn more about Veeva's impact on the life sciences industry in this Forbes feature. Role Overview The Data Engineer role at Veeva OpenData centers on delivering real-time reference data for the healthcare ecosystem. This work supports commercial sales execution, compliance, and analytics for life sciences customers. The position involves collaborating with an engineering team to design, build, and deploy impactful features. Work happens within an Agile framework.