Data Engineer at Merge API Integration Sandbox | Toronto

Join our innovative team at Merge API Integration Sandbox as a Data Engineer! You will play a crucial role in designing and implementing data solutions that drive our business forward. Your expertise will help us optimize our data processes and enhance the overall data architecture.

We are seeking a talented Full-Stack Engineer to join our dynamic team at Merge API Integration Sandbox. In this role, you will leverage your expertise in both front-end and back-end development to create innovative solutions that enhance our platform's capabilities.As a Full-Stack Engineer, you will collaborate closely with cross-functional teams to design and implement user-friendly applications, ensuring the highest performance and responsiveness to requests from the front-end.

We are seeking a motivated and results-driven Account Executive to join our dynamic sales team. In this role, you will be responsible for building and maintaining strong relationships with clients, understanding their needs, and providing tailored solutions to help their businesses thrive.Your expertise in sales strategies and customer engagement will play a crucial role in driving revenue growth and expanding our market presence.

Join Our Team as an Account Executive!Are you a driven and passionate individual looking to make an impact in a dynamic sales environment? As an Account Executive at Merge API Integration Sandbox, you will play a key role in our sales team, connecting with clients and driving growth.Responsibilities:Engage with clients to understand their needs and provide tailored solutions.Manage multiple projects efficiently in a fast-paced setting.Utilize Microsoft Dynamics AX and other accounting software to streamline processes.Present ideas and information clearly and concisely.

Join Stripe as a Backend/API Engineer specializing in Billing, where you will play a crucial role in enhancing our platform's capabilities. You will be responsible for designing and developing RESTful APIs that integrate seamlessly with various services, ensuring robust performance and scalability. Collaborate with cross-functional teams to create innovative solutions that enhance user experience and drive business growth.

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.

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.

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.

Join Our Team at ShyftLabs At ShyftLabs, we are passionate about harnessing the power of data. Since our inception in 2020, we have empowered Fortune 500 companies to achieve unprecedented growth through innovative digital solutions that redefine industries and deliver tangible business results. As we continue to expand, we are on the lookout for enthusiastic problem-solvers ready to transform visionary ideas into impactful realities. Your Role as a Data Engineer We are currently seeking a talented Data Engineer to play a pivotal role in the design, development, and optimization of big data solutions utilizing the Databricks Unified Analytics Platform. This position demands a robust skillset in Apache Spark, SQL, Python, and familiarity with cloud platforms such as AWS, Azure, or GCP. The ideal candidate will collaborate effectively with cross-functional teams to foster data-driven insights and architect scalable, high-performance data systems.

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.

About CMiCLocated in the heart of Toronto, CMiC stands as a leading software company dedicated to revolutionizing the construction industry. Our innovative platform empowers construction firms to efficiently manage their vital workflows. Clients can choose between our Software as a Service (SaaS) or Private Hosted solutions, featuring specialized modules for comprehensive management of Financials, Payroll, Project Management, and Budgeting. We proudly hold a significant market presence in North America, with rapid expansion into international markets including Europe, Southeast Asia, and the Middle East.Position OverviewWe are seeking a talented Software Engineer to join our dynamic team, focusing on the development of robust RESTful APIs that will support our front-end applications. In this role, you will enhance existing APIs and design new ones utilizing Oracle ADF BC REST and Jersey frameworks. Additionally, you will engage in database-level development to ensure seamless API functionality. Your responsibilities will include:Designing, building, and maintaining high-quality, reusable, and secure code.Enhancing tools and processes related to API development.Creating comprehensive documentation for APIs, tools, and workflows.Conducting code reviews and providing constructive feedback.Diagnosing problems and proposing effective solutions.Key Information:The expected salary range for this role is between $70,000 and $115,000 annually, based on experience level.This position is an immediate opening.We prioritize a manual review process and do not utilize AI for applicant screening.

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.

About Alloy.ai Alloy.ai works with consumer goods companies to help them manage the complex balance of supply and demand. Our partners make the products people use, wear, and enjoy every day. We focus on solving challenges around shifting consumer habits, complicated supply chains, outdated data standards, and manual workflows. We are a growing, well-funded startup with a global reach. Our team includes people from successful startups, leading tech firms, and Fortune 100 companies. We value individual ownership, continuous improvement, meaningful work, open communication, and strong support for one another. We welcome candidates from all backgrounds. Alloy.ai is committed to building an inclusive culture and celebrating diversity. Role Overview: Data Integration Specialist (Contract) This contract position joins our implementation team in Toronto, ON. Alloy.ai’s network-based data platform is a core asset. We help manufacturers quickly integrate data from their trading partners, retailers, suppliers, distributors, and logistics providers, faster than most competitors. Our infrastructure supports over 400 active integrations, many of which are reusable across customers. The implementation team builds and deploys client data integrations, following best practices throughout each project. In this role, you will work closely with integration specialists, project managers, and engineers. What You Will Do Support project teams in delivering retailer data integrations for clients Develop data mapping procedures for new retailer data feeds, following established guidelines Ensure integrations are delivered on schedule Create data transformations for our continuous data pipeline Gain exposure to the data operations of major retailers and learn about the business processes behind well-known brands What We Look For Curiosity and creativity in approaching new problems Strong analytical and problem-solving abilities Clear and effective communication skills

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.

Join Our TeamAbout StripeStripe is a cutting-edge financial infrastructure platform that empowers businesses of all sizes. From global corporations to innovative startups, millions of companies rely on Stripe to streamline payment processing, enhance revenue growth, and seize new business opportunities. Our mission? To amplify the GDP of the internet, paving the way for economic accessibility worldwide. Now is your chance to engage in transformative work that impacts the global economy.About Our TeamThe Professional Services team at Stripe collaborates with our most strategic clients. In this role, you will engage in high-impact projects, offering technical expertise to elevate our customers' understanding, solution design, and integrations with Stripe. You will lead strategic discussions and craft plans that revolutionize payment processes and financial infrastructure for top-tier enterprises.Your RoleKey ResponsibilitiesWork closely with Sales, Solution Architecture, and Implementation teams to enhance client engagement, achieve customer success, and boost revenue for the Professional Services group.Oversee end-to-end integration engineering, from conceptual architecture to code implementation.Articulate complex technical concepts and explain Stripe’s functionalities, covering product features and API architecture.Inform and educate users and the developer community on Stripe's value proposition, best practices, and the latest technical advancements.Act as the primary ongoing technical liaison for our largest clients and partners’ technical teams.Stay updated on new Stripe technologies and software products, showcasing technical leadership through whitepapers, conferences, and industry events.Provide insightful recommendations and feedback to product and engineering teams to drive continuous improvement.

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.