Data Engineer at jliconsulting | Vaughan

We are seeking a skilled and dedicated Data Engineer to join our innovative team at jliconsulting. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and architecture to support our business goals. If you have a passion for data and want to work in a dynamic environment, we want to hear from you!

Join MEDFAR Clinical Solutions as a Senior Data Transfer Developer, where you will architect, build, and enhance innovative data transfer systems and interfaces that guarantee secure, precise, and efficient data exchange within our healthcare ecosystem. In this pivotal role, you will engage with intricate healthcare data, influence architectural decisions, and advocate for best practices to ensure the scalability, reliability, and performance of our integration solutions.Key ResponsibilitiesEstablish the architecture and strategy for the evolution of data transfer tools and integration platforms.Conduct analysis, design, and development planning of data transfer applications and interfaces.Create maintainable, reusable, and scalable solutions optimized for performance and resource availability.Facilitate the efficient processing of complex healthcare data across various systems.Collaborate with internal teams and stakeholders to deliver integration solutions that align with business requirements.Monitor, troubleshoot, and enhance data transfer processes to ensure reliability and optimal performance.Promote best practices, coding standards, and modern technologies within the team.Mentor team members to foster continuous improvement in technical quality.Communicate technical challenges, risks, and progress effectively to stakeholders.

About the RoleJoin our innovative team at Cosmo as a Data Analyst, where you will play a pivotal role in leveraging data to enhance our product offerings, customer experience, and operational efficiency. This position involves close collaboration with diverse teams to establish robust analytics frameworks, generate actionable insights, and steer strategic initiatives through data-driven decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to identify data needs and create comprehensive dashboards, curated datasets, and reporting tools essential for daily operations.Design and maintain analytical data models that facilitate scalable and reliable data analysis.Provide insights into customer behavior, product performance, and subscription metrics to inform decisions across Product, Marketing, and Operations.Create and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate outputs into operational dashboards.Automate regular analyses, segmentation strategies, and reporting processes to enhance efficiency and reduce manual workloads.Lead initiatives for data unification, including evaluating data sources, strategizing integration, and designing canonical datasets.Contribute to best practices in analytics and data engineering, focusing on documentation, validation, and data quality standards.

A Few Notes:Thriving B2B SaaS organization with teams operating across North America.This position offers a predominantly remote work arrangement based in Toronto, with monthly team meetings.Candidates must possess legal authorization to work in Canada; visa sponsorship is not an option.We are expanding our Engineering team and seeking a Full Stack Developer skilled in Python and React to join our applications team.We welcome applicants with experience levels ranging from Upper Intermediate to Staff Engineer.This role encompasses full-stack responsibilities, but we are open to candidates who have a stronger focus on back-end development.About Us:We are recognized as a leading retail analytics platform, empowering marketing teams and brands to gain insights from their retail data and execute targeted media campaigns without needing coding skills. Our mission is to enhance our clients' understanding of their customers while maximizing the return on their marketing investments. Notably, one of our significant clients is Home Depot.Our Technology Stack: Python, Django, React, Typescript, Azure.How We Work:We foster a collaborative environment with an array of exciting and complex projects.We support the exploration of new technologies, reflecting our identity as a modern tech company.Our focus is on sustainable development; we are already profitable and prioritize quality.With a remote work setup, we convene once a month in Toronto and hold biannual company retreats.About You:We are on the lookout for a remarkable Senior/Staff/Lead Full Stack Engineer eager to make a significant impact on our applications team.Key Responsibilities:Full Stack Development: Manage end-to-end client feature development, from initial design to final delivery.Integration Projects: Collaborate with industry leaders like Meta, TikTok, and Snapchat within the ad tech domain.User Interface Enhancements: Optimize the UI experience for our enterprise clients.Qualifications:Over 6 years of full-stack development experience in creating enterprise-level B2B/B2C SaaS applications.

About SecurityScorecard: SecurityScorecard stands as the world leader in cybersecurity ratings, continuously assessing over 12 million companies across 64 countries. Established in 2013 by acclaimed security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh, and backed by prestigious investors, our patented rating technology is leveraged by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting. Our mission is to enhance the resilience of organizations by enabling them to identify and mitigate cybersecurity risks effortlessly across their digital landscape. With our headquarters in New York City, we are proud to have our culture recognized by Inc Magazine as a "Best Workplace," by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two consecutive years. Recently, SecurityScorecard was featured on Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and was awarded the Achievers 50 Most Engaged Workplaces in 2023, recognizing our commitment to employee engagement. We are honored to be funded by renowned investors, including Silver Lake Waterman, Moody’s, Sequoia Capital, GV, and Riverwood Capital. About the Team: Join our dynamic and expanding Data Engineering team, which is central to our operations. The ratings platform at SecurityScorecard processes vast amounts of data, making the reliability, performance, and integrity of our data pipelines critical to the quality of our product. Our team emphasizes collaboration, shared ownership, and engineering excellence. You will be engaged hands-on throughout the entire software development lifecycle, working with a global team that values both technical depth and effective communication. Explore our tech blog and let us know if you could be our next star.

WHO WE ARE?Launch Potato is an innovative digital media enterprise that engages over 30 million monthly visitors through our brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.We are known as The Discovery and Conversion Company, committed to linking consumers with top brands through data-driven content and technology.With our headquarters located in South Florida, we boast a remote-first team that spans over 15 countries, fostering a high-growth, high-performance culture rooted in speed, accountability, and measurable success.WHY JOIN US?At Launch Potato, you will have the opportunity to fast-track your career by owning outcomes, moving rapidly, and making a significant impact alongside a global network of high performers.

Engineering Manager - Data & AIAbout UsProcurify is at the forefront of Intelligent Spend Management, dedicated to providing organizations with unparalleled visibility and control over their business expenditures. Our cutting-edge platform integrates data from procurement, accounts payable, and expenses, enabling finance and operations teams to capture, analyze, and optimize every dollar spent. As a remote-first company, we are backed by top investors, empowering mid-market organizations to innovate their spend management practices.The OpportunityWe are seeking an Engineering Manager to spearhead our Data/AI team, which lies at the heart of our platform's intelligence. This pivotal team is responsible for a suite of products that utilize Machine Learning and AI, assisting our clients in streamlining their Intake to Pay workflows while saving time and enhancing decision-making.In this role, you will oversee a team of AI and Data Engineers, acting as a technical leader within the business domain. Collaborating closely with the Director of Platform Engineering, you will cultivate technical leadership and foster a highly engaged, high-performing team. You appreciate accountability and possess the ability to merge strategic foresight with pragmatic execution.What You'll DoLead & Mentor: Guide a team of 6-8 engineers, offering coaching on technical excellence, promoting individual career advancement, and fostering a high-performance culture centered on trust and collaboration.Drive Velocity: Inspire your team to consistently meet ambitious objectives. You will establish success metrics, monitor progress transparently, and communicate effectively with stakeholders to ensure alignment and celebrate achievements.Own a Complex Domain: Direct the technical strategy and long-term vision for the Data/AI team. Design a scalable data architecture while ensuring that all designs are architecturally robust, scalable, secure, and adhere to industry best practices.Balance & Strategize: Strategically manage the repayment of technical debt while facilitating new feature development. You will be instrumental in enhancing both developer and product velocity for long-term success.Evolve our Architecture: Lead your team in the design, creation, evolution, and maintenance of scalable and efficient data pipelines, model deployment, and monitoring solutions.

Who You Are:Adaptable and Proactive Problem Solver. You excel in dynamic environments where data is unstructured, and solutions are not immediately apparent. You possess the ability to define problems, make logical assumptions, and adapt swiftly as challenges arise.Systematic Thinker. Your focus extends beyond just models; you consider the entire lifecycle of data, including its generation, movement, deployment of models, and the impact of outputs on product performance. You prioritize accuracy while also valuing latency, reliability, and transparency.Collaborative Team Player. You thrive in teamwork, effectively liaising with product, firmware, backend, and design teams to bridge business objectives, technical constraints, and implementation challenges. Your communication is clear, and you value collective success over individual accolades.What We Need:End-to-End Ownership of Data and ML Systems. You will be responsible for designing, building, and maintaining the data pipelines and machine learning models that drive our core product functionalities.

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 a crucial role in enhancing our data processing capabilities.

Be Part of the Financial Revolution.At Robinhood, we are on a mission to make finance accessible to everyone. With an anticipated transfer of $124 trillion in assets passing to younger generations over the next two decades, we are positioned at the forefront of a transformative shift. If you are eager to play a pivotal role in this historical moment, we want to hear from you.Role OverviewAs a vital member of Robinhood’s Analytics Engineering team within our Data Science division, you will help shape our decision-making framework. Your contributions will include the design and implementation of data products that are essential for product innovation, regulatory compliance, and operational effectiveness. Our goal is straightforward yet ambitious: to empower each team at Robinhood with reliable, scalable, and self-service analytics, enabling swift and informed decision-making.Working at the crossroads of data engineering, data science, and product strategy, you will collaborate with product managers, engineers, and data scientists to turn raw data into actionable insights. In your role as an Analytics Engineer, you will be instrumental in architecting Robinhood’s data infrastructure, overseeing the creation of high-performance ETL pipelines, data models, and analytical tools that drive critical business decisions.Your impact will extend beyond just building systems; you will help establish metrics, shape datasets, and set the benchmarks for analytics excellence across the organization, influencing our growth trajectory.This position is based in our Toronto office, with in-person collaboration expected at least three days per week.

About Tailscale Tailscale is revolutionizing the Internet by providing innovative software that seamlessly connects individuals and their devices securely, regardless of their location. From individual enthusiasts to large corporations, teams of all sizes rely on Tailscale daily to safeguard their networks and facilitate access to internal tools. We're committed to creating a simplified, sensible, and secure future for the Internet, reminiscent of its earlier days. Established in 2019 and operating fully remotely, we are supported by notable investors such as Accel, CRV, Insight, Heavybit, and Uncork Capital.Job DescriptionWe are seeking a proactive Analytics Engineer who excels in dynamic, complex environments and possesses a knack for clarifying ambiguity. You will become a vital member of our expanding data team, tackling various high-impact challenges across billing, finance, product, go-to-market (GTM), and business operations.If you are someone who poses insightful questions, delves deep to comprehend operational mechanics, and enjoys converting vaguely defined user issues into efficient, scalable data solutions, we want to hear from you. You will not shy away from questioning norms, re-evaluating processes, or navigating intricate systems. Your work will enhance team performance through pristine models, automated workflows, and dependable data.This position is ideal for an individual with substantial experience in delivering production-grade analytics engineering work, eager to expand their responsibilities and influence as our team grows.

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 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.

Join the dynamic team at Achievers as a Data Scientist, where you'll leverage your analytical skills to drive data-informed decisions and enhance employee engagement. You will be responsible for analyzing complex data sets, building predictive models, and providing actionable insights that will help shape our strategic initiatives.

Join reddit as a Staff Data Scientist specializing in our advertising solutions. In this pivotal role, you will leverage advanced analytical skills and data science techniques to drive impactful decisions and optimize the performance of our ad products. Collaborate with cross-functional teams to analyze user behavior and uncover insights that enhance advertising effectiveness.

Join KABS as an Environmental Data Analysis Technician, where you will play a crucial role in analyzing environmental data to support sustainable practices. You will work closely with a team of experts to collect, process, and interpret data related to environmental conditions. Your insights will be instrumental in making data-driven decisions that positively impact our ecological footprint.This position offers a dynamic work environment where innovation and collaboration are highly valued. You will have the opportunity to engage in various projects that enhance environmental quality and contribute to our mission of promoting sustainability.

Tiger Analytics seeks a Senior Manager for Business Intelligence Consulting with a focus on life sciences and pharmaceutical clients. This is a remote role based in Toronto, Ontario, Canada. Role overview This position centers on leading teams and delivering analytics-driven consulting projects for organizations in the life sciences and pharma industries. The Senior Manager guides projects from initial planning to final execution, ensuring deliverables meet quality standards and deadlines. What you will do Direct a team of analysts and consultants working on client projects within life sciences and pharma. Oversee all stages of project delivery, from planning through execution, with a focus on quality and timeliness. Collaborate with cross-functional groups to coordinate project efforts and encourage knowledge sharing. Apply data analytics best practices to help clients make informed decisions and streamline operations. Engage with stakeholders to understand their business needs and design solutions for complex challenges.

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 Acquird as a Senior/Staff Python Developer and be a part of our dynamic team in Toronto! We are looking for innovative minds who thrive in a collaborative environment to drive our software development projects forward. You will be responsible for designing, implementing, and maintaining high-quality software solutions using Python. Your expertise will play a key role in shaping the direction of our products and ensuring optimal performance.

Jobgether seeks a Freelance DevOps Engineer (Automation Systems) to support the development and upkeep of infrastructure for automated workflows. This is a remote contract position for candidates located in Canada. Key Responsibilities Design and manage infrastructure that powers large-scale automation processes Improve system performance, focusing on high availability and reliability Develop scalable architectures tailored to automation systems Implement monitoring tools and resolve issues in high-load environments Collaborate with AI-driven agents to keep systems stable and observable Take a hands-on role in infrastructure management and automation enhancements Requirements Proven experience in DevOps, particularly with automation systems Strong track record in building and maintaining resilient, scalable infrastructure Comfortable working in demanding, high-availability settings Ability to work remotely with a team focused on AI-human workflow collaboration Residence in Canada