Senior Data Engineer

About TripleLiftAt TripleLift, we are redefining the digital advertising landscape through visually appealing creative, reputable publishers, actionable insights, and intelligent targeting. With over a trillion ad transactions monthly, we empower publishers and platforms to effectively monetize their offerings. Our cutting-edge technology is the preferred choice for top global brands seeking to connect with audiences across various formats, including online video, connected television, display, and native ads. Clients turn to us for our innovative solutions, premium ad formats, and a dedicated team of experts committed to maximizing their advertising performance.As a member of the Vista Equity Partners portfolio, we proudly hold NMSDC certification, meet diverse spending goals, and are devoted to promoting economic inclusion. Discover more about how TripleLift enhances the programmatic ecosystem at triplelift.com.RoleAs a prominent player in the rapidly evolving AdTech Supply Side Platform, TripleLift is on the lookout for an accomplished Data Engineering Manager to lead and expand our Data Engineering team. This team is responsible for the backbone data infrastructure that powers our AdTech Exchange. You will manage the complete lifecycle of our data pipelines and platforms, guaranteeing the efficient ingestion, storage, and retrieval of event data from diverse sources. In this dynamic role, you'll mentor and lead a talented group of data engineers, identify hiring needs to scale the team, and collaborate with stakeholders across Product, Engineering, Data Science, and Commercial teams. Your leadership will be crucial in cultivating a culture of innovation and continuous improvement, driving the team towards exceptional standards in data engineering and ensuring robust delivery performance.ResponsibilitiesLead, mentor, and nurture a high-performing, geographically distributed team of data engineers, promoting a collaborative, inclusive, and growth-oriented culture while identifying talent needs and recruiting top candidates to enhance the team.Oversee the design, implementation, and maintenance of scalable, low-latency data pipelines and platforms that process hundreds of billions of daily events, ensuring optimal ingestion, processing, and storage of high-volume, high-throughput event data.Manage data platforms, including data lakes (S3), warehouses (Snowflake), and real-time...

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!

As the Manager of Data Infrastructure, you will report directly to the Director of Data Engineering and spearhead a team of 5-6 engineers responsible for operating essential data platforms that fuel our AI and analytics initiatives. This newly established, hands-on leadership position blends technical expertise with personnel management, requiring you to mentor your team, promote agile methodologies, and incorporate product-focused thinking into infrastructure management. You will implement our data strategy while ensuring operational excellence across platforms that handle billions of transactions monthly. We embrace a Flexible First work model, allowing this role to be performed remotely within the provinces of Ontario and British Columbia. Quarterly travel to the United States will be necessary. We are excited for you to potentially join our team!

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.

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

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.

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.

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.

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 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 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 Hootsuite as a Data Engineering Intern/Co-op for Summer 2026 and immerse yourself in the dynamic world of data analytics and engineering. Work alongside a talented team, gaining hands-on experience in building data pipelines, optimizing data processes, and leveraging the latest technologies in data management. This internship is a fantastic opportunity to apply your skills in a real-world environment and make a significant impact on our data-driven 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.

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 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.

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.

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.