Data Engineer – Platform at Spotify | Toronto

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business …

Canada | Remote opportunities available | ⏰ Operating in EST timezone Project ContextAs a key member of the client’s internal team spanning Canada, the USA, and Europe, you will collaborate extensively with global vendor teams. Your primary goal will be to deliver technical support, code validation, and deployment expertise, ensuring the success of this pivotal data initiative. Key ResponsibilitiesEvaluate and validate data engineering designs.Conduct code reviews to uphold technical quality standards.Assist in the deployment of solutions developed in partnership with vendor teams.Coordinate effectively with international teams across diverse time zones.Tech StackCloud: AWSData Warehouse: SnowflakeETL / Integration: Informatica IICSData Transformation: DBTWorkflow Orchestration: AirflowProfileDemonstrated experience as a Data Engineer (mid-level or senior).In-depth knowledge of AWS, Snowflake, DBT, Airflow, and Informatica IICS.Experience in the pharmaceutical, vaccines, sales, contracting, or claims domains is advantageous.Willingness to work during EST hours with some flexibility for international collaboration.What We OfferJoin Act Digital, a renowned international consulting firm with a robust presence in Canada.Engage in a high-impact healthcare project with global visibility.Thrive in a multicultural and collaborative environment.Long-term assignment with remote work options.

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.

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.

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.

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.

At Gusto, we are driven by a mission to empower the small business economy. We manage the complexities of payroll, health insurance, 401(k)s, and HR, allowing business owners to concentrate on what they do best: their craft and their customers.With teams based in Denver, San Francisco, and New York, we proudly support over 500,000 small businesses across the nation. We are committed to building a workplace that mirrors the diverse communities we serve.All full-time employees enjoy competitive base salaries, comprehensive benefits, and equity in the form of RSUs, as we believe that those who contribute to Gusto’s growth should also share in its success. Compensation packages are tailored to role, level, and location. Find out more about our Total Rewards philosophy.AI technology plays a vital role at Gusto. We encourage all team members to engage actively with AI tools relevant to their roles and to enhance their proficiency as technology evolves. Requirements related to AI experience will be evaluated during the interview process.The Data Engineering team is responsible for creating tools and systems that ensure Gusto's data is consistent, user-friendly, and actionable. Our mission is to empower teams to make data-driven decisions and deliver tailored experiences to our customers.We are in search of a Senior Data Engineer who can navigate loosely defined problems and drive them from conception to execution—this includes framing the issues, aligning stakeholders, and designing, building, and deploying robust data solutions. You will collaborate closely with analytics, product, and engineering teams to implement data strategies that yield significant business and customer outcomes.

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.

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 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 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.

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.

At RAVL, we empower technologists to elevate their careers.Our mission is to seamlessly integrate strategy with execution, fostering deep connections with our team members and clients alike. We gauge our success by the enduring impact we create, focusing on delivering real, sustainable business outcomes.We are dedicated to leaving our clients in a better position than we found them, while cultivating an environment where our team members take pride in Building. Better.As a Data Engineer at RAVL, you will be responsible for designing, constructing, and managing the data pipelines and platforms that facilitate informed decision-making in contemporary organizations. Your role will require a blend of curiosity, technical expertise, and a commitment to delivery — transforming raw data into dependable, high-quality resources that enable insights, analytics, and machine learning. You will engage with various cloud environments, architecting data systems that are resilient, secure, and designed for scalability.

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.