Senior Data Engineer

Waterloo, ON
131.385-177.755 $ par an
Permanent
Temps-plein

Il y a 2 mois

Role Overview:As a Data Engineer at McAfee, you will be a key member of our data innovation team, responsible for designing, building, and overseeing the deployment and operation of technology architecture, solutions, and software that unlock the full potential of our data assets. This role combines hands-on technical implementation with strategic problem-solving to drive data-driven innovation across the organization.You will establish and build processes and structures to capture, manage, store, and utilize structured and unstructured data from diverse internal and external sources, creating scalable solutions that span from cloud-based architectures to traditional databases. Working at the intersection of data engineering, data science, and data quality, you will leverage artificial intelligence, machine learning, and big-data techniques to transform raw data into actionable insights that drive business value.This is a collaborative role where you will partner closely with business stakeholders, data scientists and product teams to solve complex problems, enable company-wide data solutions, and establish the foundation for data-driven decision making across McAfee.This is a Hybrid Position located in either Waterloo or Toronto, Canada. We are only considering candidates within a commutable distance to either location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work from your home office.About the Role:Partner with business stakeholders to understand data requirements and translate them into scalable technical solutions that drive operational efficiency and strategic insightsLead data innovation initiatives by identifying opportunities to leverage data assets for new business capabilities and competitive advantagesReview internal and external business and product requirements for data operations and recommend strategic changes and upgrades to systems and storageCollaborate with data scientists to enable advanced analytics, predictive modeling, and machine learning initiatives that solve complex business problemsWork with Professional Services teams on client-focused data solutions, ensuring alignment with business objectives and customer needsDesign and oversee the deployment of comprehensive data architecture that captures, manages, and stores structured and unstructured data from multiple internal and external sourcesBuild resilient ETL/ELT pipelines that channel data from multiple inputs, route appropriately, and store using cloud structures, local databases, and other applicable storage formsEstablish processes and structures based on business and technical requirements to ensure optimal data flow across systemsCreate and maintain well-documented data services and interfaces for efficient data access across the organizationDevelop company-wide, web-enabled solutions that democratize data access and empower self-service analyticsDevelop technical tools and programming leveraging artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data on an automated basisImplement comprehensive data quality frameworks including validation checks, monitoring, and automated recovery strategies to maintain data accuracy, completeness, and freshnessApply business logic to cleanse, enrich, and structure raw data, ensuring consistency and quality across domainsLeverage Model Context Protocol (MCP) to connect with top enterprise applications, enabling seamless automation of data flows and improving operational efficiencyUtilize Copilot and Anthropic models to accelerate development, automate documentation, and enhance code quality and review processesCreate and establish design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirementsEnsure secure, scalable, and auditable data ingestion processes, with appropriate handling of PII and compliance requirementsUphold SDLC best practices across development and delivery stages to ensure reliability, maintainability, and scalabilityMaintain and defend data structures and integrity on an automated basis, implementing proactive monitoring and alerting systemsTroubleshoot pipeline issues and collaborate with platform teams to optimize performance and recovery strategiesParticipate in on-call rotations to ensure 24/7 reliability of critical data systemsContinuously evaluate and implement new technologies and methodologies to improve data engineering capabilitiesMentor junior team members and contribute to the growth of the data engineering practiceAbout you:10+ years of hands-on experience in developing ETL/ELT pipelines across varied data sources, with demonstrated ability to work across the full spectrum of data engineering challengesExperience with Copilot and Claude Anthropic models to enhance development speed, code quality, and documentationStrong programming skills in languages such as Python, Scala, or Java, with ability to write production-quality codeExperience with modern data platforms and tools (e.g., Snowflake, Databricks, Apache Spark, Kafka, Airflow)Practical knowledge of Model Context Protocol (MCP) to connect enterprise applications and automate data workflowsExperience with cloud platforms (AWS, Azure, GCP) and their native data servicesKnowledge of containerization and orchestration technologies (Docker, Kubernetes)Strong expertise in data integration, transformation, and curation with a focus on quality and consistencyExperience with real-time data processing and streaming architecturesBackground in data science or analytics, with ability to collaborate effectively with data scientistsExperience in client-facing or Professional Services rolesFamiliarity with DataOps and MLOps practicesA mindset focused on operational efficiency, automation, and continuous improvementStrong business acumen with ability to translate technical capabilities into business valueCommitment to SDLC best practices and structured development processesExcellent communication and collaboration skills, with ability to work effectively with both technical and non-technical stakeholdersProactive approach to problem-solving with strong analytical and critical thinking skillsPassion for innovation and staying current with emerging technologies and industry trendsProven experience with both structured and unstructured data, including design and implementation of solutions that leverage both traditional databases and modern cloud architecturesExperience managing sensitive data, including PII, with attention to compliance and governance requirementsDemonstrated ability to work with artificial intelligence, machine learning, and big-data techniquesSolid understanding of data modeling, data warehousing concepts, and dimensional modeling#LI-HybridCompany OverviewMcAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.Company Benefits and Perks:We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

Bonus Program
Pension and Retirement Plans
Medical, Dental and Vision Coverage
Paid Time Off
Paid Parental Leave
Support for Community Involvement

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.The starting pay range for this position is $131,385.00-$177,755.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.

McAfee

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