Role Description Our client is looking for a Data Engineer to join our team and bring the analytics practice to the next level. They are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who is able to find out-of-the-box solutions to solve complex problems. In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to set data as a strategic advantage for the manufacturing client. Responsibilities - Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions - Coordinate with multiple development teams to achieve delivery objectives - Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions - Development and support of real-time data ingestion processes from various data sources - Development and support of data models optimized for business intelligence usage - Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others - Adhering to industry standards and laws such as GDPR and SOX - Be a leader in best-practices definition and creative thinking Qualifications - Master Degree in Computer Science, Business Intelligence or equivalent - Solid and demonstrated experience on following technologies: - Snowflake - DBT - Microsoft SQL Server - Power BI - Git - Fluent in various programming languages such as: - SQL - Python - Understands and puts into practice data modeling, design and development of solid ETL/ELT data pipelines - Fluent in writing, executing and optimizing complex SQL queries - Experience implementing API Service architectures (REST) - Develop clean and maintainable code in a CI-CD Environment - Experience in using cloud BI technologies such as Azure or similar - Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements - Experience in data profiling - Experience in working within an agile team to build big data / analytics solutions - Strong interpersonal relations, motivated and loves to work on multiple challenging projects - Strong communication skills, both speaking or writing - Fluent in English. French or Portuguese is a great asset - Open-minded and able to adapt to new ways of working (data vault, event-driven architecture, unstructured data, self-service analytics, etc.) - Well organized and able to self-prioritize, sometimes with conflictual deadlines - Continuously seeks for improvements and craves to put hands on new technologies

Role Description We are looking for a curious, driven, and innovative Senior Data Engineer who proactively takes initiative to solve complex problems and lead the development of data assets that elevate our marketing analytics capabilities. - Architect & Scale Data Pipelines: - Design, build, and maintain robust, scalable ingestion pipelines from a diverse suite of marketing sources (APIs, SFTPs, webhooks etc.), ensuring high availability and data integrity. - Optimize Core Data Assets: - Develop, maintain, and tune high-performance dbt models to transform raw marketing data into production-ready analytic assets for cross-functional reporting. - Drive Infrastructure Efficiency: - Audit and refactor existing data infrastructure to uncover cost efficiencies and optimize compute performance across marketing data sets. - Accelerate AI Readiness: - Develop and scale semantic layers and data models specifically tailored to fuel downstream AI use cases and predictive marketing analytics. - Champion Governance & Literacy: - Author comprehensive data documentation, lineage maps, and artifacts to elevate data literacy and foster a culture of self-service across the organization. - Lead Cross-Functional Partnerships: - Act as the primary engineering partner to the Marketing Analytics team, translating complex business requirements into high-impact, performant data products. - Bridge IT & Engineering: - Collaborate closely with IT and core Data Engineering teams to align architectural standards, bridge capability gaps, and foster a cohesive, modern data ecosystem. - Serve as a Subject Matter Expert: - Act as a key technical resource for data engineering best practices, scalable architectural design, and marketing data usage. - Drive Technical Excellence & Mentorship: - Act as a technical mentor to elevate the team's engineering capabilities, driving continuous skill development and championing modern best practices across analytics and engineering cohorts. Qualifications - B.S. degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Economics, Operations Research, Engineering). - Proven ability to write clean, modular, testable, and maintainable code. - Strong in Python and SQL for building data pipelines, automation, model integrations, analytical workflows, and production services. - Hands-on experience managing and processing large-scale digital marketing datasets efficiently across cloud infrastructure. - Experience implementing Medallion architecture and a solid understanding of data warehouse design and schema structuring. - Expert-level knowledge of dbt (Core) for modular data modeling. - Proficient with Git workflows and integrating pipelines into automated CI/CD deployment workflows. Requirements - Intellectual curiosity and a desire to deepen knowledge and continue learning. - Take responsibility to proactively advance projects and contribute to the organization. - Initiative to understand the full scope of business problems and propose solutions. - Ability to explain technical concepts clearly to technical and non-technical audiences. - Work effectively cross-functionally with data scientists, data engineers, analysts, application engineers, product partners, and business stakeholders. Benefits - Ski/Mountain Perks: Free passes for employees, employee discounted lift tickets for friends and family, and free ski lessons. - Employee discounts on lodging, food, gear, and mountain shuttles. - 401(k) Retirement Plan. - Employee Assistance Program. - Excellent training and professional development. - Health Insurance; Medical, Dental, and Vision Insurance plans (for eligible seasonal employees after working 500 hours). - Free ski passes for dependents. - Critical Illness and Accident plans. - Remote work options from various U.S. states and British Columbia.

Role Description As a Data Modeler, you will be responsible for working closely with key business representatives, data owners, end users, application designers, and data architects to model both current and new data. Your day-to-day activities will involve: - Analyzing data requirements - Designing data structures - Ensuring alignment with business needs - Being a subject matter expert - Collaborating effectively with and managing the team - Engaging with multiple teams and contributing to key decisions - Providing solutions to problems that impact multiple teams Qualifications - Master proficiency in Data Modeling Techniques and Methodologies, specifically Medallion architecture - Financial Industry experience is highly desirable - Proficient utilization of Erwin or similar data modeling tool is mandatory - Master proficiency in AI & Data Processes, Data Quality Tools & Methods, Data Taxonomy, and AI & Data Strategy is suggested Requirements - Develop and refine data models that support business objectives and enhance data usability across the organization - Collaborate with cross-functional teams to ensure data architecture aligns with strategic goals and operational requirements - Analyze complex data sets to identify patterns and opportunities for improving data management and quality - Support less experienced colleagues by sharing expertise and providing guidance on data modeling best practices - Contribute to the continuous improvement of data governance and data strategy initiatives to elevate overall data quality Benefits - Career development according to your profile and interests - Work in one of the best companies and feel proud - Access to an innovative methodology and tools - Direct contact with experts worldwide - Use of work schemes and cutting-edge technologies - Constant training - Work environment based on teamwork and collaboration - Participation in International Projects

Role Description Are you passionate about building robust data infrastructure and enabling innovation through engineering excellence? As our Data Engineer, your goal is to own and evolve the foundation of our data infrastructure. You will be central in ensuring data reliability, scalability, and accessibility across our lakehouse and transactional systems. This role is ideal for someone who thrives at the intersection of engineering and innovation, ensuring our data platforms are robust today while enabling the products of tomorrow. A Day in the Life - Lakehouse and Pipelines - Design, build, and operate reliable ETL and ELT pipelines in Python and SQL. - Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture. - Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless. - Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets. - Data Modeling and Governance - Develop schemas, tables, and views optimized for analytics, APIs, and product use cases. - Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains. - Maintain clear and consistent documentation for datasets, pipelines, and operating procedures. - Integration of New Data Sources - Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core. - Partner with product and innovation teams to build repeatable processes for onboarding new data streams. - Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational). - Analytics and Predictive Tools - Collaborate with the innovation team to prototype and productionize analytics, predictive features, and decision-support tools. - Support dashboards, APIs, and services that activate insights for internal stakeholders and clients. - Work closely with Data Science and AI colleagues to ensure engineered pipelines meet modeling and deployment requirements. - Reliability and Optimization - Monitor job execution, storage, and cluster performance, ensuring cost efficiency and uptime. - Troubleshoot and resolve data issues, proactively addressing bottlenecks. - Conduct code reviews, enforce standards, and contribute to CI/CD practices for data pipelines. Qualifications - 5+ years of professional experience in data engineering, ETL, or related roles. - Strong proficiency in Python and SQL for data engineering. - Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform. - Practical understanding of Medallion architectures and layered data design. Requirements - Familiarity with modern data stack tools, including: - Spark or PySpark - Workflow orchestration (Airflow, dbt, or similar) - Testing and observability frameworks - Containers (Docker) and Git-based version control - Excellent communication skills, problem-solving mindset, and a collaborative approach. Benefits - 100% remote environment with opportunities for local meet-ups. - Positive, diverse, and supportive culture. - Passionate about serving clients focused on Cancer and Blood diseases. - Investment in you with opportunities for professional growth and personal development through Vaniam Group University. - Health benefits – medical, dental, vision. - Generous parental leave benefit. - Focused on your financial future with a 401(k) Plan and company match. - Flexible Time Off policy for rest and relaxation. - Volunteer Time Off for community involvement. - Emphasis on Personal Wellness. - Virtual workout classes. - Discounts on tickets, events, hotels, child care, groceries, etc. - Employee Assistance Programs. - Salary offers are based upon several factors including experience, education, skills, training, demonstrated qualifications, location, and organizational need. The range for this role is $110,000 - $125,000.