Data Engineer Location: Toronto, ON Full time Hybrid Department: Engineering Data Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money—bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses. We’re looking for a Data Engineer to help us scale our data ecosystem as Relay enters an exciting new chapter of growth. This is a unique opportunity to be responsible for key aspects of the evolution of our data and analytics stack as the company grows. You'll have a dedicated interest in ensuring our teams have access to the right data at the right time in order for us to make the best decisions for our customers. What You'll Be Doing - Data Modeling & Transformation: Build and maintain robust dbt models in Snowflake that enable reliable, privacy-preserving analysis across Relay's core data - Platform Scalability: Ensure the technology and processes that underpin our data platform scale as Relay continues to grow - Data Infrastructure & Tooling: Build the systems that help us track core KPIs and ensure all our teams have the timely and accurate data they need to function effectively - Analytics & Business Intelligence: Partner with stakeholders to build the systems that track core KPIs and ensure every team has timely, accurate data to operate effectively - Security & Compliance: Work closely with Trust, Security, and Governance teams to keep customer data safe through best-in-class security and compliance practices What You'll Bring - You have 2+ years of Data Engineering experience - You write SQL that goes well beyond SELECT, WHERE and GROUP BY -- think complex window functions, query optimization, and schema design - You're fluent in Python and know how to write clean, maintainable, production-grade code - You have hands-on experience with our core stack: dbt for transformations, Dagster for orchestration, Snowflake as our data warehouse, and cloud infrastructure (AWS, GCP, or Azure) - You have experience with BI/data visualization tools (Looker, Metabase, Mode, etc.) and understand what it takes to support a great analytics layer - You have a track record of extracting real value from large, complex datasets -- and a genuine curiosity for what the data is telling you - You can drive work independently, collaborate well with cross-functional stakeholders, and know when to ask for input vs. just move Bonus Points: - You have an understanding of applied statistics, are able to create quantitative models, and can clearly communicate findings to a technical and non-technical audience - You have domain knowledge of Banking or SaaS analytics, and are familiar with concepts like LTV, churn, retention, etc. - You have experience with streaming or microbatch analytics (Spark Streaming, Flink, Beam, etc.) and design methodologies of persistent event stores (AWS Kinesis, GCP PubSub, Apache Kafka, Apache Pulsar, etc.) - You’ve joined a company at its early stages and have seen it through scale The Interview Process Stage 1: A 30-minute Google Meet video call with a member of the Talent team Stage 2: A 45-minute technical deep dive via Google Meet with our Engineering Manager, Data Stage 3: A 60-minute case study presented to a panel of technical stakeholders Stage 4: A 45-minute in-person interview with a member of the Leadership team Our Compensation Approach We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle. The annual salary range for this role is $120,600 - $147,400 CAD. For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is $134,000 CAD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one. We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub. Why Relay Might Be the Perfect Fit For You - You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar. - You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering. - You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks. - You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you. - You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself. - You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward. - You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement. - Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you. Join Us We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive. If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner. Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.

• Build transformative AI capabilities from the ground up, including model integration and prompt engineering. • Contribute to the technical direction for how we ingest, transform, store, serve, and govern the data that powers our LLM-based and agentic systems. • Build real-time, user-facing AI features that directly shape business planning and decision-making. • Contribute to the data architecture, design, and deployment of scalable Generative AI and Machine Learning systems into production environments. • Develop end-to-end GenAI features, including backend API services, model integration, model monitoring, evaluations, and deployments. • Integrate and optimize LLMs for specific business planning use cases, including prompt engineering and RAG implementation. • Design and build the retrieval and knowledge layer powering our RAG and agentic workloads, such as vector databases, graph databases, knowledge graphs, hybrid search, and embedding pipelines. • Help design the knowledge graph that captures the semantics of customer models, metrics, hierarchies, and relationships. • Build the data plane for evaluation and continuous improvement, working with cutting-edge conversational and agentic AI technologies. • Engineer the feature and context pipelines that feed forecasting and anomaly-detection models at customer scale, balancing batch and streaming patterns. • Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics.

Role Description Staritas is seeking a Senior Manager of Data Engineering to lead its enterprise data engineering function, including data platform strategy, roadmap execution, modernization, production operations, data quality, governance, and team development. This role is ideal for a hands-on data leader who can scale modern data platforms, improve reliability, guide technical standards, and partner across Technology, Product, Analytics, Security, Operations, and business teams to deliver trusted, secure, and business-ready data capabilities. - Lead and develop a high-performing data engineering team. - Own the data engineering roadmap, delivery planning, technical standards, and platform reliability. - Partner with the CTO and technology leaders on data strategy, modernization, architecture, governance, and operating model. - Deliver scalable ELT/ETL pipelines, data warehouses, data lakes, marts, semantic layers, curated datasets, and analytical data products. - Establish standards for data modeling, orchestration, testing, documentation, code review, CI/CD, monitoring, and production support. - Improve data quality, observability, lineage, alerting, incident response, and DataOps practices. - Reduce technical debt, duplicated datasets, manual reporting, fragile integrations, and recurring production issues. - Support AI, machine learning, advanced analytics, and self-service analytics with trusted, governed, and secure data foundations. - Promote a culture of ownership, accountability, collaboration, documentation, and continuous improvement. Qualifications - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or related field; equivalent experience considered. - 10+ years of technology experience, including data engineering, data architecture, analytics engineering, integration, or enterprise data platform delivery. - 5+ years leading data engineers, analytics engineers, architects, technical leads, or similar teams. - Proven experience delivering enterprise data platforms, production data operations, technical standards, and stakeholder-facing roadmaps. - Strong experience with cloud data platforms, data warehouses, data lakes/lakehouses, data marts, APIs, integrations, and production support. - Hands-on experience building ELT/ETL pipelines. - Experience with Informatica or comparable enterprise data integration platforms. - Strong SQL skills and experience with relational, NoSQL, columnar, and analytical databases. - Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. - Knowledge of orchestration, transformation, data modeling, CI/CD, testing, observability, documentation, agile delivery, governance, metadata, lineage, data quality, and secure access. Preferred Qualifications - Experience with Informatica IDMC, PowerCenter, Data Quality, or Cloud Data Integration. - Familiarity with tools such as Spark, PySpark, Airflow, dbt, Databricks, Snowflake, BigQuery, Redshift, Azure Data Factory, AWS Glue, Power BI, GitHub, GitLab, Jira, or Confluence. - Experience modernizing legacy ETL, fragmented data ecosystems, and manual reporting processes. - Experience supporting AI, machine learning, predictive analytics, or advanced analytics use cases. - Experience in regulated, compliance-oriented, SaaS, ERP, CRM, healthcare, financial, or analytics environments. Requirements - Reliable delivery of the data engineering roadmap. - Improved platform reliability, performance, security, observability, and production support. - Reduced data quality issues, manual work, duplicated datasets, and recurring defects. - Clear and adopted data definitions, lineage, documentation, governance, and access patterns. - Trusted data foundations that support analytics, reporting, operations, product intelligence, and AI. - An engaged, accountable, and growing data engineering team. Benefits - Competitive salary and performance bonus program. - Fully remote work environment. - Comprehensive benefits package including 401k match. - 19 days of PTO per year; 10 holidays per year. - Opportunity to work in a mission-driven organization where your work directly shapes clarity, confidence, and better outcomes across healthcare. - Up to 10% travel, based on business needs.

Role Description Na Qualificar TI, somos especialistas em Governança de Dados, Gerenciamento de Projetos, Transformação Digital e Outsourcing. Se você gosta de aprender, compartilhar conhecimento e construir soluções que fazem diferença, esta vaga é para você. - Elaboração, implantação e condução técnica de projetos de redes WAN, LAN e WLAN. Qualifications - Formação: Bacharelado nas áreas de Tecnologia de Informação. - Experiência consolidada com especificação e implantação de redes WAN, LAN e WLAN, comprovado em carteira ou carta/declaração de empregador anterior. Requirements - Certificações obrigatórias: - Certified Data Management Professional (CDMP) da DAMA International. - Certified Information Management Professional (CIMP) da eLearningCurve. - Pós-graduação ou MBA em Gestão da Informação, Gestão de Dados, ou Governança de TI. Benefits - Ambiente Inovador: Aqui você trabalha com um time diverso e colaborativo, que valoriza o seu conhecimento e incentiva seu crescimento. - Desenvolvimento Contínuo: Oferecemos treinamentos, certificações e programas de capacitação para você evoluir sempre. - Impacto Real: Atuamos em projetos estratégicos que transformam empresas e entregam resultados concretos. - Cultura que acolhe: Valorizamos a diversidade como parte da nossa cultura e acreditamos que a inovação nasce das diferenças.