Fynite is looking for a Data Engineer to design and scale data pipelines that power enterprise AI systems and high-performance analytics workloads.This role combines data pipeline engineering, cloud data platforms, and advanced SQL optimization to ensure reliability, scalability, and performance across large production datasets.You will work at the intersection of data infrastructure, ETL systems, and performance engineering to support business-critical and AI-driven workflows.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelinesValidate, transform, and troubleshoot data flows across systemsEnsure seamless data integrations and cross-platform data movementCollaborate with engineering and product teams to translate business requirements into scalable data solutionsSQL & Data Platform OptimizationDesign and optimize complex SQL queries for analytics and operational use casesWork with large-scale datasets and high-volume production workloadsAnalyze query execution plans and improve performance using indexing, partitioning, and schema optimizationMonitor and fine-tune database performance to ensure efficiency and scalabilityDatabase & GovernanceManage relational databases ensuring data integrity, accuracy, and availabilityDevelop and maintain database objects (stored procedures, views, functions)Implement data governance standards and ensure compliance with company policiesRequired Skills2+ years of experience in data engineering, SQL development,



or database optimizationStrong proficiency in SQL (joins, CTEs, window functions, subqueries)Experience building and supporting ETL/ELT pipelinesExperience working with large datasets and high-volume production workloadsStrong knowledge of query performance tuning and execution plan analysisExperience managing relational databases in production environmentsPreferred SkillsExperience with cloud databases (AWS RDS, Azure SQL, BigQuery, Redshift)Data warehousing experience (Snowflake, Redshift, BigQuery)Experience with ETL orchestration tools (Airflow, AWS Glue)Experience with AWS, Azure, or GCPExperience supporting AI/analytics workloadsAI & Agentic Systems (Strongly Preferred)Experience working with AI/ML data pipelinesFamiliarity with LLM-based systems (OpenAI, Gemini, Bedrock, etc.)Understanding of AI agents, autonomous workflows, or agent orchestration frameworksExperience preparing, validating, or optimizing datasets for AI-driven decision systemsExposure to building or supporting data infrastructure powering AI applicationsEducationBachelor's or Master's Degree in Computer Science, Data Science, Mathematics, or related field (Master's preferred)Why Join FyniteBuild data systems that power real AI agents running enterprise workflowsWork on a platform combining data, intelligence, and execution end-to-endHigh-impact role in a quick-scaling AI automation company

📌 Data Engineer (Ottawa)
🏢 Fynite
📍 Ottawa