{"id":4084693,"url":"https://alion.io/job/questrade-technology-brokerage-engineering-senior-data-engineer","title":"Technology - Brokerage Engineering - Senior Data Engineer","company":{"id":58127,"name":"Questrade","domain":"questrade.com","url":"https://alion.io/company/questrade","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Dayforce","truth_index":{"grade":"A","score":95,"open_postings":9,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":62,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["North York, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":120000,"max":143000,"currency":"CAD","period":"year","gross":null,"usd_annual":100414},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"MS SQL","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Self-Healing","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-11T05:00:00Z","employer_posted_date":"2026-11-11","last_verified_at":"2026-11-11T18:36:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"What’s in it for you as an employee of QFG?\nHealth & wellbeing resources and programs \nPaid vacation, personal, and sick days for work-life balance\nCompetitive compensation and benefits packages\nWork-life balance in a hybrid environment with at least 3 days in office\nCareer growth and development opportunities\nOpportunities to contribute to community causes\nWork with diverse team members in an inclusive and collaborative environment\n\nThis job posting is for an existing vacancy \n\nWe’re looking for our next Senior Data Engineer. Could It Be You?\nAs part of the Brokerage Engineering organization, the Senior Data Engineer is accountable for the technical design, development, and operational excellence of scalable data pipelines and modern data platform infrastructure. Operating in a high-velocity, agile delivery model, this role bridges business requirements, core trading and brokerage operations, and downstream analytics to deliver timely, reliable, and audit-compliant data products. By leveraging cloud data warehousing, automated transformations with dbt (Data Build Tool), distributed data processing with Spark on Kubernetes, GCP data services, and Infrastructure as Code, the role enhances platform performance and data self-service capabilities across the brokerage ecosystem.\n\nNeed more details? Keep reading…\n\nIn this role, responsibilities include but are not limited to: \nPipeline Architecture & Engineering: Lead the technical design, development, and optimization of scalable, high-performance batch and real-time streaming data pipelines (ETL/ELT), ensuring robust data ingestion, orchestration, compute efficiency, and timely availability for critical brokerage trading and digital investing platforms.\nData Modeling & Transformation with dbt: Architect, implement, and maintain modular, version-controlled data models and transformation workflows using SQL and dbt, establishing robust automated testing, documentation, and data lineage to deliver analytics-ready and audit-compliant data assets.\nDistributed Data Processing & Spark Orchestration: Build, tune, and scale high-throughput big data processing workloads utilizing Google Cloud Dataproc and Apache Spark running on Kubernetes, optimizing cluster resource allocation, memory management, and job execution for complex brokerage datasets.\nInfrastructure as Code (IaC) & Cloud Provisioning: Provision, configure, and manage resilient cloud data infrastructure across environments using Terraform, embedding CI/CD automation, security best practices, and cost-effective resource management into all data platform deployments.\nData Reliability, Observability & Incident Resolution: Analyze and resolve complex technical problems and production data anomalies across the stack, diagnosing root causes through systematic investigation and implementing durable monitoring, automated alerting, and self-healing solutions to prevent recurrence.\nData Governance, Lineage & Regulatory Integrity: Ensure comprehensive data quality, data lineage, role-based access control, and metadata cataloging across all brokerage data pipelines to satisfy strict financial industry governance, auditability, and regulatory reporting standards.\nCross-Functional Solution Delivery: Partner closely with Product Managers, Solution Architects, Software Engineers, and Data Science/ML Ops teams to translate complex business requirements and predictive models into robust, production-grade data products and integration workflows.\nStandards, Quality & Technical Mentorship: Define and enforce coding, testing, and deployment standards across data repositories, conducting thorough code reviews and providing technical guidance and mentorship to junior and intermediate engineers to foster engineering excellence.\n\nSo are YOU our next Senior Data Engineer ? You are if you…\nBachelor’s degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.\n5+ years of progressive data engineering experience with demonstrated success delivering robust, production-grade data pipelines.\nAdvanced proficiency in SQL and Python for data engineering, automation, and complex data transformations.\nHands-on production experience with distributed data processing using Google Cloud Dataproc and/or Apache Spark.\nDemonstrated hands-on experience running and orchestrating data processing workloads on Kubernetes (containerization, pod scheduling, and resource scaling).\nHands-on production experience with cloud data warehousing and orchestration platforms (e.g., Google Cloud Platform services such as BigQuery, Cloud Composer/Airflow, Dataflow, Pub/Sub, or Databricks).\nDemonstrated working knowledge and hands-on experience using dbt (data build tool) for data modeling, transformation, and automated testing.\nDemonstrated working knowledge of Infrastructure as Code (IaC) utilizing Terraform to provision, configure, and maintain cloud infrastructure.\nStrong experience with relational and non-relational database management systems (e.g., MSSQL, PostgreSQL, CloudSQL).\nDemonstrated experience with modern CI/CD deployment pipelines, automated testing frameworks, and version control (Git).\n\nAdditional kudos if you…\nDirect experience within financial services, brokerage technology, trading systems, capital markets, or wealth management data domains.\nExperience with event-driven or real-time streaming architectures (e.g., Apache Kafka, Google Cloud Pub/Sub).\nRelevant cloud or engineering certifications (e.g., Google Cloud Certified Professional Data Engineer, Databricks Certified Data Engineer, or Certified Kubernetes Administrator/Application Developer).\nExperience working within Agile/Scrum or Scaled Agile Framework (SAFe) environments.\nPractical experience leveraging AI-assisted developer tooling (e.g., Claude, GitHub Copilot, Cursor) to optimize development velocity and code quality.\nCompensation Information:\nBase salary range: $120,000 - $143,000\nThe final compensation package will be commensurate with the successful candidate's experience, skills, and geographic location (Canada). It includes a comprehensive benefits plan and a competitive incentive (bonus) program for Full-Time Permanent roles.\n\nSounds like you? Click below to apply!","description_format":"text","description_chars":6250,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Banks & Neobanks","Mortgage Lending & Brokers","Investing Apps & Robo-Advisors","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-11-11T18:36:49Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":62,"reasons":["conf:2","win:early"],"computed_at":"2026-11-11T21:24:31Z"},"pay":{"stated_usd_annual":100414,"is_top_pay":false},"html_url":"https://alion.io/job/questrade-technology-brokerage-engineering-senior-data-engineer","json_url":"https://alion.io/job/questrade-technology-brokerage-engineering-senior-data-engineer.json","meta":{"generated_at":"2026-11-11T21:24:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":42007,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":58127},"rest":"https://alion.io/mcp/rest/get_company?id=58127"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fquestrade-technology-brokerage-engineering-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fquestrade-technology-brokerage-engineering-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fquestrade-technology-brokerage-engineering-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/questrade-technology-brokerage-engineering-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fquestrade-technology-brokerage-engineering-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4084693}},{"tool":"search_jobs","arguments":{"company":"questrade.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4084693},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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