Postuler

Publié hier

Senior Data Engineer

@ RBC Capital Markets, LLC

Vancouver, Colombie-Britannique

Temps plein7+ ans d’expérience
Postuler
SIGNAUX

En bref

RBC Capital Markets, LLC is hiring a Senior Data Engineer for its CNB (City National Bank) digital transformation, based in Vancouver. The role builds cloud-native ETL/ELT pipelines on Informatica and Snowflake, with Python automation, on a full-time salaried basis with a flexible benefits program.

Responsabilités :

  • Design and maintain batch and near-real-time ETL/ELT pipelines into Snowflake
  • Build Informatica mappings, task flows and transformations (IICS/IDMC or PowerCenter)
  • Manage and tune Snowflake environments and costs
  • Develop Python components, PySpark scripts and automated data validation
  • Implement dimensional models and SCD Type 1 and Type 2 handling

Résumé des exigences :

  • 7 to 10+ years in data engineering and enterprise data warehousing
  • 5+ years Informatica PowerCenter or IICS/IDMC
  • 5+ years Snowflake including Snowpark
  • Advanced Python and expert SQL
  • AWS or Azure cloud experience
  • Git and automated deployment tools

Outils et compétences

Source et dates

Site carrière / système de candidatures · workday

Date publiée par l’employeur
2026-11-08
Première détection par notre source
2026-10-08
Mise à jour du dossier source
2026-11-09

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience7 an(s) et plus
Heures par semaine37.5
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish
Avantages mentionnésHoraire flexible, Prime de rendement

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

RBC Capital Markets, LLC

ChampValeur
Offres sur Jobsy2
Description

Job Description

WHAT IS THE OPPORTUNITY?


CNB (City National Bank), an RBC company, is modernizing its data architecture as a core part of our digital transformation strategy. We're seeking a Senior Data Engineer to architect and build scalable, cloud-native ETL/ELT pipelines that power our enterprise data ecosystem. In this critical role, you will design end-to-end data solutions leveraging Informatica (PowerCenter/IDMC) and Snowflake, while driving our data modernization initiatives forward. You will blend traditional enterprise data warehousing concepts with modern cloud technologies, specifically leveraging Informatica (PowerCenter/IDMC) and Snowflake, while using Python for advanced scripting, customization, and automation using frameworks such as Django, FastAPI, or Flask, and proficiency in Unix/Linux scripting.


WHAT WILL YOU DO?

  • Design, build, and maintain robust batch and near-real-time ETL/ELT pipelines to ingest and transform data from diverse enterprise sources (APIs, databases, third-party systems) into Snowflake
  • Build and optimize complex data mappings, task flows, and transformations using Informatica Intelligent Cloud Services (IICS/IDMC) or PowerCenter
  • Manage and tune Snowflake environments, including workload management, query optimization, virtual warehouse sizing, and cost optimization
  • Develop custom Python components, reusable frameworks, and PySpark scripts for advanced processing and data validation
  • Implement dimensional data models, star/snowflake schemas, and Slowly Changing Dimensions (SCD Type 1 & Type 2) to support analytics requirements
  • Establish and maintain automated CI/CD deployment pipelines (Git-based) for database schemas, Python code, and Informatica assets
  • Design and implement automated data quality checks, reconciliation processes, audit controls, and end-to-end data lineage
  • Partner with architecture, business intelligence, and data science teams to translate complex requirements into scalable technical solutions; mentor junior engineers on best practices

WHAT DO YOU NEED TO SUCCEED?

Must Have:

  • 7–10+ years of professional experience in data engineering, ETL development, and enterprise data warehousing
  • 5+ years of hands-on development using Informatica PowerCenter or Informatica Cloud (IICS/IDMC)
  • 5+ years of deep technical expertise in Snowflake, including SnowSQL, Snowpark (Python), and native cloud loading
  • Advanced proficiency in Python (including libraries like Pandas or PySpark) and expert-level SQL development (stored procedures, analytical functions, performance tuning).
  • Strong familiarity with cloud ecosystems such as AWS (S3, Lambda, Glue) or Microsoft Azure
  • Proven experience with version control systems (Git) and automated deployment tools (Azure DevOps, or GitHub Actions).
  • Strong problem-solving, analytical thinking, and excellent communication skills with the ability to collaborate across functions

Nice-to-Have:

  • Official certifications such as Snowflake Certified Core Engineer or Informatica Cloud Data Integration Specialist.
  • Experience with one of cloud platforms (AWS, Azure, or GCP)
  • Exposure to big data tools (Spark, Kafka, etc.)
  • Understanding of data security and compliance
  • Prior experience preparing and optimizing datasets for machine learning and AI initiatives.

WHAT'S IN IT FOR YOU?

  • A comprehensive Total Rewards Program including competitive compensation, bonuses, and flexible benefits
  • Leaders who invest in your development through coaching and career advancement opportunities
  • Ability to drive meaningful impact on RBC's data and technology strategy
  • Work with a dynamic, collaborative, high-performing team on enterprise-scale challenges
  • Opportunities to take on progressively greater accountabilities and technical leadership roles
  • Access to learning resources and career development across RBC's business

#LI-POST

#TechPJ

Job Skills

Collaboration, Cross-Functional Teamwork, Data Analysis, Data Analytics, Data Architecture Development, Data Development, Data Governance, Data Management, Data Processing, ETL Processing, Quality Management

Additional Job Details

Address:

745 THURLOW ST:VANCOUVER

City:

Vancouver

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-09-29

Application Deadline:

2026-12-07

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Emplois semblables

  • Data Engineer

    North Vancouver, BC
    40–60 $/hTemporaire

    Robert Half

    5+ ansCandidates need 5+ years as a business analyst, data analyst or data engineer, with strong SQL, advanced Excel and Power BI skills. Experience with ERP systems and finance, procurement or inventory processes is required.

    SQL, Excel, Power Query, Power Pivot, Power BI, Oracle

  • Senior Data Engineer

    Victoria, BC
    Télétravail

    Beatport

    5+ ansBeatport needs candidates with 5+ years of direct data engineering experience, expert SQL (ideally MySQL or Postgres dialects), dbt, and production ETL/ELT ownership with orchestration tools such as Airflow or Composer. Candidates also need Python, strong attention to data integrity for financial or regulatory reporting, and clear communication with technical and non-technical stakeholders.

    dbt, BigQuery, Google Cloud Platform, Airflow, Cloud Composer, Cloud Run

  • Senior Data Engineer

    Vancouver, BC

    Capgemini

    Capgemini needs candidates with strong or expert Spark (PySpark) skills, hands-on pipeline development experience in Azure, and experience with orchestration tools such as ADF or Airflow. They also need SQL and denormalized data modeling skills for big data systems.

    PySpark, Databricks, Jupyter Notebooks

    Senior Data Engineer - Vancouver

    Vancouver, BC

    Capgemini

    Candidates need strong, expert-level Spark (PySpark) skills, hands-on Azure data pipeline experience, and knowledge of orchestration tools such as ADF or Airflow. Experience with SQL, denormalized data modeling for big data, and Jupyter, Colab or Databricks is also expected.

    Spark, PySpark, Databricks, Jupyter Notebooks, Airflow

  • Data Engineer (Intermediate)

    Kelowna, BC

    KF Aerospace

    2+ ansCandidates need a degree or diploma in computer science or a related field, or equivalent experience, plus 2 to 5 years in data engineering or data warehousing. Strong SQL, SQL Server, Microsoft Fabric, Azure Synapse and Power BI skills are required.

    SQL Server, Microsoft Fabric, Azure Synapse, Power BI, Azure Data Factory, Azure DevOps

  • Data Engineer

    Vancouver, BC
    Temps plein

    The Semios Group

    3+ ansCandidates need 3 to 5 years of data engineering experience on cloud platforms and production pipelines. They must know advanced SQL, Python or Node, at least one data warehouse, and workflow tools such as Prefect or Dagster.

    BigQuery, Redshift, Snowflake, Postgres, Cloud SQL, Cloud Run

  • Data Engineer

    Langley, BC
    Temps plein

    Pattison Food Group Ltd

    2+ ansCandidates need a STEM bachelor's degree, at least 2 years of building production data pipelines in the cloud, and strong SQL and Python/PySpark skills. Experience with Databricks, Spark, Delta Lake, Azure Data Factory and Git-based CI/CD is required.

    Databricks, Delta Lake, Azure Data Factory, Python, PySpark, SQL

  • Data Engineer, Amazon Prime

    Vancouver, BC
    Temps plein

    Amazon Development Centre Canada ULC

    3+ ansCandidates need at least three years of data engineering experience, including data modelling, warehousing and building ETL pipelines. They also need a track record of processing large datasets and extracting value from them. Experience with AWS services such as Redshift, S3, Glue, EMR and Kinesis is preferred.

    AWS Glue, Amazon EMR, Amazon S3, AWS Lambda, Amazon DynamoDB, Redshift

Lieux et modes de travail

Lieux

Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

Astuce : ajoutez le télétravail pour élargir la recherche.

Exclure des lieux

Mode de travail

Offres de cette entreprise dans les résultats

Voici les offres de cette entreprise chargées dans votre recherche. Elle peut avoir d’autres postes ouverts.