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5,480

Data Analysis jobs in United States

Lead Data Engineer (Global Security)

ODAIA

Toronto
On-site
CAD 100,000 - 125,000
24 days ago
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Intermediate Groundwater Modelling Specialist

Montrose Environmental Group

Oakville
Hybrid
CAD 60,000 - 80,000
25 days ago

Intermediate Groundwater Modelling Specialist

Montrose Environmental Group

Edmonton
Hybrid
CAD 60,000 - 80,000
25 days ago

Intermediate Groundwater Modelling Specialist

Montrose Environmental Group

Guelph
Hybrid
CAD 60,000 - 80,000
25 days ago

Data Governance Specialist

Ledcor Construction, Inc.

Vancouver
Hybrid
CAD 92,000 - 127,000
25 days ago
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Director - Executive Compensation

Intello Technologies Inc.

Toronto
Hybrid
CAD 159,000 - 239,000
25 days ago

Business Data Analyst - AI Services (must be fluent in German and English)

Terzo Technologies

Montreal
On-site
CAD 60,000 - 80,000
25 days ago

Sr SAS Developer

NTT DATA, Inc.

Halifax
Hybrid
CAD 80,000 - 110,000
25 days ago
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Data Analyst/Data Migration Specialist/Data Governance

SearchLabs

Mississauga
On-site
CAD 70,000 - 90,000
25 days ago

Audit Manager II, Financial Crimes Issues Validation (793)

TD Bank Group

Canada
On-site
CAD 91,000 - 137,000
26 days ago

Environmental, Health & Safety Specialist

Molson Coors Beverage Company

Toronto
On-site
CAD 79,000 - 105,000
26 days ago

Data Engineer Senior Consultant

NTT DATA

Montreal
On-site
CAD 100,000 - 130,000
27 days ago

Principal Risk Assessor

WSP USA

Vancouver
On-site
CAD 122,000 - 169,000
27 days ago

Product Manager - Individual Insurance

Equitable Life of Canada

Southwestern Ontario
Hybrid
CAD 85,000 - 110,000
27 days ago

Quality Inspection Supervisor (North York)

Morson Canada

Toronto
On-site
CAD 80,000 - 100,000
27 days ago

Specialist Master

Deloitte Canada

Toronto
Hybrid
CAD 85,000 - 156,000
28 days ago

Housing and Homelessness Administrative Student (SS.26.07)

Norfolk County

Central Ontario
On-site
CAD 30,000 - 60,000
28 days ago

Group Product Manager, Digital Acquisition Enablement

Canadian Imperial Bank of Commerce

Toronto
Hybrid
CAD 80,000 - 100,000
28 days ago

Lead Data Engineer

Mastercard

Toronto
On-site
CAD 100,000 - 130,000
28 days ago

Manufacturing Cost & Profitability Analyst

Randstad Canada

St. Thomas
On-site
CAD 80,000 - 100,000
28 days ago

Senior Data Operations Analyst

Manulife

Toronto
Hybrid
CAD 109,000 - 160,000
18 days ago

Business Intelligence Analyst

Ciena

Ottawa
On-site
CAD 101,000 - 162,000
25 days ago

Senior Business Intelligence Developer

Mevotech

Mississauga
Hybrid
CAD 90,000 - 120,000
18 days ago

Salesforce Marketing Cloud Lead (12-Month Term)

Payworks

Calgary
Hybrid
CAD 80,000 - 100,000
17 days ago

Senior Data Scientist

Canadian Tire

Toronto
On-site
CAD 80,000 - 115,000
18 days ago
Lead Data Engineer (Global Security)
ODAIA
Toronto
On-site
CAD 100,000 - 125,000
Full time
24 days ago

Job summary

A leading financial institution in Toronto is seeking a skilled data engineer to design and optimize data pipelines using Azure Databricks. You will leverage your 8+ years of experience in the field, leading a team and implementing best practices in data governance and cloud services. The ideal candidate will have strong knowledge in Databricks and Azure, and excel in collaboration and mentorship within a fast-paced environment. This position offers competitive compensation and opportunities for professional growth.

Benefits

Comprehensive Total Rewards Program
Competitive compensation
Flexible work/life balance options
Opportunities for professional development

Qualifications

  • 8+ years of experience in data engineering delivering business-critical software solutions.
  • Strong expertise in Databricks and Delta Lake.
  • Proficiency in Azure Cloud Services.
  • Solid understanding of Spark and PySpark for big data processing.

Responsibilities

  • Design end-to-end data pipelines in Azure Databricks.
  • Develop and optimize ELT/ELT workflows ensuring data integrity.
  • Collaborate with cross-functional teams for data requirements.
  • Provide mentorship and technical guidance to junior engineers.
  • Implement infrastructure-as-code solutions using Terraform.

Skills

Big Data Management
Cloud Computing
Database Development
Data Mining
Data Warehousing (DW)
ETL Processing
Group Problem Solving
Quality Management
Requirements Analysis

Education

Bachelor’s or Master’s degree in Computer Science or Data Engineering

Tools

Databricks
Azure Cloud Services
Spark
PySpark
Terraform
Kubernetes
Docker
Job description

Job Description

What is the opportunity?

At RBC, our data engineering team enhances visibility into assets across the Public Cloud and Application Security landscape. Our mission is to provide clear insights into digital infrastructure, enabling effective identification and management of security risks. We harness industry-leading tools like Databricks, Python, PySpark, and Tableau, transforming data into strategic assets. Our approach goes beyond traditional security by analyzing complex datasets to generate actionable business insights, thereby strengthening our cyber resilience. Collaboration is key to our success, fostering an innovative environment where team members leverage their narrative and technical skills to drive continuous advancements in cloud security.

What will you do?
  • Design, develop, and maintain end-to-end data pipelines in Azure Databricks using Spark (SQL, PySpark) to transform large datasets efficiently.

  • Develop and optimize ELT/ELT workflows using Databricks Workflows or Apache Airflow ensuring data integrity, quality, and reliability.

  • Design and manage Delta Lake solutions for data versioning, incremental data loads, and efficient data storage.

  • Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights.

  • Implement Site Reliability Engineering (SRE) practices for data pipelines by building automated monitoring, alerting, and incident management solution to ensure data reliability, availability, and performance.

  • Apply best practices in data governance, ensuring compliance using Unity Catalog for access management and data lineage tracking.

  • Monitor, troubleshoot, and optimize Spark jobs for performance, addressing data pipelines bottlenecks and ensuring cost efficiency.

  • Implement infrastructure-as-code solutions using Terraform for automated resource provisioning and management.

  • Develop and maintain comprehensive documentation for data pipelines, transformations and data models.

  • Provide mentorship and technical guidance to junior engineers, fostering a culture of learning and best practices in data engineering.

  • Lead and mentor a team of data engineers, providing technical guidance and fostering professional development.

  • Oversee the design and implementation of complex data solutions, ensuring alignment with business objectives.

  • Drive the adoption of best practices in data engineering, including code reviews, testing, and documentation.

  • Collaborate with stakeholders to define and prioritize data engineering projects, ensuring timely delivery and high-quality outcomes.

  • Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions.

What do you need to succeed?
Must-have
  • Bachelor’s or master’s degree in computer science, Data Engineering, or a related field.

  • 8+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success.

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime, Cluster management, etc.)

  • Proficiency in Azure Cloud Services.

  • Solid understanding of Spark and PySpark for big data processing.

  • English fluency, verbal and written.

  • Knowledge of SCM, Infrastructure-as-code, and CI/CD pipelines.

  • Experience leading and mentoring a team of data engineers.

  • Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously.

  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.

  • Experience with Agile methodologies and DevOps practices.

Nice to Have
  • Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Engineer).

  • Exposure to Kubernetes, Docker, and Terraform.

  • Strong understanding of business intelligence and reporting tools.

  • Familiarity with Cyber Security Concepts.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

  • Leaders who support your development through coaching and managing opportunities

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • A world-class training program in financial services

  • Flexible work/life balance options

  • Opportunities to do challenging work

  • Opportunities to take on progressively greater accountabilities

  • Opportunities to building close relationships with clients

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#TECHPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address: 16 YORK ST:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-11-25

Application Deadline: 2025-12-31

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

Inclusion and Equal Opportunity Employment

At 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.

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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.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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