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Added 8 mins ago
R&
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- Full-time
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RSM Canada

Senior Data Engineer

Calgary, AB, Canada

Compensation Range: $79,000 - $136,700 · Full-time

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Job details

Pay: Compensation Range: $79,000 - $136,700
Job type: Full-time
Apply by: Nov 27, 2026
Posting language: English
Posted: Oct 28, 2026

Original job description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You’ll find an environment that inspires and empowers you to thrive both personally and professionally. There’s no one like you and that’s why there’s nowhere like RSM.

We Are Seeking a Skilled Business Intelligence And Data Engineering Professional With a Strong Background In Design And Development, Data Modeling, And Business Analytics. This Individual Will Collaborate Closely With Our Data Analytics Team To

Create and maintain data models (dimensional and 3NF) aligned with business requirements.
Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations.
Develop Semantic Models and Reports / Dashboards based on business requirements.
Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.
Collaborate effectively with clients and team members across regions.

Basic Qualifications

Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.
3+ years of experience designing data models across multiple subject areas and business domains.
3+ years of experience in designing and developing business intelligence solutions.
3+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses
Proficient in SQL
Experience with Python/Scala
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Experience with data platforms like Fabric, Databricks or Snowflake
Experience with GIT, DevOps, CI/CD and Version Control
Experience with BI visualization tools such as Power BI, Quick Sight or Tableau.
Strong communication skills, both written and verbal.
Excellent critical thinking and problem-solving abilities.
Team-oriented with the ability to work independently and in virtual teams.
Passion for solving complex business problems through data-driven solutions.
This role requires periodic travel to the United States for business purposes. Candidates must be able to meet the travel requirements of the position, which may include up to 20% travel.

Preferred Qualifications

Experience conducting solution / technical assessments.
Experience with DBT, Spark and BigData technologies
Knowledge of Databricks.
Working knowledge of the modernized information management tool (e.g., Collibra, Informatica, Talend, Alation, Purview)

At RSM, we offer a competitive benefits and compensation package for all our people. Learn more about our total rewards at https://rsmcanada.com/careers/life-at-rsm/rewards-and-benefits.html.

We believe flexibility and in-person connection both play an important role in how we work and grow. Most roles at RSM follow a hybrid workstyle, which means team members are aligned to an RSM office and come together in person when it best supports clients, teams, development or relationship-building. Some roles may be virtual or primarily on-site based on role requirements, team priorities and client needs.

RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Canadian uniformed service; Canadian Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.

At RSM, an employee’s pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $79,000 - $136,700

Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

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More about this job

Responsibilities

Design and maintain dimensional and 3NF data models, and build scalable ETL pipelines that consolidate data from multiple sources into a unified data platform. Develop semantic models, reports, and dashboards; gather business requirements and analyze data; and collaborate with clients and distributed teams.

Requirements

Requires a bachelor’s degree or equivalent experience in a relevant quantitative, technical, business, or analytics field, plus at least three years of experience in data modeling, business intelligence, and data pipeline development. Candidates should be proficient in SQL, have Python or Scala experience, and be familiar with cloud and data platforms, version control and CI/CD, and BI visualization tools; travel of up to 20% may be required.

Skills

Data Modeling
Business Intelligence
ETL Pipeline Development
SQL
Python
Scala
Cloud Platforms
Microsoft Azure
AWS
Google Cloud Platform
Microsoft Fabric
Databricks
Snowflake
Git
DevOps
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Business Intelligence
Data Engineering
Data Modeling
Dimensional Modeling
Third Normal Form
ETL
Source-to-Target Mapping
Business Rules
Data Transformation
Semantic Models
Dashboards
Business Analytics
SQL
Python
Scala
Microsoft Azure
AWS
Google Cloud Platform
Microsoft Fabric
Databricks
Snowflake
Git
DevOps
CI/CD
Power BI
QuickSight
Tableau
dbt
Apache Spark
Data Lakes

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