12/01/2025 Data Engineer

Horizon Computer Solutions Inc.; Regina; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading IT solutions company is seeking a Senior Data Engineer to design and implement data management infrastructure and ETL processes. The ideal candidate will have over five years of experience, a strong background in Informatica and SQL, and the ability to mentor junior staff. This contract role offers significant project responsibilities in a healthcare context, providing a dynamic and challenging work environment.

Qualifications

• Minimum of five (5) years working as a Data Engineer or similar role.
• Experience with Informatica software for two (2) years.
• Bachelor's degree or diploma in related fields with additional experience.

Responsibilities

• Design and build infrastructure for data extraction and transformation.
• Architect databases from various data types.
• Develop and optimize ETL processes.

Skills

Experience with Informatica

Data analysis

SQL expertise

Programming in PL/SQL, R, Python

Cloud platform experience

Education

Bachelor's degree in IT or related field

Diploma with additional experience

Tools

SQL Server

Oracle

SSIS

Job description

Senior Data Engineer – Job Description

Contract Duration

Start Date: Immediate upon selection

End Date: March 31, 2027

Extension Option: additional 12‑month term under the same terms and conditions

Overview

This role involves working with data across various healthcare domains, refining requirements with data models, extracting data from various source systems and database formats, and providing data in a number of formats including Extract, Transform, Load (ETL) aligned with Informatica software. The Senior Data Engineer(s) will report to the Manager of Data Management, work with a project team led by a Project Manager and will provide the required leadership and communication to ensure deliverables are met on time and on budget. This is a highly visible, busy, and challenging role that will be focused on supporting major analytics projects.

Key Responsibilities

• Design and build the infrastructure required for optimal extracting, transformation, and loading of data from a wide variety of data sources using Informatica, Structured Query Language (SQL), SQL Server Integration Services (SSIS), Application Programming Interface (API) and other technologies.
• Architect relational and multi-dimensional databases from structured, semi-structured and unstructured data with development techniques including star and snowflake schemas, ETL, Slow Changing Dimensions (SCD), Fact and Cube development in a data management framework in conjunction with the Provincial Data Platform Infrastructure.
• Identify, design and implement internal process improvements: automate manual processes, optimize data delivery, re‑design data pipelines for greater scalability.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiencies, and other key business performance metrics.
• Develop, maintain, optimize, troubleshoot, debug, monitor, backup and recovery operations for the ETL environment.
• Analyze datasets to ensure compliance with data sharing agreements and legislation restrictions, and for alignment with data architecture guidelines.
• Mentor, support and train Information Analyst and Junior Data Management resources, as required.

Mandatory Qualifications

• Have a minimum of five (5) years of proven experience working as a Data Engineer or similar role.
• Possess a bachelor’s degree in information technology, Engineering or Computer Science, or a diploma in related data management/information technology stream with three (3) additional years of experience (over the required five (5) years) working as a Data Engineer or similar role.
• Have a minimum of two (2) years of proven experience using Informatica software (i.e., Power Centre, Integration Services, Workflow Manager, IDMC and TDM) in an integrated support environment.

Qualifications/Requirements

Expert Knowledge Of

• Oracle and SQL Server Database Management Systems and tools.
• ETL and data pipeline development experience; providing technical consulting and guidance to development teams for the design and development of highly complex or critical ETL architecture.
• Computer programming languages such as PL/SQL, R, Python.
• Operating systems such as Unix, Linux, and Windows.
• Shell Scripting language.
• Data Application Programming Interface (API).
• Algorithms and data structures.

Extensive Experience With

• Information management, logic modeling, conceptual, business process, and workflow design.
• Requirements gathering, analysis, plan, design, develop, implement and maintain Data Management systems.
• Critical, constructive and creative problem‑solving skills that involve issue identification, development of objectives, development of an action plan overseeing what needs to done, while identifying the resources required to ensure quality products.
• Cloud platform for data management.

Plus

• Microsoft Certified: Azure Data Engineer Associate would be considered an asset.
• Experience working with healthcare data would be considered an asset.

Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

IT Services and IT Consulting