Job Title: Senior Data Engineer x2
Location: Remote; must be physically located in Canada
Contract Duration: to March 31, 2026 + potential to extend
Start Date: ASAP
Rate Range: $75-90/hrServices Required:
Design and build the infrastructure required for optimal extracting, transformation, and loading of data from a wide variety of data sources using Informatica, SQL, SSIS, 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.
Deliverables:
Documentation artifacts, including but not limited to metadata, detailed requirements, technical design, data models, process flow diagrams, operational support documents.
ETL, scripts and code to support data extraction and data pipelines established.
Qualifications / Experience Required:
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.
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.
Microsoft Certified: Azure Data Engineer Associate would be considered an asset.
Experience working with healthcare data would be considered an asset.
Expected salary
Location
Canada
Job date
Sat, 09 Aug 2025 00:43:28 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (jobsnearcanada.com) you saw this job posting.