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Senior Data Engineer – Data Analytics & Business Intelligence (Canada)

Jobgether • Canada
Remote
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AI Summary

Design and optimize scalable data infrastructure and analytics solutions to drive data-driven decision-making. Develop ETL/ELT pipelines, self-service dashboards, and ensure high data quality while collaborating with cross-functional teams. Requires 8+ years of SQL, Python, and Tableau expertise with cloud platforms and distributed technologies.

Key Highlights
Build and optimize scalable ETL/ELT pipelines for data ingestion, transformation, and delivery
Develop self-service dashboards and reports using Tableau, SQL, and Python for actionable insights
Collaborate with Data Science, Engineering, and business teams to improve data-driven decision-making

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Key Responsibilities
Triage and prioritize requests for people data, reporting, and ad hoc analysis while managing stakeholder expectations
Design, develop, automate, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and delivery
Build self-service dashboards and reports using Tableau, SQL, Python, and Jupyter Notebooks to enable data-driven decision-making
Collaborate with cross-functional teams to define reporting requirements and improve analytics solutions
Audit data integrity, investigate data quality issues, and establish processes to enhance accuracy and reliability
Optimize ETL processes through architecture, code optimization, and performance improvements
Provide guidance on interpreting metrics, using dashboards, and applying data effectively to end users
Document technical designs, data definitions, operational procedures, and changes to analytics solutions
Participate in on-call responsibilities to monitor and resolve operational data system issues
Stay current with emerging data engineering practices, cloud platforms, and industry trends
Technical Skills Required
SQL Python Tableau

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Benefits & Perks
Competitive compensation (~$135,000 annually)
Remote work environment
Comprehensive benefits supporting professional and personal well-being

Job Description

This role is responsible for building and optimizing scalable data infrastructure and analytics solutions that support data-driven decision-making across the organization. You will work across data engineering, business intelligence, reporting, and analytics to turn complex datasets into actionable insights. The position combines hands-on development with close collaboration across Data Engineering, Data Science, and business teams. You will design reliable ETL/ELT pipelines, develop self-service dashboards, and improve data quality and accessibility. The role offers an opportunity to influence how teams use data while applying strong engineering, documentation, testing, and performance practices. You will also contribute to a collaborative environment focused on continuous learning, innovation, and technical excellence.
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Job Overview
Posted Date Sep 29, 2026
Employment Type Full-time
Experience Level Not Applicable
Location Canada
Category Data Science
Company Jobgether
Mentioned Skills
python nosql artificial intelligence google cloud platform cassandra ai etl gdpr aws devops apache cloud tableau sql data analysis jupyter notebook hadoop spark machine learning

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