Data Engineering Lead (Montreal) job opportunity at U.S. Mobile.



Date2025-10-22 bot
U.S. Mobile Data Engineering Lead (Montreal)
Experience: 6-years
Pattern: Full-time
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loacation Montreal, Canada
loacation Montreal....Canada
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<p> </p><p>US Mobile is building the future of wireless communication. The goal: <a href="http://usmobile.com/manifesto">one unified network</a> open to any person and any device, worldwide. Connection without walls. <br><br>We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback <a href="https://www.reddit.com/r/USMobile/">from Reddit</a>, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us <a href="https://usmobile.com/cr">the top-rated mobile carrier</a> two years in a row.*</p> <p>And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.</p> <p></p> <p>We’re looking for an experienced&nbsp;<strong>Data Engineering Lead </strong>to architect, scale, and lead our data infrastructure. You’ll play a critical role in transforming how data flows across the organization — enabling advanced analytics, machine learning, and near-real-time decision-making. You’ll lead a small team of data engineers and collaborate closely with analysts, data scientists, and product teams to ensure data reliability, accessibility, and innovation.</p>\n<p></p><p><br></p><b>Key Responsibilities </b><ul> <li><strong>Architect Scalable Systems:</strong> Design and maintain robust data pipelines, ETL/ELT processes, and data models supporting analytics, ML, and BI tools.</li> <li><strong>Modern Data Stack Ownership:</strong> Oversee and optimize tools across the stack — e.g., S3, Redshift, Snowflake, BigQuery, etc.</li> <li><strong>Data Quality &amp; Governance:</strong> Implement strong data validation, observability, and governance practices to ensure trust and compliance.</li> <li><strong>Collaboration:</strong> Partner with analytics, product, and engineering teams to define data requirements and improve data usability across the organization.</li> <li><strong>Performance Optimization:</strong> Continuously enhance system efficiency, scalability, and cost-effectiveness.</li> <li><strong>Strategic Input:</strong> Influence the long-term data strategy — infrastructure modernization, data platform evolution, and cloud architecture.</li> </ul><p><br></p><b>Qualifications</b><ul> <li>6+ years of experience in data engineering, including 2+ years in a leadership or team lead role.</li> <li>Proven experience designing and maintaining scalable data pipelines, ETL/ELT processes, and data models for analytics, ML, and BI.</li> <li>Hands-on expertise with modern data stack tools such as S3, Redshift, Snowflake, and BigQuery.</li> <li>Deep understanding of SQL, Python, and ETL frameworks, as well as data quality, validation, observability, and governance best practices.</li> <li>Deep knowledge of cloud infrastructure, data architecture, and performance optimization.</li> <li>Strong communication and leadership skills, with the ability to guide both strategy and execution.</li> </ul><p><br></p><b>Benefits</b><ul> <li>Competitive salary 175k CAD - 225k CAD (based on experience)</li> <li>Flexible working hours</li> <li>Supplemental health insurance</li> <li>Professional development stipend</li> <li>$500 wfh tech set-up reimbursement</li> </ul><p><br></p><p></p>\n<div>$175,000 - $225,000 a year</div>\n<p><span style="font-size: 16px;">Think you’d be a great fit? Apply to learn more!</span></p>

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