Data Engineer

About The Company

Xplore Inc. is Canada's leading fibre, 5G, and satellite broadband provider dedicated to enhancing rural connectivity. Committed to delivering reliable and innovative broadband solutions, Xplore aims to bridge the digital divide for rural communities across Canada. The company's mission centers on building a robust fibre optic and 5G wireless network that supports advanced broadband services, improving everyday life for current and future generations. With a focus on technological excellence and customer satisfaction, Xplore is at the forefront of rural telecommunications, fostering economic growth and digital inclusion throughout the country.

About The Role

As a Senior GIS Data Engineer at Xplore Inc., you will be instrumental in shaping and maintaining the company's spatial data infrastructure. This is a remote position open to candidates across Canada, offering the flexibility to work from anywhere within the country. Your primary responsibility will be to design, develop, and optimize the enterprise data lakehouse platform and Machine Learning (ML) stack, focusing on geospatial data workflows that support network planning, coverage analysis, and serviceability assessments. You will oversee the end-to-end GIS data engineering functions, including spatial data ingestion, processing, and publishing, ensuring data accuracy, reliability, and accessibility for internal teams and external partners.

You will also mentor intermediate and junior engineers, contribute to platform standards, and collaborate closely with analytics and AI teams to deliver high-quality, trusted geospatial workflows. Your expertise will directly impact the company's ability to leverage spatial data for strategic decision-making, network optimization, and customer service enhancements. This role offers a unique opportunity to work at the intersection of GIS technology, data engineering, and telecommunications, contributing to Canada's digital infrastructure development.

Qualifications

The ideal candidate will possess 7-10 years of experience in data engineering with a strong focus on GIS and spatial data management. Expertise in Databricks, including Spark optimization, Delta Lake, and Unity Catalog governance, is essential. Proficiency in Python and PySpark for production-grade data pipelines is required. Candidates should demonstrate a deep understanding of GIS concepts such as PostGIS, spatial SQL, coordinate systems, and ArcGIS workflows (Online and Enterprise). Experience with H3 or similar spatial indexing systems at scale is highly desirable. Additionally, proven experience in managing vendor data contracts and project deliverables, along with knowledge of CI/CD practices, infrastructure-as-code, and data observability solutions, will be considered assets. Strong communication skills and mentorship experience are also important for success in this role.

Responsibilities

• Own and operate GIS workflows that support eCoverage qualification, including H3 indexing, framework selection, and probabilistic coverage modeling within Databricks.
• Develop and maintain spatial feature engineering pipelines on Databricks that supply machine learning models with production-ready geospatial features for RF propagation, churn prediction, and demand forecasting.
• Engineer the data pipeline for publishing spatial layers from Databricks to ArcGIS Online and Enterprise, ensuring reliable and high-performance delivery of geospatial data.
• Optimize compute resources and costs on Databricks by tuning Spark jobs, partitioning strategies, and spatial query performance, utilizing both Classic and Serverless environments.
• Manage large-scale spatial data ingestion, including shapefiles, rasters, and vector tiles, into Unity Catalog with governed schema and lineage tracking.
• Lead vendor engagements by defining geospatial use cases, drafting data contracts, and overseeing third-party deliverables to ensure alignment with project goals.
• Collaborate with data science, analytics, and network teams to translate business requirements into scalable spatial data products and workflows.
• Implement governance frameworks, including data lineage, cataloging, and quality assurance, to ensure compliance and data integrity.
• Translate complex business needs into scalable, efficient data engineering solutions that enhance operational capabilities and strategic insights.

Benefits

Xplore Inc. offers a comprehensive benefits package that includes competitive salary, health and dental coverage, and retirement savings plans. Employees have access to ongoing professional development opportunities and training programs to support career growth. The company promotes a flexible work environment, recognizing the importance of work-life balance, especially in remote roles. Additionally, Xplore fosters a collaborative and inclusive workplace culture that values innovation, diversity, and employee well-being. Employees also benefit from being part of a forward-thinking organization that is dedicated to advancing rural connectivity and digital infrastructure across Canada.

Equal Opportunity

Xplore Inc. is committed to fostering an inclusive and equitable work environment. We welcome applications from all qualified individuals regardless of race, gender, age, disability, sexual orientation, or background. We ensure equal employment opportunities and provide accommodations during the recruitment process to support candidates with disabilities. Our goal is to create a diverse workforce that reflects the communities we serve and to promote a culture of respect, inclusion, and opportunity for all employees.