Sr. Data Engineer

Xplore Inc. is Canada’s fibre, 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living, for today and future generations. We are looking for a Senior Data Engineer to join our team in Markham, Ontario, Fredericton, New Brunswick or remotely from a location in Canada. This role will be instrumental in building and maintaining the applications and infrastructure that support our data-driven initiatives. You will work closely with data scientists, data engineers, and analysts to develop end-to-end solutions, from robust backend APIs to dynamic reporting interfaces. Experience in programming and automation is key as is the requirement to have a strong ability to work with databases, distributed computing systems, data pipelining, and Ops. Key Responsibilities Include Design, develop, and maintain robust backend ETL pipelines utilizing PySpark, Python and SQL. Load data into medallion architecture layers from diverse upstream sources—including both streaming and batch. Develop and manage APIs to facilitate secure data access and support application functionality. Collaborate with cross-functional teams to gather data requirements and deliver technical solutions. Participate in all phases of the software development lifecycle, including design, implementation, testing, and deployment. Support the Systems Architect in designing infrastructure and data stack components. Develop ETL workflows to provide stakeholders with actionable Network Intelligence. The Ideal Candidate Will Possess Bachelor’s degree in Computer Science, Engineering, or a related discipline. At least five years of practical experience in Data Engineering, Data Science, or full-stack development. Advanced proficiency in Python for backend software development. Extensive experience building pipelines in hybrid on-premises/cloud environments. Demonstrated expertise in continuous integration/continuous deployment (CI/CD) practices. Strong background in API design and development (e.g., REST APIs). Experience with Terraform, and Databricks is considered a strong asset. Significant experience working with relational databases, particularly PostgreSQL. Familiarity with data engineering principles, ETL processes, and pipeline architectures is desirable. Excellent analytical and problem-solving skills, with the ability to work autonomously as well as collaboratively. Outstanding communication and teamwork abilities. Condition Of Employment As a condition of employment and in order to comply with industry related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.

Design and maintain robust backend ETL pipelines and APIs to support data-driven initiatives and network intelligence. Collaborate with cross-functional teams to develop end-to-end solutions from data ingestion to reporting interfaces.

Requires a Bachelor's degree and at least five years of experience in Data Engineering, Data Science, or full-stack development. Proficiency in Python, SQL, and experience with hybrid cloud environments and CI/CD practices are essential.

• SQLPreferred
• CI/CDPreferred
• PostgreSQLPreferred
• TerraformPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• PySpark
• Python
• SQL
• ETL Pipelines
• API Design
• CI/CD
• Terraform
• Databricks
• PostgreSQL
• Distributed Computing
• Medallion Architecture
• Backend Development

• Data & Analytics
• Technology
• Software
• Engineering

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level