Backend Data Engineer – Lakeflow & Job Development

Current Role

Contract – 6 months and for possible extensions

Remote

Canadian Citizen/Permanent Resident only

Pay Rate: $50-$60 per hr.

Role Overview

The Backend Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and backend data workflows. This role focuses on Lakehouse/Lakeflow architectures, job orchestration, and data processing to support analytics, reporting, and downstream applications.

Key Responsibilities
Design and implement backend data pipelines using Lakeflow and job orchestration frameworks
Develop, schedule, and monitor batch and streaming data jobs
Build and maintain data ingestion, transformation, and enrichment processes
Optimize data pipelines for performance, reliability, and cost
Ensure data quality, validation, and error handling across workflows
Collaborate with analytics and visualization teams to support reporting needs
Implement logging, monitoring, and alerting for data jobs
Maintain technical documentation for pipelines, jobs,



and architectures

Required Skills & Experience
Robust experience in backend data engineering and pipeline development
Hands-on experience with Lakehouse / Lakeflow architectures
Proficiency in SQL and at least one programming language (Python, Scala, or Java)
Experience building and scheduling data jobs using orchestration tools
Strong understanding of ETL/ELT patterns and data lifecycle management

Nice-to-Have Skills
Experience with Databricks, Spark, Delta Lake, or similar platforms
Familiarity with cloud-native data services (Azure Data Factory, AWS Glue, GCP Dataflow)
Experience with CI/CD for data pipelines
Knowledge of data governance, security, and access control

Success Criteria
Reliable, scalable, and well-documented data pipelines
Minimal job failures and productive recovery processes
Strong collaboration with analytics and reporting teams
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📌 Backend Data Engineer – Lakeflow & Job Development Calgary (Canada)
🏢 Buchanan Technologies
📍 Canada