Posted 5 months ago
Senior Data Engineer – Azure & Databricks
@ Querentia Inc.
Remote in Canada
Overview
Querentia Inc. is hiring a Senior Data Engineer on a contract basis to build and run large-scale ETL/ELT pipelines and cloud data platforms on Microsoft Azure and Databricks. The work centres on pipeline development, performance optimization, orchestration and CI/CD rather than analytics or machine learning.
Responsibilities:
- Design and maintain scalable ETL/ELT pipelines on Microsoft Azure
- Build and optimize Databricks and PySpark processing workflows
- Develop integrations with ADLS, ADF and Synapse
- Manage orchestration, monitoring and operational support
- Support CI/CD for data workflow deployment
Requirements summary:
- Extensive hands-on Azure data engineering experience
- Extensive Databricks and Spark experience
- Strong PySpark and SQL development skills
- Experience with large-scale performance tuning
- CI/CD and DevOps experience for data workflows
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-05-28
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-02
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Querentia Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 331 |
Senior Data Engineer - Azure & Databricks
Job Summary
We are seeking a highly skilled Senior Data Engineer with strong hands-on expertise in Azure cloud data engineering and Databricks-based pipeline development. The ideal candidate will have extensive experience building scalable, high-performance data pipelines and modern data platforms using Azure-native technologies.
This is a core data engineering role focused on large-scale ETL/ELT development, orchestration, optimization, and cloud data platform engineering - not an analytics or machine learning-focused position.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT data pipelines on Microsoft Azure.
• Build and optimize data processing workflows using Databricks and PySpark.
• Develop and support data integration solutions using Azure data services including:
• ADLS
• ADF
• Synapse
• Databricks
• Implement large-scale data processing and performance optimization strategies.
• Design scalable and efficient data models to support enterprise data platforms.
• Manage data orchestration, monitoring, troubleshooting, and operational support activities.
• Support CI/CD and DevOps practices for automated deployment and data workflow management.
• Collaborate with engineering and business teams to ensure reliable and high-quality data delivery.
Required Qualifications
• Strong hands-on experience with Microsoft Azure data engineering services.
• Extensive experience with Databricks and Spark-based processing frameworks.
• Strong proficiency in PySpark and SQL development.
• Experience building end-to-end ETL/ELT pipelines and scalable cloud data solutions.
• Expertise in large-scale data processing and performance tuning.
• Strong understanding of data orchestration, monitoring, and troubleshooting practices.
• Experience implementing CI/CD and DevOps processes for data engineering workflows.
• Strong analytical and problem-solving skills.
Preferred Qualifications
• Experience working in enterprise-scale cloud migration or modernization initiatives.
• Exposure to modern lakehouse or distributed data architectures.
• Experience supporting high-volume data processing environments.
Key Skills & Competencies
• Azure Data Engineering
• Databricks & PySpark
• ETL / ELT Pipeline Development
• Azure Synapse, ADF & ADLS
• SQL & Data Modeling
• Spark Performance Optimization
• Data Orchestration & Monitoring
• CI/CD & DevOps for Data Workflows
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