Posted 4 months ago
Databricks Data Engineer
@ Querentia Inc.
Remote in Canada
Overview
Querentia Inc. is hiring a contract Databricks Data Engineer to build and manage scalable data pipelines and ETL/ELT workflows. The work involves Apache Spark, Python and SQL on cloud platforms (Azure, AWS or GCP).
Responsibilities:
- Design and manage scalable data pipelines using Databricks
- Build and optimize ETL/ELT workflows
- Process and analyze data with Apache Spark, Python and SQL
- Ensure data quality and pipeline performance
- Support cloud data engineering across Azure, AWS or GCP
Requirements summary:
- Strong hands-on experience with Databricks
- Proficiency in Apache Spark, Python and SQL
- Experience designing and maintaining ETL/ELT pipelines
- Knowledge of Azure, AWS or GCP
- Strong data integration and optimization skills
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-07-09
- 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
| Department | IT |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
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 |
Job Summary
We are seeking a hands-on Databricks Data Engineer with experience building scalable data pipelines and supporting cloud-based data engineering initiatives. The ideal candidate will have strong expertise in Databricks, Apache Spark, Python, and SQL , with experience developing ETL/ELT workflows across cloud platforms.
Key Responsibilities
• Design, develop, and manage scalable data pipelines using Databricks .
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and integration.
• Utilize Apache Spark, Python, and SQL for data processing and analytics.
• Collaborate with data engineers, analysts, and business stakeholders to deliver reliable data solutions.
• Ensure data quality, performance optimization, and efficient pipeline execution.
• Support cloud-based data engineering initiatives across Azure, AWS, or GCP environments.
Required Skills & Experience
• Strong hands-on experience with Databricks .
• Proficiency in Apache Spark, Python, and SQL .
• Experience designing and maintaining ETL/ELT pipelines.
• Knowledge of cloud platforms such as Azure, AWS, or GCP .
• Strong understanding of data integration, transformation, and performance optimization.
• Excellent analytical, problem-solving, and collaboration skills.
Preferred Skills
• Experience working in modern cloud data platforms and analytics environments.
• Familiarity with data governance and best practices for scalable data engineering solutions
Journal
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