First seen by our source: 25 days ago
RQ11099 - Sr. DataOps/Cloud Data Engineer
@ Source Code
Toronto, Ontario
Overview
Source Code is hiring a Senior DataOps/Cloud Data Engineer on a 1-year 11-month contract with possible extension, working onsite five days a week at 5700 Yonge St., Toronto. The work builds data pipelines, transformations and lakehouse data models on Databricks, Azure Data Factory and AWS Glue. Pay is $85.35–$102.42/hr incorporated or $68.28–$81.94/hr T4, based on 7.25 billable hours per day, and the role requires a CRJMC security level.
Pay:
$68.28–$102.42 an hour
Responsibilities:
- Design, develop, test and implement data pipelines using Databricks, Azure Data Factory and AWS Glue
- Build complex data transformation procedures
- Design data models for data warehouses and lakehouses
- Troubleshoot data pipelines and transformations
Requirements summary:
- Data engineering with pandas and PySpark
- Lakehouse solutions such as Databricks (Delta Lake)
- AWS services: Glue, Step Functions, Lambda, S3
- ETL with Informatica IDMC
- Working with XLSX, CSV, JSON, relational databases and cloud storage
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-12
- Source record updated
- 2026-10-15
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 |
| Hours per week | 36.25 |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Security clearance | Other clearance |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Source Code
| Field | Value |
|---|---|
| Open jobs on Jobsy | 655 |
RQ11099 - Sr. DataOps/Cloud Data Engineer
1-year 11-month contract (457 business days) - possible extension
ONSITE 5 days - 5700 Yonge St. Toronto'
Security Level: CRJMC
MUST HAVES:
· Data engineering (pandas, pyspark)
· Data lakehouse solutions such as Databricks (Delta Lake).
· Working with XLSX, CSV, JSON files, relational databases, cloud storage, structured and unstructured data
· Experience using AWS Services such as Glue, StepFunctions, Lambda, S3
· Extract/Transform/Load data using tools such as Informatica IDMC
Responsibilities:
Design, develop, test, implement, and troubleshoot:
· data pipelines using various tools such as Databricks, Azure Data Factory, AWS Glue
· complex data transformation procedures
· data models for data warehouses and lakehouses
AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.
Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.
INCORPORATED RATE RANGE (7.25 billable hours per day)
- $85.35/hr - $102.42/hr Inc.
T4 RATE RANGE (7.25 billable hours per day)
- $68.28/hr - $81.94/hr T4
Journal
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