Senior Data Engineer

CGI Group, Inc. is hiring a Senior Data Engineer for a remote role based in Oregon (remote within the USA). In this position, you will help ensure the reliability of enterprise data platforms and ETL/ELT pipelines through end-to-end testing, SQL-based validation, and data quality testing, while participating in Agile/Scrum delivery activities.

What you’ll do

• Design, develop, and execute test plans, test scenarios, and test cases for enterprise data platforms, ETL/ELT pipelines, and data integration solutions.
• Run end-to-end ETL testing and validate data accuracy, completeness, transformation logic, reconciliation, and data quality across source and target systems.
• Develop and execute complex SQL queries for backend testing and data validation.
• Test large-scale data processing solutions using Databricks, Apache Spark, PySpark, Python, Hive, Hadoop/HDFS, and Azure Data Factory (ADF).
• Perform functional, integration, regression, system, and data quality testing across data pipelines and applications.
• Validate batch processing, job scheduling, dependencies, and workflow execution using Control M and Unix/Linux environments.
• Identify, document, track, and retest defects in collaboration with developers, data engineers, business analysts, and other stakeholders.
• Develop and maintain reusable test scripts and automation solutions where applicable.
• Participate in Agile/Scrum activities including sprint planning, refinement, daily stand ups, reviews, and retrospectives.

What you bring

• 8+ years of experience in software quality engineering/testing, including strong ETL testing, data validation, integration testing, and regression testing.
• Strong hands-on SQL skills, including writing complex queries for source-to-target validation, reconciliation, and data quality testing.
• Experience testing large-scale data platforms and ETL/ELT pipelines.
• Hands-on experience with Databricks, Apache Spark, PySpark, Python, and Azure Data Factory (ADF).
• Experience with Hadoop ecosystem technologies, including Hadoop/HDFS and Hive.
• Experience working with Unix/Linux environments and enterprise job scheduling tools such as Control M.
• Strong understanding of data quality concepts, data transformations, data mappings, and source-to-target validation.
• Experience with defect management and test management processes in Agile/Scrum environments.
• Strong analytical, troubleshooting, communication, and collaboration skills.

Technology focus

• Databricks
• Apache Spark
• PySpark
• Python
• SQL
• Hive
• Hadoop/HDFS
• Azure Data Factory (ADF)
• Control M
• Unix/Linux
• Agile/Scrum

Compensation and location

Location: Oregon (remote within the USA)

Salary: USD 62,900 - 139,300 per year

Minimum experience: 8 years

Benefits

• Competitive compensation including a profit participation program
• Comprehensive medical, dental, and vision benefits
• Basic life and accidental death & dismemberment insurance
• 401(k) plan with matching contributions and a CGI share purchase plan
• Paid accrued vacation leave ranging from 10 to 20 days per year based on job level, years of relevant prior experience, and years of service
• 10 paid holidays per year
• At least 80 consecutive hours of paid sick/safe leave (except where applicable state/local law requires more)
• Paid parental leave, ranging from 20 to 70 consecutive business days based on circumstances and applicable laws
• Bereavement leave, ranging from 1 to 7 days per year based on relationship
• Paid jury duty leave, up to time summoned
• Learning opportunities and tuition assistance
• Wellness and well being programs