Senior Data Analytics Engineer

Senior Data Analytics Engineer at CGI Group, Inc. in Reston, VA (hybrid) delivering enterprise data analytics and GenAI enabled reporting solutions in a regulated financial services environment, with a salary range of USD 89,600 to 139,300 per year.

Responsibilities

• Assist in delivering enterprise data analytics and GenAI enabled reporting solutions within a highly regulated financial services setting.
• Combine business focused user acceptance testing with data validation, analytics, API testing, and production readiness activities to ensure high quality data products before deployment.
• Work closely with developers, product owners, business stakeholders, QA teams, and analytics professionals to validate requirements, data pipelines, reports, APIs, and GenAI outputs.
• Lead or participate in end-to-end UAT activities.
• Validate SQL queries and data integrity across datasets.
• Validate REST APIs and API integrations, including nested JSON payloads.
• Verify JSON data structures to ensure compatibility with reporting solutions.
• Support analytics platforms hosted on AWS.
• Maintain data accuracy across reporting solutions and data products.
• Facilitate user onboarding and access to analytics resources.
• Prepare and maintain technical and user documentation.
• Lead knowledge transfer sessions and contribute to training materials.
• Provide ongoing production support to drive successful adoption of data driven solutions.

Requirements

• 5+ years of experience in data analytics, software development, data engineering, production support, monitoring, visualization, and enabling business outcomes.
• Strong track record in Business User Acceptance Testing (UAT), including test planning, execution, defect management, regression testing, and production readiness.
• Advanced SQL skills with the ability to validate complex datasets, perform source-to-target reconciliation, and troubleshoot data quality issues.
• Hands on experience with AWS based data and analytics environments.
• Experience validating REST APIs, nested JSON payloads, and API integrations using tools such as Postman and Swagger/OpenAPI.
• Proficiency in Python, including pandas, NumPy, and JSON processing for data validation and analytics workflows.
• Experience supporting GenAI enabled reporting solutions, including prompt assisted data extraction and validation of AI generated summaries, narratives, tables, and visualizations.
• Ability to analyze data trends, identify anomalies, and verify compliance with business rules before production releases.
• Familiarity with Agile delivery practices and collaboration tools such as Jira.
• Strong communication skills for direct interaction with business users, developers, QA teams, and product owners.
• Experience developing user documentation, onboarding materials, SOPs, and conducting knowledge transfer sessions.
• Understanding of data governance, model validation, and enterprise delivery standards within regulated industries, preferably financial services.
• Proven ability to provide production support and resolve issues during rollout and post deployment stabilization.

Technologies

• Python
• pandas
• NumPy
• JSON processing
• SQL
• Amazon Web Services (AWS)
• Postman
• Swagger/OpenAPI
• REST APIs

Benefits

• Competitive compensation
• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and wellbeing programs