Data Engineer

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Data Engineer

@ CGI

Position Description:

Join a major federal technology modernization program and help transform how data powers mission-critical systems! As a Data Engineer, you'll design and optimize data pipelines that integrate legacy systems with modern platforms, enabling advanced analytics and AI-driven solutions. If you're passionate about building robust, scalable data architectures and working with cutting-edge tools, this is your chance to make an impact.

This position is located in our Lafayette, Louisiana office; however, a hybrid working model is acceptable.

Due to the nature of government contracts, US citizenship or Permanent Residence with is required.

Your future duties and responsibilities:

• Design, build, and maintain ETL/ELT pipelines for large-scale data integration. 
• Optimize data workflows using tools like Apache Airflow, Spark, Kafka, and Databricks. 
• Develop solutions for structured and unstructured data across data lakes and warehouses. 
• Collaborate with application and AI teams to ensure seamless data flow for APIs and ML models. 
• Implement data quality checks, versioning, and governance standards. 
• Support CI/CD processes for data engineering and ensure compliance with security and privacy requirements. 
• Troubleshoot and optimize performance for high-volume data processing.

Salary Range: $63,700.00 - $156,700.00

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Qualifications:

Required qualifications to be successful in this role:

• Experience: 3–5+ years in data engineering or backend data systems. 

Technical Skills: 

• ETL/ELT pipeline development using Airflow, Spark, dbt, Kafka, or similar tools.
• Strong proficiency in SQL and Python (or Scala).
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (Delta Lake, Lakehouse architecture).
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). 
• Strong understanding of data modeling, versioning, and orchestration.

Desired qualifications/non-essential skills required:

• Experience with real-time data processing and streaming architectures. 
• Knowledge of data governance, cataloging, and compliance frameworks (e.g., GDPR, HIPAA). 
• Exposure to MLOps or integration with AI/ML pipelines. 
• Background in performance optimization and cost-efficient cloud data solutions. 
• Experience in large-scale modernization projects in government or regulated environments.

Skills:

• Data Architecture
• Data Engineering
• Analytical Thinking

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How to Apply:

Apply online at https://www.cgi.com/en/careers

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