Data Engineer/Scientist

About the role

Bring your data engineering and data science experience to a top brand in Atlanta to build insights for stakeholders across the business. Build leading edge analytics models in the microbiology domain. If you are a person who is both technically adept and an excellent communicator who can take ownership of a mission critical data analysis platform, then this role is for you. This role is located at a client site in Atlanta, GA. A hybrid working model is acceptable. CGI fosters an ownership culture where you are invited to be an owner from day 1, benefit from collective success, shape company strategy, develop innovative solutions, build relationships, access global capabilities, and grow your career with supportive leaders focused on health, well‑being, and skill development.

Skills

• Data Engineering and ELT Pipelines – 3 years, Very Good
• Data Analysis – 3 years, Very Good
• Excellent Communication Skills – 3 years, Expert
• Databricks – 3 years, Very Good
• Python, SQL, Spark, AWS – 3 years, Very Good

Responsibilities

• Build and maintain data pipelines using Databricks, Python, SQL, and Spark
• Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation
• Develop datasets and workflows that support machine learning models and analytical use cases
• Build clear visualizations (Tableau) and communicate findings through effective data storytelling
• Collaborate with stakeholders to translate business problems into data driven solutions
• Develop data pipelines using AWS services
• Monitor and improve production data and machine learning workflows
• Ensure data quality, reliability, security, and performance

Requirements

• Strong experience with data engineering pipelines and ELT processes
• Excellent ability to develop and publish data analysis reports that satisfy requests from the business
• Ability to explain analytical findings and technical concepts to non‑technical stakeholders
• Proficiency in Python, SQL, Spark, and Databricks
• Experience with AWS services such as S3, Glue, Lambda, Athena, and Step Functions
• Hands‑on knowledge of exploratory data analysis, statistical testing, feature engineering, machine learning models, and evaluation metrics
• Experience with Pandas, NumPy, scikit‑learn, and visualization libraries such as Matplotlib, Seaborn, or Plotly
• Knowledge of Delta Lake, data modeling, data quality, and performance optimization
• Strong problem solving, communication, and learning skills

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 well‑being programs

Pay

A reasonable estimate of the current range for this role in the U.S. is $79,600.00 – $176,300.00.

Schedule

Hybrid working model is acceptable.