Senior Data Engineer TS/SCI with Poly REQUIRED

About the role

CGI Federal is seeking a Data Engineer to lead state-of-the-art solutions for an intelligence community mission system. The ideal candidate is a creative, visionary problem solver with a passion for delivering cutting-edge solutions.

Responsibilities

• Work in cross-functional engineering and product development teams to derive actionable insights from data at all stages of the analysis lifecycle.
• Design, develop, and maintain robust and scalable data pipelines to support various business needs.
• Implement and optimize ETL processes to efficiently transform and load data from different sources.
• Ensure data quality and integrity through data validation, cleansing, and monitoring.
• Collaborate with the Development team to deploy and manage machine learning models in production environments.
• Support the development of AI/ML based pipelines for data inference.
• Analyze complex datasets, detect trends and patterns, develop conclusions, and provide recommendations to improve data ingestion, increase data scaling, and enhance data exploitation to ensure more interoperable and secure data.
• Collaborate with analytics teams and SMEs to improve data models that feed business intelligence tools, increasing data accessibility and encouraging data-driven decision-making across the organization.

Requirements

• BS or MS degree in Computer Science, Engineering, Information Technology Management or related technical field.
• 7+ years of experience obtaining data from multiple, disparate data sources including structured, semi-structured and unstructured data.
• Knowledge of common algorithms (e.g., linear regression, decision trees, NLP).
• Proficiency in tools and languages such as Graph DBs, PostgreSQL/SQL, Python, or Java.
• Experience using ML algorithms packages contained in AWS SageMaker or open-source libraries (Python, Java, C++, etc.).
• Experience developing, verifying, and monitoring AI/ML Models.
• Familiarity with DevOps processes and code versioning tools such as git.

Desired qualifications

• Master's degree in Computer Science, Engineering, Information Technology Management or related technical field.
• Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data.
• Familiarity with industry best practices for software/hardware development when processing large data sets.
• Experience with Hadoop, Spark, or other parallel computing processes.
• Experience with developing data processing workflows using the Joint Enterprise Modeling and Analytics (JEMA) framework or Apache NiFi.
• Experience in AWS services including but not limited to EC2, Sagemaker, S3, EMR, and IAM.

Pay

A reasonable estimate of the current range for this role in the U.S. is $89,600.00 - $218,200.00.

Schedule

The position is located in Dayton, OH.