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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** CGI Technologies and Solutions, Inc. - **Location:** Baltimore, MD, United States - **Experience:** Expert - **Salary:** $89,600.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Code Review, Databases, Continuous Integration, Data Validation, Data Dictionary, Data Governance, Extract Transform Load (ETL), DevOps, Distributed Data Store, Fraud Prevention and Detection, Github, Revision Control Systems, Python (Programming Language), NumPy, Software Construction, SQL Databases, Management of Software Versions, Workflow Management Systems, Data Logging, Data Processing, Freeform SQL, Google Cloud, Feature Engineering, System Availability, Snowflake, Pandas, Containerization, Kubernetes, Infrastructure Automation Frameworks, Bitbucket, Software Version Control, Docker, Amazon Redshift - **Published:** August 4, 2026 - **Apply:** https://dejobs.org/x/x/E4C7768DEE5542669AEACDC65F0F6BEB/job/ ## About the Role Ability to obtain and maintain an Agency Public Trust clearance. . Bachelor's degree and 7+ years of relevant experience. . Expertise in SQL and ETL workflows with experience in distributed database technologies (Redshift, Snowflake, BigQuery). . Experience with Apache Airflow or similar orchestration frameworks. . Strong Python development skills, especially with pandas, NumPy, and automation libraries. . Hands on experience building data quality checks and validation frameworks. . Familiarity with GitHub, Bitbucket, or similar version control tools. . Knowledge of logging, m Desired qualifications/non essential skills required: . Experience supporting federal agencies, particularly in fraud or anomaly detection. . Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). . Exposure to CI/CD, DevOps practices, and infrastructure as code. . Knowledge of data governance, PII handling, and federal security standards. . Experience with model documentation, feature tracking, and model lifecycle management., * Database * GitHub * Python * Software Versioning Systems * SQL ## Description CGI Federal is seeking a Data Engineer to support a federal agency in modernizing its fraud control strategy. This senior technical role is part of a high impact team responsible for redesigning and optimizing fraud detection pipelines and workflows that safeguard federal benefits and adapt to evolving data sources. You will lead the design and implementation of scalable, secure, and flexible data engineering solutions while collaborating closely with data scientists, analysts, and federal stakeholders to ensure the iClaim model infrastructure is robust, adaptable, and future ready., Engineer, transform, and manage large datasets from diverse sources while ensuring data integrity, reliability, and consistency. . Design, optimize, and maintain complex SQL queries for ETL operations across distributed databases. . Develop and automate ETL pipelines using platforms such as Apache Airflow, ensuring high availability and resilience. . Write modular, well documented Python code for data processing, feature engineering, and workflow orchestration. . Implement comprehensive data validation, cleansing, and quality checks throughout all pipeline stages. . Apply software engineering best practices including version control, code reviews, logging, monitoring, and error handling. . Collaborate with data scientists to optimize model pipelines for performance, maintainability, and scalability. . Prepare and maintain technical documentation such as data dictionaries, model specs, workflow guides, and architectural artifacts. . Support Agile development cycles and contribute to the documentation and refinement of model workflows and data processes. . 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