*Eligible applicants must be United States Citizens with the ability to obtain a government security clearance. Role Overview We are seeking a skilled and driven Data Engineer to support the design, build, and maintenance of scalable data pipelines and integration solutions supporting a federal client. This role will focus on building and optimizing ETL/ELT workflows across the data lake, data warehouse, and analytics platform - leveraging AWS, Databricks, and Apache Spark. Key Responsibilities - Design, build, and maintain scalable data pipelines, ETL/ELT processes, and integration workflows - Develop transformations and curated datasets using Databricks, Apache Spark, and SQL - Support ingestion, processing, and delivery of structured, semi-structured, and unstructured data - Build and optimize workflows across data lake, data warehouse, and analytics platforms - Implement data quality checks, validation rules, and operational monitoring across pipelines and datasets - Improve performance, reliability, scalability, and security of data processing solutions - Support cloud-based data engineering solutions in AWS, including storage and data service integration - Collaborate with engineers, architects, analysts, and stakeholders to implement technical requirements - Support Big Data, Advanced Analytics, and Machine Learning use cases from a data engineering perspective - Maintain documentation for pipelines, transformations, data flows, and operational procedures - Support code versioning, CI/CD, and controlled deployment of data engineering assets - Troubleshoot pipeline, data, and platform issues across development, test, and production environments Qualifications Education & Experience Requirements: - Minimum of 4 years of professional experience in data engineering or a closely related role. - Bachelor's Degree in Computer Sciences, Information Systems, Engineering, or a related field. - Advanced degree or relevant professional certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer, Azure Data Engineer Associate) preferred.