Data Engineer Journeyman designs, builds, and operates scalable data pipelines and platforms that ingest, process, and store structured and unstructured data to support mission-critical use across the enterprise data environment. Leveraging modern batch and streaming frameworks, this role develops optimized data models, transformation logic, and storage solutions enabling analytics, reporting, and advanced data use cases for business and technical stakeholders. The Data Engineer Journeyman also implements data quality, lineage, governance, and security and compliance practices in a highly regulated federal data context. This position collaborates with data scientists, analysts, and security stakeholders to understand data requirements, refine data workflows, and continuously improve platform reliability, performance, and resilience. The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and contributes to modernization and automation of data engineering processes across the client environment. Key responsibilities include designing, developing, and maintaining batch and streaming pipelines using Spark, Kafka, or cloud-native services; building and optimizing data models and schemas (star, snowflake, normalized); implementing data validation, profiling, and monitoring; designing and tuning storage platforms; establishing metadata management and data lineage tracking; applying secure data engineering practices; automating CI/CD workflows with Git, Terraform, and containerization; troubleshooting pipeline failures and performance bottlenecks; co

Data Engineer Journeyman designs, builds, and operates scalable data pipelines and platforms that ingest, process, and store structured and unstructured data to support mission-critical use across the enterprise data environment. Leveraging modern batch and streaming frameworks, this role develops optimized data models, transformation logic, and storage solutions enabling analytics, reporting, and advanced data use cases for business and technical stakeholders. The Data Engineer Journeyman also implements data quality, lineage, governance, and security and compliance practices in a highly regulated federal data context. This position collaborates with data scientists, analysts, and security stakeholders to understand data requirements, refine data workflows, and continuously improve platform reliability, performance, and resilience. The engineer troubleshoots pipeline issues, documents data architecture and pipelines, and contributes to modernization and automation of data engineering processes across the client environment. Key responsibilities include designing, developing, and maintaining batch and streaming pipelines using Spark, Kafka, or cloud-native services; building and optimizing data models and schemas (star, snowflake, normalized); implementing data validation, profiling, and monitoring; designing and tuning storage platforms; establishing metadata management and data lineage tracking; applying secure data engineering practices; automating CI/CD workflows with Git, Terraform, and containerization; troubleshooting pipeline failures and performance bottlenecks; co