Responsibilities: for the Data Cloud Engineer include: Design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse Analytics, Databricks, AWS Glue, and related cloud technologies Build and optimize large-scale data transformation processes utilizing PySpark, Spark SQL, Python, and cloud-native data services Develop ingestion frameworks supporting structured and unstructured data sources including databases, flat files, JSON, and REST APIs Implement data governance, quality, security, and monitoring processes including schema validation, RBAC, lineage tracking, logging, and alerting Support CI/CD implementation, cloud migration efforts, and collaboration with cybersecurity, DevOps, and engineering teams to ensure compliance with DoD security requirements Required Qualifications for the Data Cloud Engineer include: 10+ years of experience designing, developing, and supporting production-grade cloud data pipelines Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Databricks, AWS Glue, Redshift, Spark, PySpark, Spark SQL, Python, and SQL Experience implementing CDC, incremental loading strategies, data quality controls, schema management, CI/CD pipelines, and cloud-based data architectures Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field Active Secret Security Clearance required Qualifications: for the Data Cloud Engineer include: 10+ years of experience designing, developing, and supporting production-grade cloud data pipelines Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Databricks, AWS Glue, Redshift, Spark, PySpark, Spark SQL, Python, and SQL Experience implementing CDC, incremental loading strategies, data quality controls, schema management, CI/CD pipelines, and cloud-based data architectures Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field Active Secret Security Clearance required.