Kforce has a client that is seeking a Data Engineer in Phoenix, AZ. This is a critical, hands-on role where you'll help build and support foundational data infrastructure. You'll be responsible for designing, implementing, and optimizing cloud-based data pipelines and storage solutions, while documenting processes and supporting cross-functional teams. Key Responsibilities: * Data Engineer will administer and optimize Amazon RDS for PostgreSQL: backups, tuning, replication, patching * Design secure, highly available PostgreSQL environments (cloud-native and hybrid) * Implement and support DynamoDB solutions with AWS Lambda/Kinesis integration * Build scalable ETL pipelines using Azure Data Factory * Ingest data from Oracle, SQL Server, and flat files into AWS * Develop and maintain data lakes on AWS S3 * As a Data Engineer, you will automate ETL/ELT processes using Python, shell scripts, and cloud-native tools * Collaborate on CI/CD, infrastructure as code (Terraform/CloudFormation), and Git workflows * Enable BI and analytics access to structured/semi-structured data * Participate in Agile ceremonies and contribute to best practices in data engineering