Data Engineer

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
• Bachelor's degree in Computer Science, Engineering, Statistics, or related field
• 5+ years in data engineering and cloud integration
• 3+ years of experience with AWS data services and Azure Data Factory
• 3+ years of experience in data ingestion and automation using Python or Java
• 3+ years of hands-on experience with AWS (RDS, S3, Lambda, Kinesis, IAM, DynamoDB)
• 3+ years building pipelines with Azure Data Factory
• Experience with DevOps, CI/CD, Git, and data security best practices
• Deep expertise in PostgreSQL and RDS administration
• Familiarity with NoSQL systems (DynamoDB preferred)
• Strong SQL skills and working knowledge of Python or Java
• Proven ability to write efficient, optimized SQL queries
• Exposure to BI tools (Power BI, Qlik, Tableau), ML/AI, and data virtualization (e.g., Denodo) is a plus
• Bonus: Experience with Snowflake, DBT, or other modern data stack tools