Data Engineer

Kforce has a client in Phoenix, AZ who is seeking a Data Engineer to join their team. The Data Engineer is a hands-on technical role focused on designing, developing, and optimizing enterprise data solutions. This individual will play a key role in advancing modern data engineering, analytics, and cloud-based data platform initiatives. The ideal candidate will have experience building scalable data pipelines, data lakes, and data warehouses while collaborating closely with cross-functional teams to deliver high-quality data solutions. Responsibilities:

• Design, develop, and maintain data pipelines that ingest and process data from various structured and unstructured sources
• Build and optimize cloud-based data lakes and data platforms with a focus on scalability, performance, and reliability
• Develop data engineering and analytics solutions using modern cloud technologies and data processing frameworks
• Design, develop, and support enterprise data warehouse solutions and dimensional data models
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions
• Participate in data architecture discussions, system design, and technical planning activities
• Contribute throughout the software development lifecycle using Agile methodologies
• Design and implement Medallion Architecture frameworks (Bronze, Silver, Gold layers) to support enterprise data initiatives
• Develop conceptual, logical, and physical data models and maintain associated documentation
• Partner with technical and business teams to review data models, ensure data quality, and support governance initiatives
• Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or a related technical field
• Minimum 5 years of experience in data ingestion, extraction, integration, and transformation
• Experience working with cloud-based data and analytics platforms
• Strong experience building and optimizing scalable data pipelines
• Experience working with modern data warehouse and data lake architectures
• Proficiency with SQL and Python

• 7+ years of experience designing and developing enterprise data solutions
• 7+ years of experience with integration architectures, including APIs, microservices, ETL/ELT frameworks, or related technologies
• 5+ years of hands-on experience with cloud-based data engineering services
• Experience working with relational and NoSQL databases, content management systems, search technologies, and large-scale data platforms
• Experience with JSON, XML, and semi-structured data processing
• Experience using modern source control and version management practices (Git/GitHub)
• Strong understanding of database architecture, performance tuning, and optimization
• Experience supporting business intelligence and reporting solutions
• Exposure to machine learning and artificial intelligence initiatives
• Experience with modern data modeling and data warehouse design tools
• Knowledge of Snowflake, DBT, and cloud-native analytics platforms preferred
• Strong problem-solving skills with the ability to manage multiple priorities
• Ability to work effectively in a collaborative Agile environment
• Excellent verbal and written communication skills with a strong sense of ownership, urgency, and accountability