Data Engineer

Kforce has a client that is seeking a Data Engineer in Chandler, AZ. Overview We are looking for a Data Engineer III to join an Enterprise Data team focused on modernizing and consolidating cloud-based data platforms. In this role, you will design and optimize scalable data pipelines, ingestion frameworks, and data models that support analytics, reporting, operational insights, and near real-time data delivery. If you enjoy solving complex technical challenges, collaborating with cross-functional partners, and building reliable data infrastructure that drives decision-making, this role will be a strong fit. What You Will Do:

• Design, build, and optimize scalable, reliable data pipelines and ETL/ELT processes
• Build and enhance data ingestion frameworks using AWS services (e.g., Glue, DataSync) and platforms such as Snowflake and dbt
• Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
• Troubleshoot and resolve issues across pipelines, ingestion jobs, and data workflows
• Develop and maintain data models to support analytics, reporting, and cross-functional business needs
• Ensure adherence to data governance, compliance requirements, and security best practices
• Monitor and tune performance of the data ecosystem; Proactively identify bottlenecks and recommend improvements
• Partner with engineering and business stakeholders to translate requirements into scalable data solutions
• Support onboarding/integration of operational/QoS-style telemetry datasets to enable improved near real-time visibility
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
• 5+ years of data engineering experience designing and supporting scalable data solutions
• Strong proficiency in Snowflake, dbt, SQL, and Python
• Experience with modern ETL/ELT frameworks, data pipeline design, and data modeling
• Experience with streaming and batch ingestion technologies such as Kafka and NiFi/Apache Flow-based tools
• Hands-on experience with AWS data services and performance-tuning practices
• Ability to translate business needs into scalable data architectures
• Strong communication skills - able to explain deliverables, analyses, and issues clearly to technical and non-technical audiences
• Strong organizational skills; Able to set priorities, manage bandwidth, and drive ownership of assigned work