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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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