Senior Data Engineer - Spark & AWS

Kforce has a client in the telecommunications industry that is seeking an experienced Senior Data Engineer in Greenwood Village, CO to join a high-impact engineering team developing enterprise-scale data solutions. This role offers the opportunity to work on modern cloud technologies, large-scale data processing, and AI-driven analytics that support mission-critical business initiatives. If you enjoy solving complex data challenges, building scalable data pipelines, and working with cutting-edge cloud and big data technologies, we'd love to hear from you.

Overview: As a Data Engineer, you will build and optimize the data infrastructure that powers the platform's analytics capabilities. You'll design scalable data pipelines, develop distributed processing jobs, and ensure high-quality data is available to support AI-driven anomaly detection and advanced analytics. This role is ideal for engineers who enjoy working with large datasets, cloud technologies, and modern data engineering frameworks.

Responsibilities:

• Design, build, and maintain scalable data pipelines that ingest telemetry, log, and configuration data
• Develop distributed data processing applications using Apache Spark
• Build and optimize ETL/ELT workflows within a cloud-based data lake
• Collaborate with Data Scientists and AI Engineers to prepare and deliver data for analytics and machine learning workloads
• Optimize pipeline performance, scalability, and reliability
• Ensure data quality through monitoring, validation, and troubleshooting
• Partner with Platform Engineering to deploy and support data processing applications in AWS
• Contribute to data architecture decisions and engineering best practices