Senior Data Engineer - Spark & AWS

DescriptionKforce 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 practicesRequirements* 5+ years of experience in Data Engineering or a related field* Strong experience developing distributed processing applications with Apache Spark* Experience with a second programming language such as Scala (preferred), Java, or another compiled language* Experience designing and building scalable ETL/ELT pipelines* Hands-on experience working with AWS cloud services* Experience with cloud-based data lakes and large-scale datasets* Strong understanding of distributed systems and data engineering best practices* Proficiency in PythonPreferred Qualifications:* Experience working with telemetry, log, or operational data* Experience supporting AI, machine learning, or anomaly detection initiatives* Experience working in Agile development environments* Familiarity with streaming data technologies* Knowledge of graph-based data models or network-related dataIf you're passionate about building scalable data platforms and want to contribute to innovative cloud and AI initiatives within a leading telecommunications environment, we'd love to connect with you.Job TypeContractCompensation65 - $75