Senior Data Engineer

Overview We are seeking a Senior Data Engineer to support a high-impact Connectivity project, focused on building and maintaining scalable data pipelines that ingest, clean, transform, and integrate both structured and real-time streaming data. This role partners closely with Data Scientists to deliver production-ready datasets that power advanced analytics and machine learning models. Key Responsibilities • Design, build, and maintain robust data pipelines for both batch and real-time data ingestion, including structured sources and raw streaming data from Kafka • Clean, transform, and standardize incoming data to ensure high-quality, analytics-ready datasets • Integrate curated data pipelines with machine learning models developed by Data Science teams • Develop and optimize workflows using Apache Airflow for scheduling and orchestration • Build cloud-native data solutions leveraging AWS, including S3, Kubernetes, and related services • Write high-quality, scalable code in Python and Scala • Support deployment, monitoring, and performance tuning of data pipelines in production environments • Collaborate cross-functionally with Data Scientists, Software Engineers, and Product teams to align data solutions with business needs Required Qualifications • 5–7+ years of experience as a Data Engineer or in a similar role • Strong hands-on experience with Python and Scala • Experience working with AWS cloud services, specifically S3 • Expertise in Kubernetes for containerized workloads • Experience with Apache Airflow for workflow orchestration • Hands-on experience processing real-time streaming data (Kafka or similar) • Strong knowledge of data transformation, data quality, and pipeline optimization best practices • Ability to work onsite in Englewood, CO three days per week Preferred Qualifications • Master’s degree in Computer Science, Data Engineering, or a related field • Prior experience supporting data pipelines for machine learning or advanced analytics use cases • Experience working on connectivity, network, or platform-oriented data projects • Background in productionizing data solutions in complex enterprise environments This position pays $65/hr