Senior Data Engineer (GCP)

We are working with a well-established organization seeking an experienced Senior Data Engineer to support the design, build, and optimization of large-scale data platforms. This role is highly hands-on and suited to someone who has built end-to-end data pipelines across both batch and real-time workloads in cloud-native environments. Hours per week: 40 Start Date: January Length of Contract: Minimum 6 months with likely extension Onsite requirements: 2 days per week in Charlotte, 3 days remote Required / Core Skills • Strong experience as a Data Engineer in cloud-based environments • Solid hands-on experience with Google Cloud Platform (GCP) • Strong experience with BigQuery, including data modeling and performance optimization • Proficient Python experience for building and maintaining data pipelines • Experience building streaming and batch data pipelines (for example using Pub/Sub, Kafka, or similar technologies) • Strong SQL skills for data transformation and analytics use cases • Experience orchestrating workflows using Apache Airflow (or Cloud Composer) • Experience working with modern data architectures and end-to-end pipelines Preferred Skills • Exposure to Dataflow, Dataproc, or Apache Beam • Experience with Databricks or Spark / PySpark • Infrastructure-as-Code experience using Terraform • CI/CD exposure for data engineering workflows • Containerization experience with Docker and Kubernetes • Monitoring and observability tools such as Prometheus or Grafana • Exposure to other cloud platforms (AWS or Azure)