GCP Data Engineer - Contract - Charlotte

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

Length of Contract: Minimum 6 months with likely extension

Onsite requirements: 2 days per week in Charlotte, 3 days remote

Required / Core Skills

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Strong experience as a Data Engineer in cloud-based environments
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Solid hands-on experience with Google Cloud Platform (GCP)
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Strong experience with BigQuery, including data modeling and performance optimization
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Proficient Python experience for building and maintaining data pipelines
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Experience building streaming and batch data pipelines (for example using Pub/Sub, Kafka, or similar technologies)
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Strong SQL skills for data transformation and analytics use cases
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Experience orchestrating workflows using Apache Airflow (or Cloud Composer)
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Experience working with modern data architectures and end-to-end pipelines

Preferred Skills

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Exposure to Dataflow, Dataproc, or Apache Beam
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Experience with Databricks or Spark / PySpark
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Infrastructure-as-Code experience using Terraform
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CI/CD exposure for data engineering workflows
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Containerization experience with Docker and Kubernetes
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Monitoring and observability tools such as Prometheus or Grafana
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Exposure to other cloud platforms (AWS or Azure)



Those interested should apply to this advert with an up to date resume. We shall be in touch shortly.