Senior Data Engineer (GCP)

Tenth Revolution Group; United States; Hybrid; USD 82,656 - 96,432; Full time

Job summary

A leading staffing firm is seeking an experienced Senior Data Engineer to support the design, build, and optimization of large-scale data platforms. This role requires strong experience in cloud-based environments, particularly with Google Cloud Platform and proficiency in Python. Ideal candidates should be capable of building streaming and batch data pipelines and have strong SQL skills. The position is contract-based, with onsite requirements in Charlotte and pays approximately $60-$70 per hour.

Qualifications

• Strong experience as a Data Engineer in cloud-based environments.
• Solid hands-on experience with Google Cloud Platform (GCP).
• Proficient Python experience for building and maintaining data pipelines.

Responsibilities

• Support the design, build, and optimization of large-scale data platforms.
• Build end-to-end data pipelines across both batch and real-time workloads in cloud-native environments.

Skills

Data Engineering in cloud-based environments

Google Cloud Platform (GCP)

BigQuery

Python for data pipelines

Building streaming and batch data pipelines

SQL for data transformation

Apache Airflow

Tools

Terraform

Docker

Kubernetes

Job description

Tenth Revolution Group provided pay range

This range is provided by Tenth Revolution Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $70.00/hr

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.

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 casesi>
• 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
• Containerization experience with Docker and Kubernetes
• Monitoring and observability tools such as Prometheus or Grafana
• Exposure to other cloud platforms (AWS or Azure)

Seniority level

Mid-Senior level

Employment type

Contract

Job function

Consulting

Industries

Staffing and Recruiting