Senior Software Engineer - Data Engineering; GCP & AI

Position: Senior Software Engineer - Data Engineering (GCP & AI)
Title:

Senior Software Engineer - Data Engineering (GCP & AI)

Location:

300 S Brevard St Charlotte, NC

Duration: 12 months

Work Engagement: W2

Work Schedule:

3 days in office/2 days remote

Benefits on offer for this contract position:
Health Insurance, Life insurance, 401K and Voluntary Benefits

Summary:

In this contingent resource assignment, you may:
Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

Strategically collaborate and consult with client personnel.

About the Role:

We are seeking an experienced Senior Software Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and optimize scalable data warehousing solutions and AI-powered systems. You will play a critical role in developing robust data pipelines, modern data warehouses on GCP, and integrating AI/ML capabilities to deliver high-impact business value.

Key Responsibilities:

* Design, develop, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform.

* Build and optimize Data Warehouses and data lakes using various GCP services (Big Query, Cloud Storage, Dataflow, Dataproc, etc.).

* Leverage GCP native tools for orchestration, transformation, and data quality (Cloud Composer, dbt, Dataform, etc.).

* Integrate and product ionize AI/ML models using Vertex AI and other GCP AI services.

* Ensure high performance, reliability, cost-efficiency, security, and governance of data platforms.

* Collaborate with data scientists, analysts, and cross-functional teams to deliver end-to-end data and AI solutions.

* Monitor, troubleshoot, and optimize data pipelines and warehouse performance.

Qualifications:

Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.

* 7+ years of hands-on software engineering experience with a strong focus on data engineering.

* Extensive experience working on Google Cloud Platform (GCP) and building solutions using its data services.

* Strong practical knowledge of GCP data services including:

* Big Query (for data warehousing and analytics)

* Cloud Dataflow, Dataproc, or Data Fusion for ETL/processing

* Cloud Composer (Airflow) for orchestration

* Cloud Storage, Pub/Sub, Looker, etc.

* Solid understanding of Data Warehousing concepts, architecture, modeling (star/snowflake schema), and best practices.

* Proven experience working with Artificial Intelligence / Machine Learning, including model deployment and integration on GCP (Vertex AI is highly preferred).

* Proficiency in Python (and SQL) for data engineering and backend development.

* Strong experience in building production-grade, scalable, and cost-optimized data solutions.

Preferred Qualifications:

* Google Cloud Professional Data Engineer or Machine Learning Engineer certification.

* Experience with dbt, Dataform, or similar transformation tools on Big Query.

* Knowledge of MLOps practices, model monitoring, and RAG/LLM applications.

* Familiarity with containerization (Docker) and orchestration (Kubernetes/GKE).

* Experience in real-time streaming pipelines using Pub/Sub and Dataflow.