Senior Software Engineer – Data Engineering (GCP & AI) (contract)

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 (BigQuery, Cloud Storage, Dataflow, Dataproc, etc.).
• Leverage GCP native tools for orchestration, transformation, and data quality (Cloud Composer, dbt, Dataform, etc.).
• Integrate and productionize 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:
• BigQuery (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 BigQuery.
• 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.