Technology and Data - Software Engineer 4 - Contingent

Artech LLC

CHARLOTTE, NC

JOB DETAILS
SALARY
$70–$75 Per Hour
SKILLS
Artificial Intelligence (AI), Best Practices, Cloud Computing, Cost Control, Cross-Functional, Data Analysis, Data Fusion, Data Management, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Docker, Engineering, GCP (Good Clinical Practices), Identify Issues, Leading Edge Technology, Machine Learning, Python Programming/Scripting Language, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Software Engineering, Star Schema, Team Player, Transformation Tools
LOCATION
CHARLOTTE, NC
POSTED
14 days ago

Introduction

We are seeking a highly skilled Software Engineer 4 for a contingent role in Charlotte, NC. This position offers a competitive salary range of $70-$75/hr on W2. The ideal candidate will have the opportunity to work on complex and impactful projects, contributing to the delivery of high-value data engineering solutions.

Required Skills & Qualifications

  • 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, Cloud Dataflow, Dataproc, or Data Fusion for ETL/processing, and Cloud Composer (Airflow) for orchestration.
  • 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.
  • Prior work experience at client or in client's industry.

Applicants must be able to work directly for Artech on W2.

Preferred Skills & 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.

Day-to-Day 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.
  • Integrate and productionize AI/ML models using Vertex AI and other GCP AI services.
  • 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.

Company Benefits & Culture

  • Opportunities to work on cutting-edge technology and innovative projects.
  • Collaborative and inclusive work environment.
  • Competitive compensation package.

For immediate consideration please click APPLY to begin the screening process with Alex.

About the Company

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Artech LLC