Why This Role Stands Out
This hybrid Data Engineer + AI/ML role at QUANTUM TECHNOLOGIES LLC offers a fantastic opportunity to advance your skills in a cutting-edge field with a competitive hourly rate of USD 92-105. You'll thrive here if you're a mid-senior level professional eager to contribute to impactful projects and grow within a reputable technology company. Apply now to leverage your expertise and shape the future of AI/ML!
Quick Overview
Job Description
Job Title: Data Engineer + AI/ML
Location: Remote
Duration: 6 Months + Extension
Bill Rate: $92-$105/hour
Job Type: W-2 Contract
Client: To Be Discussed Later
Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD
Job Summary:
- Design, develop, and optimize scalable data pipelines using Snowflake, dbt, SQL, and Python.
- Build and maintain data models, ETL/ELT workflows, and data transformation frameworks.
- Develop and optimize Snowflake data warehouses for performance, scalability, and cost efficiency.
- Create reusable dbt models, macros, tests, and documentation to support analytics and reporting.
- Collaborate with business, analytics, and engineering teams to gather and implement data requirements.
- Implement data quality, governance, monitoring, and lineage best practices.
- Integrate structured and unstructured data sources for analytics and AI/ML use cases.
- Support AI/ML initiatives by preparing feature datasets, enabling model training, and deploying data solutions.
- Develop and maintain APIs and data services to support AI/ML applications and automation.
- Troubleshoot production issues and optimize data platform performance.
- Strong experience with Snowflake, dbt, SQL, and Python.
- Hands-on experience building enterprise-scale ETL/ELT pipelines.
- Experience with data modeling, performance tuning, and query optimization.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Experience with CI/CD, Git, and Agile development practices.Understanding of data governance, security, and access controls.
SKILLS_REQUIRED
- Snowflake, DBT, SQL, Python, AI/ML, GenAI, RAG, Vector Database
Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
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