Data Engineer + AI/ML

Role: Data Engineer + AI/ML

Location: Plano, TX (Onsite)

Duration: 6+ months contract

ROLE_DESCRIPTION

• 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 GCP.
• 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

DESIRABLE_SKILLS

UNIX, Control M, DataStage, FastAPI, Kafka, Airflow, Git, CI/CD