Principal Engineer Data

What you'll do

• Design and maintain scalable data pipelines and ETL processes across multiple data sources.
• Build and optimize data models for analytics, reporting, and end-user consumable data products.
• Implement robust data quality, validation, and monitoring frameworks to ensure reliability of insights.
• Develop and maintain Tableau dashboards and ad-hoc querying tools for stakeholders.
• Deploy AI/ML models to production, including classical ML, deep learning, and LLM-enabled solutions.
• Integrate AI/ML capabilities into enterprise software systems through APIs, services, and production deployment patterns.
• Establish responsible AI practices, model governance, and predictive modeling in alignment with security policies.
• Provide technical leadership through design reviews, prototyping, and mentoring engineers on cross-team technical alignment.

What we're looking for

• Must have a Bachelor's degree in a STEM field with 5 years of experience, a Master's with 3 years, or a PhD with 1 year.
• Must possess an active US Government Secret clearance with the ability to obtain special program access.
• Must be a US Citizen.
• Must have experience with Python, GIT, Command Line, SQL Servers, Databricks, Oracle, Dagster, Tableau, Excel, Visual Studio, FastAPI, Azure, SQL Alchemy, pytorch, scikit-learn, pillow, and torchvision.
• Must have experience with data architecture, data models, physical database designs, data integration strategy, and systems integration.
• Must have experience with SQL Server and proficiency in data visualization tools like Tableau or Power BI.
• Must have applied AI/ML engineering experience delivering models to production, including classical ML, deep learning, and LLM-enabled solutions.
• Experience with modern data orchestration tools like Airflow (preferred).