Data Engineer

Overview

Data Engineer passionate about building and scaling Data Analytics as a Service (DAaaS) offerings. Work at the intersection of data engineering and data science, enabling rapid development, testing, and deployment of insights and predictive models by ensuring clean, reliable, and well-structured data is readily available.

Key Responsibilities

• Design and build scalable data pipelines to support data science use cases, including feature engineering, model training, and real-time inference
• Collaborate closely with data scientists, ML engineers, and analysts to understand data requirements and deliver production-ready datasets
• Structure and maintain analytics-ready data models optimized for performance, scalability, and reuse
• Design and support the data layer of a self-service analytics and modeling platform
• Operationalize outputs from data science, including storing model results, tracking predictions, and supporting feedback loops
• Build automation tools and frameworks for data science workflows, such as feature stores, experiment tracking, and model evaluation pipelines
• Work with infrastructure teams to ensure scalable deployment of data services supporting analytics and ML
• Maintain strong data quality, governance, and documentation

Required Skills & Experience

• 5+ years as a Data Engineer, Analytics Engineer, or similar role
• Strong proficiency in SQL and Python for building and orchestrating data workflows
• Experience building infrastructure for data science platforms
• Experience with modern data stack tools
• Deep understanding of data modeling for analytics and machine learning applications
• Hands-on experience with cloud-based data warehouses and object storage
• Experience with Databricks
• Familiarity with machine learning workflows, including feature pipelines, training/inference data prep, and model outputs
• Strong focus on automation, reusability, and modular design
• Comfortable working in cross-functional teams
• Understanding of data privacy, security, and compliance considerations
• Outstanding problem-solving and communication skills

Education & Requirements

• Bachelor's degree in Computer Science, Mathematics, or comparable discipline
• Must have or be willing to obtain Secret Clearance (requires US Citizenship)
• Must successfully pass drug test and background screening

Location

Oklahoma City, OK (hybrid, 2-3 days/week onsite) or remote with occasional travel