AI Data Engineer

About Novus

Founded in 2020, Novus Consulting is a high caliber energy consulting firm established on the principle that our clients need a trusted partner who can navigate the complexities of the energy sector while providing solutions that drive results. Headquartered in Oklahoma City, with consultants sitting in Oklahoma, Texas, Colorado, Pennsylvania and Arkansas, we advise a range of clients from independent E&Ps to Fortune 500s. Focused on serving both our clients and our employees, we pride ourselves on providing our clients with top-tier service while offering our employees the flexibility required to excel both personally and professionally. Committed to continued excellence, we are actively seeking a highly skilled Artificial Intelligence (AI) Data Engineer to join our growing team. This position will be hybrid with travel to client sites up to 50% of the time.

Grow with Novus

As an AI Data Engineer, you will be responsible for building and maintaining data pipelines optimized for AI workloads. You will work at the intersection of traditional data engineers and MLOps, enabling scalable, automated, and production-ready data systems. Understanding the unique operations workflows of exploration, drilling, production, and other functional areas in the oil and gas industry – you can translate those needs into scalable digital solutions. This role is ideal for someone with strong experience in cloud-based data engineering, feature engineering, and supporting the full lifecycle of AI/ML models. If this sounds like you – let’s talk!

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Key Responsibilities

• Design, build, and maintain scalable data pipelines tailored for machine learning and AI applications
• Prepare, clean and transform structured and unstructured data for model training, inference, and deployment
• Develop and automate data ingestion and feature engineering processes to support predictive and generative AI models
• Build and manage feature stores and vector databases to support real-time and batch AI workflows
• Implement robust data workflows and pipelines that support AI/ML models in production environments (MLOps)
• Collaborate with data scientists to operationalize models and monitor performance, including model drift and data integrity
• Optimize data pipelines and models for performance, scalability, and reliability in cloud environments (AWS, Azure, GCP)
• Monitor and ensure data quality, consistence, and performance across AI systems

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Qualifications

• Bachelor’s degree in Information Technology, Computer Science, or relevant work experience
• 5+ years of experience in data engineering, with at least 2 years focused on AI/ML workloads
• Strong proficiency in Python, SQL, and cloud platforms (AWS, Azure, or GCP)
• Experience with data pipeline tools (Apache Airflow, Spark, Databricks)
• Familiarity with MLOps frameworks and tools (MLflow, Kubelow, Vertex AI)
• Hands-on experience with feature stores, vector databases, and scalable data architecture
• Solid understanding of machine learning workflows and how data supports model lifecycle
• Knowledge of data governance and compliance in AI systems
• Familiarity with containerization and orchestration tools like Docker
• Familiarity with upstream or midstream systems and concepts is preferred
• Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders
• Experience working multiple projects (splitting time) while meeting deadlines
• Ability to travel to client sites on an as-needed basis

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What We Provide (W2 Employees)

• Work on diverse, high-impact projects
• Collaborate with a team of smart, driven professionals
• Excellent benefits including healthcare and a 401K matching program
• Semi-annual discretionary bonus
• Continuous commitment to employee satisfaction provides our team with the flexibility needed to thrive professionally and personally including options for hybrid/remote work and a progressive PTO policy

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Novus Consulting LLC is committed to providing a work environment free from discrimination and harassment. It is our policy to comply with all applicable federal, state, and local laws prohibiting employment discrimination. All employment decisions are based on business needs, job requirements, and individual qualifications without regard for race, color, religion, sex, sexual orientation (including gender identity and/or expression), pregnancy, national origin, age, disability, veteran status or any other factors protected by the laws or regulations in the states where we operate. We are committed to supporting a variety of recruiting initiatives to continue building a diverse and inclusive organization.

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