Data and Analytics AI Engineer
On-siteTulsa, Oklahoma, United States
Job Summary
Design, develop, and maintain enterprise data pipelines, ETL/ELT processes, and integrations across ERP, CRM, finance, and manufacturing systems. Administer and optimize SQL Server environments while supporting audit, compliance, and security activities. Build enterprise reporting dashboards using Power BI and SSRS, define KPIs, and develop self-service BI capabilities. Identify and implement automation opportunities using Power Automate and generative AI solutions. Support Azure Data Platform and Microsoft Fabric operations, including security, identity management, and technical documentation. Mentor analysts and participate in architecture reviews to translate business objectives into technical solutions.
Required Qualifications
- Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience
- 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles
- Expert-level proficiency in SQL Server and T-SQL
- Experience with Oracle or other relational database platforms
- Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers
- Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau)
- Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects
- Proficiency in one or more programming languages (e.g., C#, Python)
- Experience with data governance, security, and audit compliance practices
- Working knowledge of cloud platforms (Azure preferred) and modern data architectures
- Strong analytical thinking, problem-solving, and communication skills
- Must be able to lift up to 10 lbs
- Occasional climbing
- Occasional stooping
- Sitting for prolonged periods
Desired Qualifications
- Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures
- Experience with Python and Spark/PySpark for large-scale data processing
- Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents)
- Experience with Power Platform and Power Automate workflow development
- Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps)
- Microsoft Azure, Fabric, or Power Platform certifications
- Experience supporting manufacturing or industrial operations
- Experience leading, managing, or mentoring technical teams
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