IntelliTech

Data Engineer

• Design, develop, and maintain scalable data pipelines to ingest, transform, validate, and operationalize data from a variety of enterprise sources
• Build and support data integration workflows across structured and unstructured data sources, including APIs, files, cloud storage, databases, and enterprise platforms
• Enable analytics and reporting use cases by preparing curated datasets and supporting integration with BI and analytics tools such as Tableau, Databricks, Palantir, Power BI, Qlik, or similar platforms
• Support the development of data models, transformation logic, and reusable engineering patterns that improve data access, decision support, and operational visibility
• Collaborate with analysts, engineers, and stakeholders to refine requirements and deliver data products aligned to mission needs
• Support testing, debugging, validation, and performance tuning of data pipelines and analytics workflows
• Leverage Git-based repositories and version control best practices to manage engineering efforts
• Participate in Agile development activities, including sprint planning, backlog refinement, demos, and retrospectives
• Document technical designs, data flows, transformation logic, and engineering processes to support maintainability and knowledge transfer
• Contribute to secure, scalable, and repeatable delivery practices across cloud and DevSecOps environments.

Senior Data Engineer – Analytics, BI Platforms