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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Integration Engineer - Mid-Level - **Company:** Peraton Inc - **Location:** Reston, VA, United States - **Experience:** Experienced - **Salary:** $86,000.0 - $138,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Application Integration Architecture, Microsoft Azure, BigQuery, Cloud Computing, Information Systems, Databases, Data as a Services, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Digital Assets, Dimensional Modeling, Document-Oriented Databases, Human Resources Information System (HRIS), PostgreSQL, Microsoft SQL Server, Power BI, SQL Databases, Talend, Unstructured Data, Management of Software Versions, Enterprise Data Management, Azure Data Factory, Informatica Powercenter, Data Lakes, AI Platforms, Information Technology, Data Analytics, Data Management, Azure Synapse Analytics, Data Pipelines, Automation Anywhere, Api Management, Alteryx - **Published:** June 18, 2026 - **Apply:** https://diversityjobs.com/career/17289593/Data-Ai-Integration-Engineer-Mid-Level-New-Jersey-Basking-Ridge ## About the Role * Bachelor's degree in computer science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a closely related field * 5-7 years of progressive, hands-on experience in data analytics, data engineering, or a closely related discipline * Demonstrated experience delivering data solutions in support of government, defense, or large-scale enterprise programs * SQL & Databases: Strong command of SQL and experience with relational databases (e.g., PostgreSQL, Microsoft SQL Server) * ETL / ELT Pipelines: Hands-on experience designing and implementing data pipelines using tools such as Apache Airflow, Informatica, Talend, dbt, or equivalent * Cloud Platforms: Experience with AWS, Microsoft Azure, including managed data services (Azure Synapse, BigQuery) * BI & Visualization: Proficiency with Power BI, Alteryx, or equivalent business intelligence tools * Data Warehousing: Familiarity with data warehousing concepts, dimensional modeling, and data lake architecture (ADLS, ADF) * Must be a US citizen willing to obtain and maintain a TS/SCI security clearance, * Experience navigating shared infrastructure models - consuming centrally managed data platforms without owning the underlying infrastructure * Prior experience working with or alongside a CIO office or enterprise IT governance function in a consumer/integrator capacity * Knowledge of NIST AI Risk Management Framework (AI RMF) and its data-related implications * Relevant certifications: Microsoft Certified: Azure Data Engineer Associate, dbt Certified Developer, CDMP (Certified Data Management Professional), or equivalent * Active TS/SCI security clearance ## Description Peraton is seeking a skilled and motivated Lead Data & AI Analyst / Engineer to join our organization to support Peraton corporate data and AI knowledge strategy. You will serve as a technical lead and subject matter expert, collaborating closely with corporate stakeholders, data architects, and cross-functional teams to deliver high-quality, secure, and data and knowledge products that further Peraton corporate growth and business acquisition processes. This mid-level role is responsible for planning, coordinating, and managing the AI data foundation that powers Peraton's AI adoption initiatives - ensuring that the right data is available, governed, trusted, and accessible for the right analytical and AI-driven purposes., Data Planning & Architecture Define, document and maintain the AI and data requirements and quality standards for Corporate Growth & Business Operations - both structured and unstructured data * Define and document data domain models, entity relationships, and data flow diagrams across source systems (CRM, ERP, HRIS, proposal repositories, contract vehicles) * Work within the CIO-managed data catalog to ensure Growth & Business Operations data assets are properly inventoried, normalized, classified, tagged by domain and sensitivity, and discoverable by authorized AI consumers * Participate in enterprise data governance forums and represent the AI and data requirements, priorities on CIO managed data assets. * Partner with the CIO office to define and enforce data quality standards - including completeness, accuracy, timeliness, and consistency scoring - for data assets feeding AI workflows Data Integration, Engineering & Pipeline Development * Develop and manage AI-specific data pipelines to CIO managed lakehouse/warehouse environments * Collaborate with IRAD engineers to integrate data pipelines into the broader AI platform infrastructure * Coordinate with the CIO office to define data access patterns, API contracts, and export/query interfaces that allow AI workloads to consume enterprise data efficiently and securely * Implement data versioning and lineage tracking at the AI consumption layer to ensure full traceability from CIO-managed source to AI-generated output ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)