Senior Data Engineer – AI Data Products & RAG Architect

Fives DyAG Corp.; Orlando (FL); On-site; USD 83,000 - 138,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

401(k) with company match

Short-term disability

Life insurance with AD&D

Job summary

Software Resources, a long‑standing technology staffing partner, has an immediate contract opportunity for a Senior Data Engineer in Orlando, FL to lead B2B AI and data products enablement. You will design scalable data pipelines, data platforms, and AI‑ready architectures across cloud/hybrid environments.

The role focuses on building trusted data foundations, enabling AI driven experiences, and collaborating with business, product, analytics, and technology teams to deliver measurable data

Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Proven experience designing and supporting enterprise data pipelines and data warehouse / Lakehouse solutions.
• Strong expertise in SQL and Python.
• Experience with cloud data platforms (Snowflake, AWS, Azure) and hybrid data integration patterns.
• Hands-on experience with ETL / ELT orchestration tools and data pipeline automation.
• Strong understanding of data modeling, semantic layer design, and performance optimization techniques.
• Experience with Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI applications.
• Experience designing data architectures for Retrieval-Augmented Generation (RAG) or semantic search solutions.
• Familiarity with vector databases, embeddings, semantic indexing, and knowledge retrieval architectures.
• Experience integrating structured and unstructured enterprise data sources to support AI-driven applications.
• Strong understanding of AI governance, prompt engineering concepts, model evaluation, and responsible AI practices.
• Experience with modern AI frameworks and services such as Claude, Cursor, Snowflake Cortex AI, Databricks Mosaic AI, Amazon Bedrock, or equivalent technologies.
• Experience implementing metadata-driven architectures that improve data discoverability and AI consumption.
• Experience supporting BI and analytics platforms such as Power BI, Tableau, or similar tools.

Responsibilities

• Design, build, and optimize scalable data pipelines and integration frameworks within the existing DXT ecosystem to support multiple B2B data products and enterprise reporting needs.
• Architect and implement data ingestion, transformation, and storage patterns across cloud and hybrid environments.
• Establish reusable data engineering standards and best practices to enable consistency and scalability across product domains.
• Develop curated enterprise datasets that serve as trusted sources for dashboards, analytics, and AI initiatives.
• Design and implement data architectures that support enterprise AI applications, conversational agents, and intelligent self‑service experiences.
• Develop and optimize datasets, metadata structures, semantic layers, and knowledge repositories that enable natural language access to enterprise information.
• Build and maintain Retrieval‑Augmented Generation (RAG) frameworks and semantic search capabilities supporting AI‑powered data discovery.
• Engineer scalable solutions that integrate structured and unstructured data into AI‑ready environments.
• Partner with business stakeholders to translate data accessibility challenges into AI‑enabled solutions.
• Enable enterprise users to discover, understand, and consume trusted data assets through conversational and self‑service interfaces.
• Design and implement vectorized data architectures and embedding strategies supporting LLM‑based applications.
• Collaborate with AI and analytics teams to operationalize AI‑driven use cases while ensuring governance, security, and compliance standards are maintained.
• Evaluate emerging AI technologies and recommend approaches that improve enterprise data accessibility, usability, and business value.

Skills

SQL

Python

Data modeling

Communication

Analytical thinking

Education

Bachelor's Degree in Computer Science, Information Systems, Engineering, or related field

Tools

Snowflake

AWS

Azure

ETL/ELT tools

Power BI

Tableau

Job description

Software Resources, a long‑standing technology staffing partner, has an immediate contract opportunity for a Senior Data Engineer in Orlando, FL to lead B2B AI and data products enablement. You will design scalable data pipelines, data platforms, and AI‑ready architectures across cloud/hybrid environments.

The role focuses on building trusted data foundations, enabling AI driven experiences, and collaborating with business, product, analytics, and technology teams to deliver measurable data