Senior Data Engineer

Solomon Page; Orlando (FL); On-site; USD 110,000 - 117,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

401(k) Plan

Direct Deposit

Commuter Benefits

Job summary

Solomon Page is seeking a Senior Data Engineer to design scalable data solutions powering enterprise analytics, reporting, and AI-driven applications. The role emphasizes Generative AI, LLMs, RAG, semantic search, and AI-powered data products.

Responsibilities include building data pipelines, trusted datasets, and AI-ready architectures while ensuring data quality, governance, and security across hybrid environments. Collaboration with business, product, analytics, and tech teams is essential.

Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platforms.
• Strong expertise in SQL and Python.
• Experience with cloud data platforms such as Snowflake, AWS, or Azure and hybrid data environments.
• Hands-on experience with Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI.
• Experience designing RAG, semantic search, vector databases, embeddings, and knowledge retrieval solutions.
• Experience with metadata management, semantic layers, data governance, and data quality frameworks.
• Experience supporting Power BI, Tableau, or similar BI platforms.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent experience.

Responsibilities

• Design, build, and optimize scalable data pipelines, integrations, and enterprise data platforms.
• Develop curated, trusted datasets for analytics, reporting, dashboards, and AI applications.
• Build AI-ready data architectures supporting LLMs, RAG, semantic search, and AI assistants.
• Design semantic layers, metadata structures, knowledge repositories, vector databases, embeddings, and retrieval solutions.
• Integrate structured and unstructured data into scalable AI-enabled environments.
• Develop data pipelines supporting machine learning, Generative AI, and predictive analytics.
• Ensure data quality, governance, security, lineage, observability, and compliance.
• Partner with cross-functional teams to deliver AI-driven self-service and data discovery.

Skills

SQL

Python

Data Modeling

ETL/ELT

Data Warehousing

Cloud Platforms

Snowflake

AWS

Azure

RAG

LLMs

Semantic Search

Power BI

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

Snowflake

AWS

Azure

Databricks

Bedrock

Job description

We are seeking a Senior Data Engineer – B2B AI & Data Products to design and build scalable data solutions that power enterprise analytics, reporting, and AI-driven applications. This role will combine strong data engineering expertise with hands‑on experience in Generative AI, LLMs, RAG, semantic search, and AI‑powered data products. The ideal candidate will help create trusted, AI‑ready data foundations while partnering with business, product, analytics, and technology teams.

• Pay Range :$80/hr on w2 to $85/hr on w2

Responsibilities

• Design, build, and optimize scalable data pipelines, integrations, and enterprise data platforms.
• Develop curated, trusted datasets for analytics, reporting, dashboards, and AI applications.
• Build AI-ready data architectures supporting LLMs, RAG, semantic search, conversational agents, and AI assistants.
• Design semantic layers, metadata structures, knowledge repositories, vector databases, embeddings, and retrieval solutions.
• Integrate structured and unstructured data into scalable AI-enabled environments.
• Develop data pipelines supporting machine learning, Generative AI, predictive analytics, and agentic AI solutions.
• Ensure data quality, governance, security, lineage, observability, and compliance.
• Partner with cross-functional teams to deliver AI-driven self‑service and data discovery capabilities.
• Evaluate emerging data and AI technologies and contribute to enterprise data platform modernization.

Required Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platforms.
• Strong expertise in SQL and Python.
• Experience with cloud data platforms such as Snowflake, AWS, or Azure and hybrid data environments.
• Strong experience with ETL/ELT, data pipelines, data modeling, data warehousing, and Lakehouse architectures.
• Hands‑on experience with Generative AI, LLMs, AI Assistants, Copilots, or Conversational AI.
• Experience designing RAG, semantic search, vector databases, embeddings, and knowledge retrieval solutions.
• Familiarity with AI technologies/frameworks such as Amazon Bedrock, Snowflake Cortex AI, Databricks Mosaic AI, Claude, Cursor, or equivalent.
• Experience with metadata management, semantic layers, data governance, and data quality frameworks.
• Experience supporting Power BI, Tableau, or similar BI platforms.
• Strong communication, analytical, problem‑solving, and cross‑functional collaboration skills.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience.

The Solomon Page Distinction

Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long‑term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.