AI Data Engineer - Remote / Telecommute

Nashville, TN, US • Posted 13 hours ago • Updated 13 hours ago
Contract W2
Contract Corp To Corp
6 Months
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Data Engineer

Summary

We are looking for AI Data Engineer - Remote / Telecommute for our client in Nashville TN.

Job Title: AI Data Engineer - Remote / Telecommute

Job Location: Nashville TN

Job Type: Contract

Job Overview:

Requirement/Must Have:

  • 1+ years of experience in Python, SQL, and PySpark.
  • Experience in ETL/ELT development.
  • Knowledge of Data Modeling (Star Schema, Snowflake Schema).
  • Familiarity with Apache Spark and Databricks.
  • Experience with Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools.
  • Understanding of Relational & NoSQL Databases.
  • Knowledge of Data Warehousing concepts.
  • Experience with REST APIs and Microservices.
  • Familiarity with Git, CI/CD, and DevOps practices.

Responsibilities:

  • Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  • Build and optimize data lakes, data warehouses, and AI-ready data platforms.
  • Develop ingestion, transformation, and orchestration frameworks using cloud-native technologies.
  • Prepare, cleanse, and engineer datasets for AI/ML and Generative AI workloads.
  • Integrate Large Language Models (LLMs), vector databases, embeddings, and RAG (Retrieval-Augmented Generation) pipelines into enterprise solutions.
  • Implement data governance, security, lineage, and quality controls.
  • Collaborate with Data Scientists, AI Engineers, Business Analysts, and Solution Architects.
  • Monitor, troubleshoot, and optimize data pipelines and platform performance.
  • Automate deployment, testing, and monitoring of data engineering workflows.
  • Create technical documentation and data dictionaries for enterprise data assets.

Skills:

  • Machine Learning fundamentals.
  • Data preparation for AI models.
  • Vector Databases (Pinecone, ChromaDB, FAISS).
  • LLM Integration (OpenAI, Azure OpenAI, Gemini, Claude, etc.).
  • RAG Architecture.
  • Embeddings and Semantic Search.
  • Prompt Engineering fundamentals.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: TN_ADRT_0715
  • Posted 13 hours ago
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