Haystack
← Back to Jobs
Remote
Technology

AI Data Engineer - Remote / Telecommute

Cynet SystemsNashville, TN🇺🇸United StatesPosted 15 Jul 2026

Why This Role Stands Out

This remote AI Data Engineer role offers a fantastic opportunity to work with cutting-edge AI and LLM technologies, fostering significant career growth and skill development. You'll thrive here if you have a strong foundation in Python, SQL, PySpark, and ETL/ELT, while enjoying the flexibility of a telecommute position. Apply now to join a dynamic team and contribute to innovative data solutions!

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

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.

Skills

Microservices
SQL
ETL
Machine Learning
Snowflake
Airflow
Apache
Apache Spark
Azure
Databricks
Generative AI
Git
LLM
Python
REST

Similar jobs