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Data Engineer (AI)

Cynet Systems

Nashville, TN

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JOB DETAILS
SALARY
$50–$55 Per Hour
JOB TYPE
Contractor
SKILLS
Artificial Intelligence (AI), Data Modeling, Data Structures, Algorithms, Data Mining, Apache Spark, Application Programming Interface (API), Continuous Deployment/Delivery, Continuous Integration, Data Management, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), DevOps, Ecosystems, Git, Informatica, Machine Learning, Microservices, NoSQL, Python Programming/Scripting Language, REST (Representational State Transfer), Relational Databases (RDBMS), SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Star Schema,
QUALIFICATIONS

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.
RESPONSIBILITIES

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.
LOCATION
Nashville, TN
POSTED
1 day ago

Job Overview:

  • We are seeking an experienced AI Data Engineer to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions.
  • The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems.

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.

About the Company

C

Cynet Systems

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