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Vector Database Job Jobs in Dallas, TX (NOW HIRING)

Sr. Data/GenAI Engineer

Irving, TX · On-site

$101.80K - $138.30K/yr

... vector database. o Serve as the subject matter expert on data sources, liaising with data owners to understand structures, access patterns, and semantics. o Ensure the data ingestion pipeline is ...

Data Engineer - Dallas, TX

Dallas, TX

$113.30K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113.30K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval. * Chunking ...

Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. * Tooling & Libraries: Develop and maintain ...

QA Engineer (Performance)- Dallas, TX

Dallas, TX · On-site

$138.50K/yr

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

Oversee the integration of Vector Databases (e.g., Pinecone, Weaviate, or PGVector) and design "memory" systems that allow agents to retain context across sessions. * Observability & Tracing:

Test the speed and efficiency of the vector database retrieval process. Identify how increasing the "context window" size impacts overall system performance. * Token Throughput Monitoring: Analyze ...

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads. * Hands-on with prompt design, evaluation, LLM orchestration, and RAG ...

Lead Gen AI Engineer

Plano, TX · On-site

$85 - $110/hr

Deep understanding of LLMs, embeddings, vector databases (e.g., FAISS, Pinecone, Weaviate). * Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)

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Vector Database Job information

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How much do vector database job jobs pay per hour?

As of May 30, 2026, the average hourly pay for vector database job in Dallas, TX is $31.86, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $38.99 per hour, depending on experience, location, and employer.
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Data AI Engineer with Vector Databases

Data AI Engineer with Vector Databases

Apex Informatics

Plano, TX • On-site

$109.60K - $131.60K/yr

Other

Posted 26 days ago


Job description

Title: Data AI Engineer with Vector Databases
Location: Plano, TX
Job Description:
Key Responsibilities:
  1. Design and build ETL/ELT pipelines and data processing workflows
  2. Develop batch and real-time data pipelines using modern frameworks
  3. Work with Python and SQL for data transformation and analytics
  4. Implement GenAI data architectures, including RAG pipelines and vector indexing
  5. Manage and optimize Vector Databases for embedding storage and similarity search
  6. Build secure data solutions on AWS, ensuring data quality and compliance
  7. Support analytics, reporting, and data modernization initiatives

Required Skills:
  1. Strong experience in Python and SQL
  2. Hands-on experience with ETL/ELT and data pipelines
  3. Mandatory: Experience with Vector Databases
  4. Experience with GenAI / LLM frameworks (LangChain or LangGraph)
  5. Experience with Big Data frameworks (Apache Spark, Apache Kafka)
  6. Workflow orchestration using Apache Airflow
  7. Experience with data platforms like Databricks or Snowflake
  8. AWS services: S3, Glue, Redshift

Nice to Have:
  1. Experience with ML frameworks (Scikit-learn, PyTorch)
  2. Knowledge of RAG architectures and embedding pipelines
  3. Experience in financial services / fintech environments