Associate Data Engineer

Kyndryl

. Design and scale Retrieval-Augmented Generation (RAG) pipelines .

Posted 11/9/2026full-timeFrisco • Texas • United StatesJuniorMid-Level💰 $77,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and scaling Retrieval-Augmented Generation (RAG) pipelines, transforming unstructured data into optimized vector embeddings, and maintaining the performance of vector databases. Proficient in data pipeline development, data quality management, and effective communication with both technical and non-technical stakeholders.

Highest-signal resume keywords

Data MiningData StorageExtract-Transform-Load (ETL)CI/CD Pipeline DevelopmentVector Database Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentVector EmbeddingsKnowledge GraphsSemantic LayersData Quality ManagementRelational DatabasesNoSQL DatabasesData GuardrailsData TransformationAutomated Data Processing

Soft Skills

Problem-SolvingAnalytical ThinkingAttention to DetailProject ManagementCommunication Skills

Tools & Technologies

PineconeMilvusWeaviateGlueDatabricksSynapseDataprocPostgreSQLDB2MongoDB

Industry Keywords

Data InfrastructureAI AgentsData ContextUnstructured DataData Quality Issues

Tech Stack

Tools & technologies

ETLMongoDBNoSQLPostgres

About the role

Key responsibilities & impact

Design and scale Retrieval-Augmented Generation (RAG) pipelines
Transform unstructured IT logs and documentation into optimized Vector Embeddings
Maintain the health and performance of vector databases such as Pinecone, Milvus, or Weaviate
Build knowledge graphs and semantic layers for AI agents
Create automated data guardrails to detect noise, bias, and PII
Identify and resolve data quality issues at the source
Build, deploy, and maintain CI/CD pipelines for data infrastructure
Ensure data context remains fresh and reliable

Requirements

What you’ll need

Legally authorized to work in the United States without restriction now and in the future
Must be able to work at the Frisco office 5 days per week
Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
Experience in data pipeline development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
Excellent problem-solving, analytical, and critical thinking skills
Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
Ability to communicate with technical and non-technical colleagues and translate technical requirements from business needs

Benefits

Comp & perks

Discretionary annual bonus program based on performance
Medical and dental coverage
Disability benefits
Retirement benefits
Paid leave
Paid time off
Employee learning programs and access to certifications, including Microsoft, Google, Amazon, and Skillsoft
Company-wide volunteering and giving platform
Inclusion Networks and workplace support
Hands-on experience and learning opportunities
Access to state-of-the-art resources and Fortune 100 clients