Associate Data Engineer

About the Role

Kyndryl designs, builds, manages, and modernizes mission-critical technology systems. This role is part of the Early Career Consult Program, focusing on an Associate Data Engineer position. Applicants must be legally authorized to work in the United States without restriction, now and in the future. Sponsorship for employment visas will not be provided. This role requires working at the Frisco office 5 days per week.

Key Responsibilities

• Orchestrate Intelligence:
• Architect for RAG (Retrieval-Augmented Generation), designing and scaling pipelines to transform unstructured IT logs and documentation into optimized Vector Embeddings.
• Scale vector infrastructure, managing the health and performance of vector databases (e.g., Pinecone, Milvus, or Weaviate) to ensure sub-second retrieval speeds for agentic reasoning loops.
• Master Data Transformation:
• Engineer semantic layers and build knowledge graphs to provide agents with context for complex infrastructure.
• Automate data excellence by building automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model.
• Own the Backbone:
• Bridge the gap between raw data sources and AI work, identifying and resolving data quality issues at the source.
• Build, deploy, and maintain CI/CD pipelines for data infrastructure with a well-defined methodology and software engineering prowess.

Requirements & Tech Stack

• Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
• Experience in data pipelines development and tooling (e.g., Glue, Databricks, Synapse, or Dataproc).
• Experience with both relational and NoSQL databases (e.g., PostgreSQL, DB2, MongoDB).
• Excellent problem-solving, analytical, and critical thinking skills.
• Ability to manage multiple projects simultaneously with a high level of attention to detail.
• Ability to communicate with both technical and non-technical colleagues to derive and translate technical requirements from business needs.
• Understanding of social coding and Integrated Development Environments (e.g., GitHub and Visual Studio).

Qualifications

• Experience working as a Data Engineer and/or in cloud modernization (preferred).
• Experience in Data Modelling (preferred).
• Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization (preferred).
• Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate (preferred).
• Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology (preferred).
• Possess a growth mindset.
• Customer-focused.
• Open and borderless in approach to work.