Hybrid Forward Deployed Data Engineer for AI Impact

Kyndryl Inc.; Dallas (TX); Hybrid; USD 144,000 - 273,000; Full time

Job summary

Kyndryl is seeking a Forward Deployed Data Engineer to design, deploy, and optimize data infrastructure, pipelines, and AI context engines for enterprise clients. You will bridge complex business challenges with scalable data solutions in live environments.

Role emphasizes hands-on implementation, rapid scoping to production-ready systems, and collaboration across global teams. A hybrid work model with on-site Frisco, TX three days per week is expected.

Qualifications

• Strong production-grade coding in Python and SQL optimization.
• Experience designing and orchestrating ETL/ELT pipelines with Airflow, dbt, Kafka.
• Cloud-native deployments in AWS, Azure, or GCP.
• Experience with vector databases and indexing for high-context search.
• Knowledge of data quality, lineage, and observability tools.
• Cloud certifications or willingness to pursue during tenure.

Responsibilities

• Design, deploy, and optimize scalable ETL/ELT pipelines for batch and real-time workloads.
• Architect distributed systems across hybrid and cloud-native environments for performance and cost.
• Build and refine vector databases and context engines for AI applications.
• Develop secure, high-throughput API endpoints for distributed data.
• Configure feature stores for real-time ML pipelines.

Skills

Python

SQL optimization

ETL/ELT pipelines

Airflow

dbt

Kafka

AWS

Azure

GCP

Vector databases

Pinecone

Milvus

Chroma

Weaviate

Great Expectations

DataHub

Cloud certifications

Bachelor’s degree in CS/DS/Engineering

Docker

Kubernetes

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field

Tools

Docker

Kubernetes

Job description

Kyndryl is seeking a Forward Deployed Data Engineer to design, deploy, and optimize data infrastructure, pipelines, and AI context engines for enterprise clients. You will bridge complex business challenges with scalable data solutions in live environments.

Role emphasizes hands-on implementation, rapid scoping to production-ready systems, and collaboration across global teams. A hybrid work model with on-site Frisco, TX three days per week is expected.