Data Engineer

Kyndryl

Data Engineer designing and implementing scalable, high-performance data platforms and pipelines at Kyndryl. Collaborating with architects, software engineers, and data scientists for enterprise AI solutions.

Posted 5/3/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $110,880 - $210,600 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKafkaPythonSQL

About the role

Key responsibilities & impact

Design and optimize ETL/ELT pipelines and data models for structured and unstructured data.
Build scalable architectures supporting batch and real-time processing across cloud and on-prem environments.
Implement data quality frameworks, governance policies, and validation rules.
Develop API endpoints and integrations for AI agents to access structured information.
Manage vector databases and semantic layers for AI-driven search and contextual grounding.
Collaborate with cross-functional teams to deliver data solutions aligned with business and AI needs.
Mentor junior engineers and champion best practices in DataOps and pipeline orchestration.

Requirements

What you’ll need

Strong programming skills in SQL, Python, and experience with ETL/ELT tools (Airflow, dbt, Kafka)
Expertise in data modeling, distributed systems, and cloud-native platforms (AWS, Azure, GCP)
Familiarity with data governance, lineage, and observability tools (DataHub, Great Expectations)
Experience with vector databases and feature store design for AI/ML workflows
Ability to troubleshoot complex data issues and optimize performance

Benefits

Comp & perks

comprehensive benefits package which includes medical and dental coverage
disability
retirement benefits
paid leave
paid time off

ATS Keywords

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Hard Skills & Tools

SQLPythonETLELTdata modelingdistributed systemscloud-native platformsdata governancedata lineagedata observability

Soft Skills

collaborationmentoringproblem-solvingcommunicationleadership