Data Engineer: Build Trusted Data Pipelines

Kyndryl; Dallas (TX); On-site; USD 64,000 - 121,000; Full time

Benefits offered by this job

Annual bonus

Comprehensive benefits

Job summary

Kyndryl is hiring a Data Engineer to design and govern the data platforms that power decision-making. You will transform raw data into clean, actionable datasets and build scalable pipelines to support analytics and business insights.

You will work across data engineering disciplines, focusing on data quality, transformations, and governance to enable data-driven decisions and ongoing innovation. This role emphasizes collaboration, critical thinking, and technical excellence.

Qualifications

• Experience with data mining, storage and ETL processes.
• Experience building data pipelines and tooling (Glue, Databricks, Synapse, Dataproc).
• Experience with relational and NoSQL databases (PostgreSQL, DB2, MongoDB).
• Strong problem-solving, analytical and critical thinking skills.
• Ability to manage multiple projects with attention to detail.
• Excellent communication for both technical and non-technical colleagues.

Responsibilities

• Architect data pipelines to cleanse, normalize and transform raw data into final datasets.
• Ensure data solutions align with business and technical requirements.
• Lifecycle management to keep data fresh and impactful.

Skills

Data mining

Data storage

ETL processes

Data pipelines development

Tooling: Glue

Databricks

Synapse

Dataproc

Relational databases

NoSQL databases

PostgreSQL

DB2

MongoDB

Problem solving

Analytical thinking

Project management

Communication

Education

Professional certification: Open Certified Technical Specialist with Data Engineering Specialization

Cloud platform certification (AWS/GCP/Azure)

Degree in Computer Science / Software Engineering / IT

Tools

Glue

Databricks

Synapse

Dataproc

GitHub

Visual Studio

Job description

Kyndryl is hiring a Data Engineer to design and govern the data platforms that power decision-making. You will transform raw data into clean, actionable datasets and build scalable pipelines to support analytics and business insights.

You will work across data engineering disciplines, focusing on data quality, transformations, and governance to enable data-driven decisions and ongoing innovation. This role emphasizes collaboration, critical thinking, and technical excellence.