Data Platform Engineer – Onsite Frisco

Kyndryl; Frisco, Northern (TX, KY); Hybrid; USD 73,000 - 140,000; Full time

Benefits offered by this job

Discretionary annual bonus

Comprehensive benefits

Paid time off

Job summary

Kyndryl Inc. seeks a Data Engineer to design and operate data platforms, transforming raw data into actionable insights for decision-makers. You will build pipelines, cleanse and normalize data, and ensure availability of high-quality datasets to support business outcomes.

You will collaborate with business stakeholders, leverage cloud-native tools, and contribute to data modeling and lifecycle management to drive data-driven growth.

Qualifications

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

Responsibilities

• Develop and maintain data pipelines to transform raw data into refined datasets.
• Ensure availability of pristine, harmonized data for decision-makers.
• Collaborate with stakeholders to interpret business requirements for data solutions.
• Architect data platforms and manage lifecycle of data assets.

Skills

ETL processes

Data mining

Data pipelines

Relational databases

NoSQL databases

Analytical thinking

Communication

Education

Degree in Computer Science/Engineering/IT

Open Certified Technical Specialist – Data Eng

Cloud platform certifications (AWS/GCP/Azure)

Tools

Glue

Databricks

Synapse

Dataproc

GitHub

Visual Studio

Job description

Kyndryl Inc. seeks a Data Engineer to design and operate data platforms, transforming raw data into actionable insights for decision-makers. You will build pipelines, cleanse and normalize data, and ensure availability of high-quality datasets to support business outcomes.

You will collaborate with business stakeholders, leverage cloud-native tools, and contribute to data modeling and lifecycle management to drive data-driven growth.