Senior Data Engineer - Build Scalable Data Platforms

Kyndryl

Durham (NC)

On-site

USD 89,000 - 168,000

Full time

14 days+
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Benefits offered by this job

Medical and dental coverage
Retirement benefits
Paid time off

Job summary

Kyndryl is seeking a Data Engineer to design and operate data platforms that empower decision-makers with clean, harmonized data. You will build data pipelines and transform raw data into actionable datasets.

You will analyze business needs, ensure data quality, and work across teams to deliver reliable data solutions. The role offers bonus eligibility, comprehensive benefits, and opportunities to grow with Fortune 100 clients.

Qualifications

  • Minimum of 5+ years of experience as a Data Engineer or in cloud modernization.
  • Experience with data mining, data storage and ETL processes.
  • Experience with data pipelines development and tooling (Glue, Databricks, Synapse, Dataproc).
  • Experience with relational and NoSQL databases (PostgreSQL, DB2, MongoDB).
  • Strong problem-solving, analytical and communication skills.
  • Ability to manage multiple projects with attention to detail.
  • Ability to derive technical requirements from business needs.

Responsibilities

  • Architect data pipelines to cleanse, normalize and transform raw data into final datasets.
  • Convert business needs into robust data solutions across teams.
  • Ensure data quality and alignment with business and technical requirements.
  • Manage multiple projects with a high level of attention to detail.
  • Transform data into actionable insights to drive decisions.

Skills

Data mining
Data storage
ETL processes
Data pipelines development
Glue
Databricks
Synapse
Dataproc
PostgreSQL
DB2
MongoDB
Problem-solving
Analytical thinking
Critical thinking
Communication skills
Multitasking

Education

Degree in Computer Science/Software Engineering/Information Technology

Tools

GitHub
Visual Studio

Job description

Kyndryl is seeking a Data Engineer to design and operate data platforms that empower decision-makers with clean, harmonized data. You will build data pipelines and transform raw data into actionable datasets.

You will analyze business needs, ensure data quality, and work across teams to deliver reliable data solutions. The role offers bonus eligibility, comprehensive benefits, and opportunities to grow with Fortune 100 clients.

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