Data Engineer - Onsite Frisco: Build Data Pipelines

Kyndryl; Dallas (TX); On-site; USD 73,000 - 140,000; Full time

Benefits offered by this job

Discretionary annual bonus

Medical and dental coverage

Retirement benefits

Paid leave and PTO

Job summary

Kyndryl is seeking a Data Engineer to onsite in Frisco, TX. You will design and maintain data platforms, transform raw data into clean datasets, and enable insights for decision-makers. You will partner with business teams to define data requirements and ensure data quality across the organization.

The role emphasizes hands-on data pipeline development, data modeling, and collaboration with technical and non-technical stakeholders in a fast-moving environment.

Qualifications

• Experience with data mining, storage and ETL processes.
• Experience building data pipelines and tooling (Glue, Databricks, Synapse or Dataproc).
• Familiarity with relational and NoSQL databases (PostgreSQL, DB2, MongoDB, SQL Server).
• Excellent problem solving, analytical and critical thinking skills.
• Ability to manage multiple projects with attention to detail.
• Strong communication to extract requirements from business problems.

Responsibilities

• Engineer data platforms and pipelines to deliver clean, accessible data for decision-makers.
• Transform and harmonize data, ensure quality, lineage, and availability.
• Work with business teams to translate objectives into data solutions and governance.

Skills

ETL

Data pipelines

Databases (SQL/NoSQL)

Analytical thinking

Multi-project mgmt

Communication skills

Education

Bachelor's degree in CS/IT or related field

Professional certifications (data eng)

Tools

Glue

Databricks

Synapse

Dataproc

Job description

Kyndryl is seeking a Data Engineer to onsite in Frisco, TX. You will design and maintain data platforms, transform raw data into clean datasets, and enable insights for decision-makers. You will partner with business teams to define data requirements and ensure data quality across the organization.

The role emphasizes hands-on data pipeline development, data modeling, and collaboration with technical and non-technical stakeholders in a fast-moving environment.