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Data Engineer

GlobalLogic Inc.Dallas, TX🇺🇸United StatesPosted 14 Jul 2026

Why This Role Stands Out

Advance your career as a Data Engineer at GlobalLogic Inc. by leveraging your skills in large-scale data integration and cloud platforms, with a competitive salary of $105,000-$115,000. This role is perfect for experienced professionals eager to build scalable data solutions and contribute to innovative projects within a reputable technology company. Apply today to join a dynamic team and unlock your potential in data engineering.

Quick Overview

Salary
$105k - $115k/yr
Work Type
On Site
Level
Mid Senior

Job Description

Job Description:

  • Strong experience in data engineering, including largescale data integration, transformation, and pipeline development.
  • Advanced proficiency in SQL and PySpark (Python) for data processing and analytics workloads.
  • Solid understanding of data modeling concepts, including dimensional modeling and relational design.
  • Experience applying data governance, data quality frameworks, and compliance best practices.
  • Proven ability to design and operate scalable data warehouses and bigdata solutions on cloud platforms.
  • Handson experience with Databricks, AWS services (especially S3), and cloudnative data architectures.
  • Familiarity with BI and reporting tools, particularly Amazon QuickSight.
  • Ability to translate complex business needs into effective data strategies and technical solutions.

 

Job Responsibilities:

  • Design, develop, and maintain scalable data pipelines and architectures using Databricks to support analytics, reporting, and operational use cases.
  • Build and manage batch and streaming ingestion pipelines, leveraging AWS S3 as the foundational storage layer.
  • Integrate and harmonize data from multiple systems to ensure accuracy, consistency, and timely availability.
  • Partner with stakeholders to translate business and analytics requirements into robust data models and datasets.
  • Implement and enforce data governance, quality, and security standards across the data platform.
  • Optimize data storage, query performance, and cost efficiency within cloud and bigdata environments.
  • Develop, test, and maintain data transformations using SQL and PySpark (Python) on Databricks.
  • Enable reporting and dashboards through Amazon QuickSight, ensuring trusted and actionable insights.
  • Contribute to technical documentation, best practices, and team knowledgesharing to foster collaboration and a strong team culture.

 

Education: Bachelor''s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

 

GlobalLogic estimates the starting pay range for this role to be performed in Dallas, TX, to be $105,000 to $115,000, and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.

Skills

SQL
AWS
Databricks
Python

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