Data Engineer

SHI International

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
TX
Salary
$120,000–$160,000 / yr
Posted
16 days ago
Freshness
Confirmed live yesterday
Closes
Nov 13, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $169k
This role $140k
$109k most similar roles pay here $222k

This role pays less than 70% of similar roles. Most pay $127,325–$211,200 — the shaded band above. At the midpoint, this role pays about $140k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About SHI International

SHI International is a global IT solutions provider and Value-Added Reseller (VAR) that helps corporate, enterprise, and public sector customers manage, procure, and secure hardware, software, and cloud services.

SHI International currently has 48 open roles on FindRole.

Listed pay typically runs $125,000–$200,000 across 47 roles with salary data.

Most-posted roles

View all roles at SHI International

At a glance

TL;DR · Data Engineer

Data Engineer As part of the SHI One team within the Advanced Solutions Group, this role focuses on building new digital experiences for internal users, customers, and partners. The Data Engineer is responsible for the analysis, design, and development of scalable data pipelines and ETL workflows to transform raw data into reusable analytics assets. You will collaborate with data scientists and AI engineers to build enterprise-scale solutions while establishing a new data engineering practice as a technical leader. Key responsibilities include managing data quality, version control, and infrastructure integration. Required skills include proficiency in Python, SQL, C#, or Java, along with experience in cloud computing (Azure or AWS), PaaS, ORM frameworks, and Test-Driven Development. The role addresses the challenge of integrating and centralizing diverse data sources to support data-driven decision-making across business operations.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design, develop, and implement scalable data pipelines and software solutions for analytics needs.
  • Transform raw data into reusable assets using modern data platforms and tools.
  • Research data sources to design systems that integrate, centralize, and maintain company data.
  • Implement best practices for data quality, version control, and deployment across analytics platforms.
  • Troubleshoot and resolve complex software and data-related issues to ensure system reliability.
  • Develop and maintain comprehensive documentation for all software and data processes.
  • Collaborate with architects to execute a long-term data platform architecture strategy.
  • Build and deploy enterprise-scale solutions in coordination with data scientists and AI engineers.

What we're looking for

  • Completed Bachelor’s Degree in Computer Science or a related field, or relevant work experience.
  • 5+ years of experience in a similar role.
  • 5+ years of experience using Python and SQL.
  • Proficiency in utilizing PaaS for deploying and managing applications, with Microsoft Azure or Amazon Web Services highly preferred (preferred).
  • Ability to write, debug, and maintain code in various scripting and programming languages.
  • Proficiency in implementing and managing DevOps practices including CI/CD and infrastructure as code.
  • Proficiency in using Object-Relational Mapping (ORM) frameworks for database interaction.
  • Proficiency in using Test-Driven Development (TDD) methodologies to ensure code quality.

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