Senior Data Engineer

SHI International

Confirmed live 2 days ago High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $150,000–$190,000 / yr
Posted: 175 days ago
Freshness: Confirmed live 2 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k

This role $170k

$121k most similar roles pay here $221k

This role pays more than 50% of similar roles. Most pay $131,035–$211,200 — the shaded band above. At the midpoint, this role pays about $170k versus about $171k 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

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At a glance

TL;DR · Senior Data Engineer

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As a Sr. Data Engineer within the SHI One team of the Advanced Solutions Group, you will drive organizational data strategy by designing data models, developing database standards, and managing data warehouses and analytics systems. You will be responsible for researching data sources to integrate and centralize information while establishing a new data engineering practice as a technical leader. Your daily work involves building high-quality ETL workflows, creating technical documentation, and collaborating with stakeholders to solve business needs through robust architecture. The role requires expert knowledge of SQL scripting, data modeling, and database design. You will utilize tools such as Databricks, PowerBI, and Python while leveraging public cloud platforms like Azure, AWS, or GCP. Additionally, you will apply DevOps methodologies including CI/CD and IaC to optimize end-to-end architecture for processing large amounts of financial data.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

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Skills

SQL ETL Data Warehousing Python Databricks PowerBI Azure AWS GCP CI/CD IaC Data Modeling Relational Databases DevOps Automated Testing

What you'll do

Design and develop data engineering solutions and ETL workflows for internal users and customers.
Research diverse data sources to create designs for integrating, centralizing, and maintaining company data.
Drive organizational data strategy including data model designs, database development standards, and warehouse management.
Coach team members through code and design reviews to ensure high technical standards.
Optimize end-to-end data architecture including technology selection, security, and application testing.
Create and maintain technical documentation, architecture diagrams, and visualizations for stakeholders.
Improve developer experience by enhancing the data engineering environment for better testing and integration.

What we're looking for

Bachelor's degree or relevant work experience.
Minimum 10 years of experience developing data applications, relational databases, and ETL platforms.
Expert knowledge of SQL scripting, data modeling, database design, and data warehousing.
Experience building highly available and testable ETL systems for critical business operations.
Proficiency in Python programming and processing large amounts of financial data at scale.
Hands-on experience with Databricks and PowerBI report development.
Expertise in public cloud platforms (Azure, AWS, or GCP) and DevOps methodologies including CI/CD and IaC.
Excellent communication skills to present technical information to both technical and non-technical audiences.

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