Sr. Data Engineer

SHI International

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$150,000–$190,000 / yr
Posted
78 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $171k
This role $170k
$115k most similar roles pay here $229k

This role pays more than 56% of similar roles. Most pay $129,950–$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 36 open roles on FindRole.

Listed pay typically runs $120,000–$230,000 across 36 roles with salary data.

Most-posted roles

View all roles at SHI International

At a glance

TL;DR · Sr. Data Engineer

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As a Senior Data Engineer at SHI One within the Advanced Solutions Group, you will lead the design and development of data engineering solutions, focusing on ETL workflows and data integration. You’ll collaborate with internal stakeholders to understand their needs and develop robust data models and databases, ensuring high-quality standards through code reviews and documentation. Your role involves optimizing end-to-end data architecture, from technology selection to application testing, while fostering a culture of continuous improvement in data processes. Key skills include expertise in SQL scripting, data modeling, database design, and experience with tools like Databricks and PowerBI. You will work on large-scale financial data processing and leverage public cloud platforms such as Azure or AWS.

Skills

SQL Python ETL Data Warehousing Databricks PowerBI AWS Azure GCP CI/CD IaC DevOps Kubernetes Terraform PostgreSQL Snowflake Git Jenkins Ansible

What you'll do

  • Design and develop data models, databases, and data warehouses to support business operations.
  • Implement ETL workflows that are highly available and testable for critical business processes.
  • Collaborate with teams to optimize end-to-end data architecture, ensuring security and efficiency.
  • Extend and maintain a developer-friendly data engineering environment to enhance productivity.
  • Lead the creation of technical documentation and visualizations for development teams and stakeholders.

What we're looking for

  • Minimum 10 years of experience in data application development, relational databases, and ETL platforms
  • Expertise in data modeling, database design, and data warehousing
  • Proficiency in SQL scripting and building highly available ETL systems
  • Strong communication skills for technical and non-technical audiences
  • Experience with public cloud services (Azure, AWS, GCP)
  • Hands-on experience with Databricks and PowerBI report development
  • Knowledge of Python programming language and DevOps methodologies

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