Data Engineer

TL;DR

Data Engineer: Designing and implementing scalable data pipelines and ETL workflows to support enterprise-scale analytics with an accent on cloud infrastructure and data quality. Focus on building a new data engineering practice, collaborating with cross-functional teams, and optimizing data platform architecture.

Location: Must be based in the US (NY), hybrid work model.

Salary: $120,000–$160,000

Company

A global provider of IT solutions and services with over 30 years of experience and a workforce of 7,000 employees.

What you will do

• Design and implement scalable data pipelines and software solutions for analytics.
• Collaborate with data scientists and AI engineers to deploy enterprise-scale solutions.
• Transform raw data into reusable analytics assets using modern platforms.
• Implement best practices for data quality, version control, and deployment.
• Troubleshoot and resolve software and data-related issues.
• Partner with architects to integrate analytics solutions into broader system designs.

Requirements

• Bachelor’s degree in Computer Science or equivalent experience.
• 5+ years of experience in a similar role.
• 5+ years of experience with Python and SQL.
• Proficiency in cloud computing (IaaS, PaaS, SaaS) and DevOps practices.
• Experience with TDD methodologies and ORM frameworks.
• Ability to travel up to 10%.

Nice to have

• Experience with C# or Java.
• Experience with Microsoft Azure or AWS.

Culture & Benefits

• Commitment to diversity as a minority- and woman-owned enterprise.
• Professional growth and leadership development opportunities.
• Comprehensive health, wellness, and financial benefits including 401K.
• Access to world-class facilities and modern technology.