Data Engineer

TL;DR

Data Engineer (Azure Databricks): Designing and implementing data projects that consolidate multiple sources and enable routine and ad-hoc analytics with an accent on modern enterprise data pipelines, data modeling/report design best practices, and AI-ready data preparation. Focus on building accessible, user-friendly datasets and implementing metrics/monitoring while translating business requirements into technical solutions.

Location: Remote (United States)

Salary: $105,000–$115,000 USD

Company

hirify.global provides talent mobility services and places people with clients worldwide.

What you will do

• Collaborate with colleagues and clients to deliver tools for routine and non-routine data analysis.
• Architect and build modern data pipelines and foundational components for enterprise data solutions.
• Design customized data solutions by translating business requirements into technical implementations.
• Prepare, transform, and govern data for analytics, machine learning, and generative AI use cases.
• Implement metrics and monitoring systems and promote technical best practices for data modeling and report design.
• Make independent decisions and provide guidance to peers.

Requirements

• Must be based in the United States (remote).
• 5+ years of data engineering experience.
• 4+ years of hands-on experience with Azure Databricks.
• Strong SQL skills (T-SQL and ANSI SQL).
• Strong Python proficiency for data-related tasks and integrations.
• Experience with agile development and DevOps concepts; proficiency with Git.

Culture & Benefits

• 401(k) plan and comprehensive health insurance (medical, dental, vision).
• Employee Assistance Program support.
• Paid time off that grows with tenure, plus paid holidays and volunteer paid time off.
• Life insurance and disability coverage.
• Transparent salary bands and EEO/AA commitment.

Hiring process

• Recruitment process includes evaluation aligned with market/geographic salary targets.
• Interviews and assessments focused on data engineering experience and required technical skills.