Data Engineer

TL;DR

Data Engineer (Data Science ML): Building and scaling data systems and APIs that power key product features including AI personalization, analytics, and billing with an accent on scalable backend systems and data reliability. Focus on designing data architecture, optimizing performance, and enabling cross-team data access and observability.

Location: Remote (NAMER, EMEA)

Salary: $141,100 - $211,700 USD

Company

hirify.global builds a platform to help millions of businesses globally scale with automation, delivering products that delight users through remote collaboration and modern tools.

What you will do

• Build and scale data services: Design, develop, and maintain scalable backend systems and APIs impacting user product experiences.
• Collaborate on data architecture and models: Partner with engineering and analytics teams to optimize storage, workflows, and schemas ensuring consistency and scalability.
• Contribute to standards, quality, and governance: Build reliable, observable data systems with strong testing, validation, and CI/CD workflows.
• Performance tuning and optimization: Monitor and optimize data workflows, resolving bottlenecks and participating in on-call rotations.
• Develop reusable engineering patterns: Create scalable frameworks enabling self-service data capabilities for other engineers.
• Support cross-functional projects: Collaborate with Product, Analytics, and Machine Learning teams to meet data needs.
• Mentor and share knowledge: Guide junior team members and foster a culture of learning.

Requirements

• Must have 4+ years experience building scalable, reliable data pipelines and infrastructure in cloud environments (AWS, GCP, or Azure).
• Strong software engineering and backend systems skills including API and data service design.
• Expertise in Databricks, Spark, or similar distributed processing platforms.
• Proficiency in Python and/or Typescript, and strong SQL skills.
• Commitment to data quality, observability, testing, and monitoring.
• Excellent communication skills and collaborative mindset.

Culture & Benefits

• Competitive and equitable compensation with transparent pay practices.
• Remote work with flexibility across NAMER and EMEA regions.
• Inclusive hiring process promoting diversity and equity.
• Support for reasonable accommodations during application and interview process.
• Focus on continuous learning and knowledge sharing.

Hiring process

• Non-standard application with in-depth questions to assess fit.
• Timely communication with candidates within seven days.
• Background check including recent educational experience upon offer.