Member of Technical Staff – Data Engineer (AI)

TL;DR

Member of Technical Staff – Data Engineer (AI): Building mission-critical scalable data pipelines for ingesting, processing, and publishing data streams from personal AI and Copilot systems with an accent on big data processing technologies and robust solution architecture. Focus on fine-tuning models, supporting data introspection and retrospection, and evolving human-AI interactions.

Location: Redmond, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location.

Salary: USD $139,900 – $274,800 per year (U.S. average); USD $188,000 – $304,200 per year (San Francisco Bay Area and New York City metropolitan area)

Company

hirify.global is seeking to build systems that have true artificial intelligence across agents, applications, services, and infrastructure, aiming to make AI accessible to all.

What you will do

• Build scalable data pipelines for sourcing, transforming, and publishing data assets for AI use cases.
• Work collaboratively with Platform, infrastructure, application engineers, and AI Researchers to build next-generation data platform products and services.
• Ship high-quality, well-tested, secure, and maintainable code.
• Find paths to overcome roadblocks and deliver work quickly and iteratively.
• Work effectively in a fast-paced, design-driven product development cycle.

Requirements

• Bachelor’s Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work OR Master’s Degree AND 4+ years experience.
• 4+ years technical engineering experience building data processing applications (batch and streaming) with coding in languages including Python, Java, Spark, SQL.
• Experience working with Apache Hadoop eco system, Kafka, NoSQL.
• 3+ years experience with data governance, data compliance, and/or data security.
• 2+ years’ experience building scalable services on public cloud infrastructure like Azure, AWS, or GCP, using datastores like RDBMS and key-value stores.
• 2+ years’ experience building distributed systems at scale with extensive systems knowledge.

Culture & Benefits

• Collaborate with a growth mindset to empower others and achieve shared goals.
• Values of respect, integrity, and accountability to foster an inclusive culture.
• Opportunity to work on challenging AI questions of our time.
• Engage in a fast-paced, design-driven product development cycle.
• Access to comprehensive benefits and compensation information.