Staff Data Engineer (AI)

TL;DR

Staff Data Engineer (AI): Building and optimizing high-quality batch and real-time data systems and models for a distributed data platform with an accent on data quality, performance, stability, and scalability. Focus on architecting robust data solutions, collaborating with cross-functional teams, and leveraging AI/ML insights to drive business impact.

Location: This position is Remote Eligible within the US. The role may include occasional work at an hirify.global office or attendance at offsites. You must live in a state where hirify.global, Inc. has a registered entity.

Salary: $204,000–$255,000 USD

Company

hirify.global is a global hospitality platform connecting over 5 million hosts with 2 billion guest arrivals worldwide.

What you will do

• Architect and productionize batch and real-time data systems.
• Ensure the quality, performance, and stability of data systems.
• Design and optimize data models for efficient storage and retrieval.
• Collaborate with cross-functional teams, including product managers, engineers, and data scientists.
• Tune, productionize, and optimize data systems and machine learning models.
• Provide technical leadership and mentorship to team members and influence data engineering strategies.

Requirements

• 9+ years of relevant industry experience (6+ years with PhD).
• Strong proficiency in Java, Scala, or Python, and expertise in SQL and data processing technologies.
• Proven ability to design, productionize, and optimize batch and real-time data pipelines and systems, with a focus on quality, performance, and stability.
• Expertise in data modeling, warehousing, and various database technologies (relational, graph, NoSQL).
• Advanced analytical, problem-solving, and communication skills, capable of influencing stakeholders.
• Ability to provide technical leadership and mentorship, alongside experience leveraging LLM AI in daily tasks.

Nice to have

• Scaling data tasks via automation.
• Previous experience in large-scale cloud-based software engineering or system architecture.
• Experience with AB experimentation.
• General understanding of AI/ML algorithms.
• Previous experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.

Culture & Benefits

• Commitment to working with the broadest talent pool possible and fostering diverse ideas.
• Disability-inclusive application and interview process with reasonable accommodation.
• Eligible for bonus, equity, benefits, and Employee Travel Credits.
• Compensation is dependent upon training, transferable skills, work experience, business needs, and market demands.