Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and optimizing high-load backend services and data pipelines for a distributed data platform with an accent on data quality, ingestion services, and core data pipelines. Focus on developing data quality frameworks, adopting IaC for platform configuration, and improving BI self-service through LLM-powered tools.

Location: Fully remote (work from anywhere)

Salary: $80,000–$120,000 USD

Company

hirify.global is a next-generation platform for search and discovery in ecommerce, utilizing transformers and generative LLMs to optimize revenue, conversion rate, and profit.

What you will do

• Maintain and develop data pipeline job frameworks and core batch/streaming data pipelines.
• Develop and drive adoption of the Data Quality framework.
• Maintain and develop public-facing data ingestion services handling high RPS.
• Contribute to API services and LLM-powered analytics tools.
• Take part in an on-call rotation for data platform incidents.
• Work closely with data scientists, ML engineers, and analytics teams to improve platform reliability and usability.

Requirements

• Fluent English.
• 4+ years building production services and data pipelines (batch and/or streaming).
• Strong experience with Python or readiness to ramp up quickly.
• Hands-on experience with at least one MPP system (e.g., Spark, Trino, Redshift).
• Hands-on experience operating services in a cloud environment (AWS preferred).

Nice to have

• Terraform/CloudFormation or other IaC tools.
• ClickHouse or similar analytical databases.
• Experience with data quality/observability tools.

Culture & Benefits

• Unlimited vacation time (minimum 3 weeks encouraged annually).
• Fully remote team with a work-from-home stipend.
• Apple laptops provided for new employees.
• Annual training and development budget.
• Maternity & Paternity leave for qualified employees.
• Regular team offsites for connection and collaboration.