Senior Data Engineer (US)

Location: Remote - US

Company

hirify.global's Product Engineering department builds and maintains scalable data and analytics solutions.

What you will do

• Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions.
• Build natural-language interfaces over data warehouses and analytics using GenAI and LLM techniques.
• Use GenAI coding tools to improve code quality, testing, and delivery speed.
• Establish standards for SQL development, data modeling, testing, documentation, code reviews, and production support.
• Support production pipelines through on-call rotation and incident response.
• Partner with engineering, analytics, business, and product management teams to translate business needs into technical solutions.

Requirements

• Must be based in the US and work remotely.
• Bachelor's degree in Computer Science or a related field, or equivalent professional experience.
• 8+ years of experience building reliable, high-performance distributed systems, especially streaming and data pipelines.
• Experience with multi-tenant SaaS, natural-language data interfaces, and GenAI/LLM techniques.
• Enterprise experience with an analytical warehouse or query engine such as StarRocks, Amazon Redshift, Snowflake, Databricks, or Trino.
• Expertise in SQL and hands-on experience with AWS or GCP, Kafka, Spark, data modeling, warehousing, and Python.

Nice to have

• Experience with Cube or another semantic layer.
• Experience with Airflow or similar scheduling tools.
• Familiarity with Metabase.
• Proficiency in Ruby on Rails, React, or other adjacent languages.