Staff Data Engineer (Data Platform)

TL;DR

Staff Data Engineer (Data Platform): Developing and maintaining scalable data platforms for fair and safe hiring decisions with an accent on building end-to-end performant and reliable systems. Focus on architecting complex data processing pipelines and ensuring data quality at scale.

Location: Hybrid (Denver, CO or San Francisco, CA)

Company

hirify.global is building the data platform to power safe and fair decisions.

What you will do

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
• Mentor and guide junior engineers to deliver complex features.
• Collaborate with customers and internal stakeholders to resolve product ambiguities.
• Monitor, investigate, triage, and resolve production issues.
• Create and maintain data pipelines and foundational datasets.
• Design and build database architectures with massive and complex data.

Requirements

• 10+ years of experience in data platform design and delivery.
• Expert level proficiency in PySpark, Python, and SQL.
• Experience with big data technologies such as Kafka, Spark, and AWS stack.
• Knowledge of security best practices and data privacy concerns.
• Strong problem-solving skills and attention to detail.