Senior Data Platform Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $165k - $205k / year

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

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Greenhouse Software

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

☁️ SaaS

👥 HR Tech

🏢 Enterprise

SaaS • HR Tech • Enterprise

Greenhouse Software is a leading provider of hiring software solutions designed for people-first companies. The company offers a comprehensive recruitment and onboarding platform that enhances every aspect of the hiring process. Greenhouse Software focuses on structured hiring and diversity, equality, and inclusion, helping organizations improve their recruitment outcomes and create better experiences for candidates. Their tools are aimed at optimizing the efficiency and effectiveness of hiring teams, reducing biases, and leveraging automation to accelerate talent acquisition. Greenhouse Software partners with other technology providers to offer integrations and additional functionalities, making it a versatile choice for both small and large enterprises worldwide.

📋 Description

• Build, maintain, and modernize the data infrastructure that Medium's product and engineering teams depend on • Own reliability of data infrastructure: Identify risks, instrument better observability, drive improvements that reduce toil • Bring a product mindset to platform ownership, partnering with engineers and stakeholders across teams • Contribute to the long-term platform roadmap, migrate end-of-life systems toward modern alternatives • Write and review Python-based tooling for pipeline orchestration, data quality, and infrastructure automation • Apply DevOps and SRE best practices • Mentor teammates and improve shared standards around reliability, documentation, and platform ergonomics • Attend Medium's twice-yearly, in-person offsites

🎯 Requirements

• 4–6 years of experience across data engineering, backend engineering, DevOps, or SRE • Proficient in Python • Comfortable working across the stack with data pipeline tooling (Snowflake, dbt, Spark, etc.), cloud infrastructure (AWS), and backend services work • Approach legacy systems with curiosity • Care about downstream users and understand the measure of a great platform • Experience with Snowflake, Kubernetes, data observability tooling, or ML infrastructure is a plus • Good instincts about systems, adaptable and eager to learn • Advocate for approach while remaining open to better ideas

🏖️ Benefits

• Healthcare benefits covered at 100% for employees and 80% for dependents • Generous parental leave policy • Mental health support through Spring Health (or find a provider through Rula or Kaiser Mental Health Network) • Financial wellness support through Northstar • Stipends for co-working, professional development, wifi, and a one-time home office bonus • Unlimited PTO and standard company holidays • A discounted Medium membership