Job Details

Join a mission-driven team building the world’s most reliable on-demand logistics engine of US. As a Data Platform Engineer in Humble, 

You’ll play a critical role in designing and scaling our next-generation data lakehouse infrastructure, enabling high-throughput analytics while ensuring regulatory compliance and trust in our data systems. This hybrid role is based in the Humble TX.

Location: Hybrid – Humble Texas

Salary Range: Competitive – Based on experience

Job Type: Full-Time | Hybrid | Software Engineering Job

Key Responsibilities:

• Design, develop, and maintain a high-scale data lakehouse infrastructure
• Scale the lakehouse to support hundreds of petabytes of data
• Integrate the platform with various compute engines for streamlined access
• Drive adoption of lakehouse technology across internal teams
• Optimize for cost-efficiency, reliability, and performance
• Collaborate cross-functionally in a fast-paced environment

Key Requirements:

• Bachelor's/Master’s/Ph.D. in Computer Science or related field
• 2+ years of experience in Big Data infrastructure
• Proficiency in Scala, Java, or Python
• Familiarity with technologies like Apache Iceberg, Spark, Kafka, Flink, or Airflow
• Willing to work hybrid in Humble Texas

Why Join Us:

• Be part of a small, high-impact team
• Contribute to critical data architecture for a global business
• Collaborate with top-tier engineers in a dynamic startup culture
• Opportunity to shape the future of our’s data platform

Encouraging Note:

If you’re passionate about building large-scale data systems and want to help power insights and innovation across a global platform, this is your moment. Join us to more accessible, trustworthy, and powerful than ever before.