WHO WE ARE

Overhaul is a supply chain integrity solutions company that allows shippers to connect disparate sources of data into the first fully transparent situational analysis engine designed for the logistics industry. Data that is transformed into critical insights can instantly trigger corrective actions, impacting everything from temperature control to handling requirements or package-level tracking, ensuring cargo arrives at its destination safely, undamaged, and on time. We are a dynamic, innovative, and fun team who is highly committed to our customers’ experiences and our Mission and Vision.

JOB SUMMARY

We are seeking an experienced and passionate Senior Data Engineer to join our Data Platform team. You will be joining a small team responsible for architecting, building, and maintaining the scalable, enterprise-grade data systems that power our data products and capabilities. You’ll straddle the worlds of DataOps, MLOps, and Infrastructure, enabling both the next generation of analytics functionality and an AI Platform to fuel our AI-driven product innovation.
Since data engineers are responsible for their pipelines at Over-haul, this role requires engineers to take ownership of the operational excellence in their domain. In addition, the ideal candidate will have excellent data intuition and share our passion for continuously improving how we handle streaming data at Over-haul.
This position is based in Austin, Texas, but remote work is available.

WORK EXPERIENCE

• Experience with Cloud based Data Lake Tools
• Experience with designing and implementing data pipelines
• Python and SparkSQL/Spark experience

CERTIFICATIONS AND EDUCATION

• BS in Computer Science or Related field preferred, but not required
• Top employee health and well- being benefits
• Care giver/adoption/family leave
• Flexible Time Off Policy
• Casual dress
• Perks and discounts through employee assistance program

• Design and maintain streaming data pipelines using Databricks, and Spark
• Create ML Pipelines to feed data and update a variety of models.
• Develop ML models to enhance predictive analytics capabilities and support decision-making processes across various departments.