Software Engineer, Data Infrastructure

Wing•Palo Alto, CA

2d•$190,000 - $202,000•Hybrid

About The Position

Wing is looking for a Software Engineer, Data Infrastructure to join our Flight Systems team. This role is Hybrid based in our Palo Alto, California headquarters. The Data Infrastructure team builds the foundational systems that manage the vast data generated by our global fleet of autonomous aircraft. In this role, you will design, build, and maintain the scalable data pipelines that collect, process, and store aircraft telemetry and logs, making flight data securely accessible for analysis, machine learning and AI. Your work will empower engineering and flight operations teams to understand aircraft performance and debug issues in the fleet, while also providing the datasets necessary to train and validate machine learning models and leverage Large Language Model AI platforms. Ultimately, you'll provide the data backbone that is essential for scaling Wing's operations safely and efficiently.

Requirements

3-6 years of experience programming backend systems and/or data pipelines
BA/BS degree in Computer Science, Mathematics, or a related technical field, or equivalent practical experience.
Demonstrated coding experience with one or more languages - C++, Java, Python, Go and/or JavaScript.
Experience with data analysis tools (such as BigQuery, SQL), data visualization tools, and with data processing algorithms (Hadoop, Flume, Spark, Apache Beam, MapReduce)
Ability to independently work with cross-functional teams to drive features to completion.

Responsibilities

Partner cross-functionally with software engineers, aerospace engineers, and flight operations/business teams to develop, deliver and scale data pipelines essential for Wing's delivery business and aircraft operations.
Integrate diverse data sources across the business to provide a consistent, accurate view of flight operations, aircraft fleet, infrastructure, and business performance.
Develop and optimize a mix of batch and interactive services across data pipelines, backend systems, and data serving systems to power our operations.
Monitor, validate, and maintain data pipelines to ensure consistent performance and data integrity.