Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now.

At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus.

Senior Data Engineer

About Acubed 

Founded in 2015, Acubed is the Silicon Valley innovation center of Airbus. As a global leader in aerospace, Airbus aims to make things fly. Our mission is to provide a lens into the future for the industry, transforming risk into opportunity to build the future of flight now. At Acubed, we strive to propel innovation to market faster, broaden the talent pool in emerging aerospace careers and simultaneously help drive a culture change across Airbus. 

WAYFINDER

Our Wayfinder team is building scalable, certifiable autonomy systems to power the next generation of commercial aircraft. Our team of experts is driving the maturation of machine learning and other core technologies for autonomous flight; we are creating a reference architecture that includes hardware, software, and a data-driven development process to allow aircraft to perceive and react to their environment. Autonomous flight is transforming the transportation industry, and our team is at the heart of this revolution.

The Opportunity/ Role Description

We are looking for a Data Engineer who specializes in managing and optimizing data pipelines, with a specific focus on labeling for computer vision. The ideal candidate will have experience in designing and implementing data infrastructure, ensuring high-quality labeled datasets, and collaborating with cross-functional teams to support our computer vision initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable data and labeling pipelines for computer vision projects.
• Manage and optimize data storage solutions to ensure efficient data retrieval and processing.
• Collaborate with machine learning engineers to understand data requirements and ensure the availability of high-quality labeled datasets.
• Develop and maintain tools and processes for data labeling, including annotation workflows, quality control, and validation procedures.
• Implement data governance and security protocols to ensure data hygiene.
• Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines.
• Stay up-to-date with the latest trends and technologies in data engineering and computer vision, and apply this knowledge to improve our data infrastructure and processes.

Qualifications:

• Bachelor’s in Computer Science, Data Engineering, and  3 to 5 years of experience in a related field.
• Proven experience as a Data Engineer, preferably with a focus on computer vision and data labeling.
• Strong programming skills in Python, SQL, and experience with distributed computing.
• Proficiency in data modeling, ETL processes, and data pipeline design.
• Experience with data annotation tools and frameworks.
• Familiarity with cloud platforms (AWS, GCP, Azure), workflow management tools (Airflow, Dagster) and tools that simplify data movement (e.g., Airbyte)
• Strong understanding of OLTP databases like Postgresql is critical in this role.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and the ability to work effectively in a collaborative team environment.

Pay Transparency Notice: Depending on your work location and years of experience, the target annual salary for this position can range from $146,000 to $171,000 + target bonus + benefits (including medical, dental, vision, 401(k), and flight training).

* Note that Acubed does not offer sponsorship of employment-based nonimmigrant visa petitions for this role.