Data Engineer

Archer is an aerospace company based in San Jose, California building an all‑electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all‑electric aircraft that can carry four passengers while producing minimal noise.

Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.

We are looking for an experienced Data Engineer to specialize in aviation data and analytics, focusing on two critical areas: scalable and efficient processing of flight test data for rapid design iteration and near‑real‑time analysis of aircraft health data for predictive maintenance. This role is vital for accelerating our aircraft design and improvement processes through efficient, scalable data processing and for ensuring operational reliability and safety through advanced predictive analytics.

• Architect, build, and optimize our data processing systems to ensure reliability, efficiency, and scalability.
• Develop and optimize ETL processes, data models, and data architectures for data transformation, structures, metadata, and workload management.
• Develop and maintain data models that support analytics, reporting, and custom app development.
• Create robust data quality observability, monitoring, testing, and validation frameworks.
• Engage actively with analytics teams and business stakeholders to understand their data needs, ensuring the data architecture supports decision‑making processes effectively.
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems.

• Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or a related field.
• At least 3 years experience in data or software engineering with background implementing best practices for SQL and programming languages (e.g. Python, Go, Rust).
• Experience designing and managing data warehouse / lakehouse architectures for high performance and low latency.
• Led development of real‑time data pipelines using Kafka or related technologies.
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure).
• Deep understanding of data security and quality governance.
• Deployed and scaled data workloads using Docker and Kubernetes, with the ability to manage compute resources for high‑volume processing.
• Familiarity with ERP systems and how to extract data to build custom tools & applications.
• Knowledge of integrating Gen AI into production data workflows.
• Exceptional analytical skills, attention to detail, and the ability to collaborate effectively across multidisciplinary teams.
• Clear communication skills that are essential for working across diverse stakeholders.

• Solid foundation in machine learning and other data science fundamentals.
• Familiarity with time series data applications and related technologies.
• Experience with Infrastructure as Code (Terraform, Cloud Formation).
• Advanced skills in predictive analytics and machine learning models for maintenance and anomaly detection.
• Experience in aerospace or a related field, particularly with flight test data analysis and aircraft health monitoring.

Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay‑for‑performance culture and reward performance that supports the Company’s business strategy. Actual compensation offered will be determined by factors such as job‑related knowledge, skills, and experience.

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are…