Data Engineer

Archer; San Jose (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Archer, based in San Jose, CA, is seeking a Data Engineer to architect and optimize data processing systems for their all-electric aircraft project. The role demands a Bachelor's or Master's degree in a relevant field and at least 3 years of experience in data or software engineering. Ideal candidates will have strong skills in SQL, Python, and cloud data platforms like AWS or GCP. This position emphasizes collaboration across teams to ensure effective data architectures. Archer is an equal opportunity employer committed to diversity and inclusivity.

Qualifications

• 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.
• Expertise with one or more cloud data platforms (e.g., AWS, GCP, Azure).
• Deep understanding of data security and quality governance.
• Clear communication skills essential for working across diverse stakeholders.

Responsibilities

• Architect, build, and optimize our data processing systems.
• Develop and optimize ETL processes, data models, and data architectures.
• Create robust data quality observability, monitoring, testing, and validation frameworks.
• Support the integration of data systems with aircraft telemetry, flight testing, and operational systems.

Skills

Data processing systems optimization

ETL processes

Data modeling

Data quality observability

SQL programming

Python programming

Cloud data platforms (AWS, GCP, Azure)

Kafka real-time data pipelines

Data security governance

Docker and Kubernetes

Analytical skills

Effective communication

Education

Bachelor’s or Master’s degree in Computer Science, Aerospace Engineering, Data Analytics, or related field

Tools

Docker

Kubernetes

Kafka

Terraform

CloudFormation

Job description

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.

What You’ll Do

• 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

What You Need

• 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

Bonus Qualifications

• 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, CloudFormation)
• 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

Equal Opportunity Employer

Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.