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Archer · 5 hours ago

Data Engineer

San Jose, California, United States

Full-time

Onsite

Mid Level

3+ years exp

Archer is an aerospace company based in San Jose, California, focused on advancing sustainable air mobility through innovative aircraft design. They are seeking an experienced Data Engineer to optimize data processing systems and support analytics for aviation data, ensuring operational reliability and safety.

AerospaceAir TransportationElectric VehicleManufacturing

No H1B

Responsibilities

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

Qualification

Data engineeringETL processesCloud data platformsReal-time data pipelinesData warehouse architecturesData quality governanceDockerKubernetesGen AI integrationAnalytical skillsAttention to detailCollaborationCommunication skills

Required

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