Data Platform Engineer: Cloud, Graph DB & API Design

BETA Technologies; South Burlington (VT); On-site; USD 100,000 - 140,000; Full time

Job summary

BETA Technologies is seeking a hands-on data and platform engineer to design, deploy, and operate scalable data infrastructure across the enterprise. You will collaborate with data scientists and domain engineers to build robust systems that enable data discovery, seamless access, and reuse across diverse data sources.

The role centers on cloud-native architectures, graph databases, and API design (GraphQL/REST).

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field.
• 3+ years building and shipping data or platform infrastructure in production, with ownership of system availability, performance, and incident response.
• Strong software engineering fundamentals including clean code practices, testing, and building maintainable systems.
• Provisioned, configured, and operated cloud-based data services in production (preferably on AWS).
• Built or maintained systems using graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and designed graph data models.
• Designed and built APIs that other teams or systems depend on, with working knowledge of GraphQL.
• Proficiency with modern data engineering tools and languages (e.g., Python, SQL).
• Designed and built data pipelines and data models that ingest and transform data from diverse sources to serve multiple consumers or use cases.
• Built and maintained CI/CD pipelines, infrastructure as code, and containerized deployments (e.g. Docker, Kubernetes) for production systems.

Responsibilities

• Design, build, and operate scalable data platform services and frameworks that empower domain teams to manage their data assets within a cohesive enterprise architecture.
• Implement data integration solutions that create a digital thread connecting information across the entire product lifecycle from design through manufacturing to field operations.
• Build and maintain data storage systems including data lakes, warehouses, and graph databases that make organizational data accessible and ready to power advanced analytics and AI.
• Create and extend enterprise data catalog capabilities that document what data exists across organizational systems, how it is structured, and how it connects, enabling teams across the company to navigate the full data landscape.
• Develop and expose performant data access layers using technologies such as GraphQL and REST APIs, providing intuitive interfaces to complex underlying data.
• Deploy, monitor, and manage production data systems on cloud infrastructure, ensuring high availability, performance, and reliability.
• Implement data quality and lineage solutions that ensure accuracy and traceability across diverse data types; essential for aerospace compliance and establishing a trusted foundation for analytics and AI.
• Build and maintain CI/CD pipelines, infrastructure as code, and automated deployment processes that keep our data platform agile, reproducible, and production-ready.
• Partner with cross-functional teams on DataOps practices and data governance to keep data assets trusted, accessible, and well-managed.
• Actively contribute to a collaborative team environment through code reviews, knowledge sharing, and constructive feedback that continuously improves our data solutions and maintains high engineering standards

Skills

Data infrastructure

Graph databases

GraphQL

Python

SQL

Cloud services

CI/CD pipelines

Infrastructure as code

Docker

Kubernetes

APIs design

Troubleshooting

Software engineering

Testing

Communication

Education

Bachelor's degree

Tools

Neo4j

Amazon Neptune

Stardog

GraphQL

Docker

Kubernetes

AWS

Job description

BETA Technologies is seeking a hands-on data and platform engineer to design, deploy, and operate scalable data infrastructure across the enterprise. You will collaborate with data scientists and domain engineers to build robust systems that enable data discovery, seamless access, and reuse across diverse data sources.

The role centers on cloud-native architectures, graph databases, and API design (GraphQL/REST).