Data Platform Engineer | Data & Platform

BETA TECHNOLOGIES; South Burlington (VT); On-site; USD 105,000 - 125,000; Full time

Benefits offered by this job

Onsite healthcare in Vermont

Comprehensive medical, dental and vis

Disability insurance

Paid parental leave

Daily lunch provided

Flight lessons

Stock options (RSUs/PSUs)

Job summary

BETA Technologies in Vermont is building data infrastructure to power electric aviation. We seek a hands-on data/platform engineer to design, deploy, and operate scalable data products across design, manufacturing, and field operations.

You will work with GraphQL/REST APIs, graph databases, and cloud services (AWS), owning data quality, lineage, and CI/CD pipelines end-to-end. If you thrive on solving real infrastructure challenges and communicating across teams, join us to enable analytics and

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.
• 3+ years building and shipping data or platform infrastructure in production.
• Strong software engineering fundamentals including clean code and testing.
• Experience provisioning cloud-based data services (preferably AWS).
• Experience with graph databases (Neo4j, Neptune, Stardog) and graph data models.
• Designed and built APIs with GraphQL knowledge.
• Proficiency with Python and SQL.
• Experience building data pipelines and models from diverse data sources.
• Experience with CI/CD pipelines and infrastructure as code, containerized deployments (Docker, Kubernetes).
• Strong troubleshooting and cross-stack communication skills.

Responsibilities

• Design, build, and operate scalable data platform services.
• Implement data integration across the product lifecycle.
• Build data storage systems (lakes, warehouses, graphs) for analytics.
• Develop data catalogs documenting data assets and connections.
• Expose data via GraphQL and REST APIs.
• Deploy and manage production data systems on cloud infrastructure.
• Implement data quality and lineage for compliance.
• Maintain CI/CD pipelines and IaC for reproducible deployments.
• Collaborate with DataOps and governance teams.
• Contribute to a collaborative team environment via code reviews.

Skills

Software engineering

Python

SQL

Data pipelines

CI/CD

Docker

Kubernetes

Cloud deployment

Troubleshooting

Communication

Education

Bachelor's degree in Computer Science/Information Systems/Data Science or related field

Tools

Docker

Kubernetes

Graph databases

REST APIs

GraphQL

AWS

CI/CD tooling

Job description

At BETA Technologies, we apply our intellectual curiosity, passion for aviation, and commitment to sustainability toward a shared mission of revolutionizing electric aviation. Regardless of the position one holds, each team member brings their talent and desire to positively impact the environment and lives of others in a refreshing, vibrant, and inclusive culture.

We are seeking a bringing strong hands-on engineering skills and a builder's mindset to help design, deploy, and operate the data and knowledge infrastructure that powers our organization. In this role, you will combine software and data engineering fundamentals with practical experience in cloud-native architectures, graph databases, and API design to build robust, scalable production systems that enable rich data discovery, seamless integration, and reliable access across diverse data sources. You will work collaboratively with data scientists, other platform engineers, and domain experts to evaluate, architect, and implement the most appropriate data solutions, and then roll up your sleeves to build, deploy, and maintain them in production. The ideal candidate is a pragmatic, hands-on technologist who thrives on solving real infrastructure and data challenges end-to-end, from initial design through production operations, and who takes pride in building systems that make data more findable, accessible, and reusable across the enterprise.

How You Will Contribute To Revolutionizing Electric Aviation

• 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

Minimum Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience)
• 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
• Strong troubleshooting skills with the ability to diagnose and resolve issues across the full stack from infrastructure through application layers
• Excellent communication skills with the ability to translate technical concepts for diverse audiences

Above And Beyond Qualifications

• 5+ years of experience building and operating production data platforms at scale
• Experience with semantic technologies including knowledge graphs, ontology design, and related standards (e.g., RDF, OWL, SPARQL, SHACL, RML/R2RML)
• Familiarity with AI-assisted development tools such as agentic coding assistants, gained through practical use
• Experience with distributed computing frameworks (e.g., Spark) and/or event-driven and streaming architectures (e.g., Kafka, Kinesis)
• Hands-on experience with metadata management platforms and enterprise data catalogs
• Implemented data lineage and data quality solutions at scale
• Experience with monitoring, observability, and alerting for production data systems
• Experience working in regulated industries or with complex data governance frameworks
• Familiarity with aerospace or manufacturing data standards and regulations
• Knowledge of IoT protocols and time-series data management

The wage listed here reflects our best faith estimate for this role. We pay competitively and base compensation on a variety of factors including skills, experience, industry background, and the evolving needs of the role. We remain committed to fair and equitable pay and we're happy to discuss during the interview process.

Compensation

$105,000—$125,000 USD

BETA offers a competitive Total Compensation package designed to support you now and as you grow with us. This role includes both Restricted Stock Units and Performance Stock Units for all full-time team members, so everyone shares in our success.

You’ll have access to onsite healthcare in Vermont, comprehensive medical coverage, dental and vision, short- and long-term disability, and paid parental leave. We also take care of the everyday details with daily lunch provided, and yes—flight lessons are part of the experience, along with a range of additional perks that make work here genuinely rewarding.

We are an equal opportunity employer. Employment decisions are based on merit, competence and qualifications and will not be influenced in any manner on race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, disability, veteran or military status, genetic information, pregnancy, or any other protected characteristic under federal, state, and local law. BETA complies with all applicable federal, state and local non-discrimination laws and does not tolerate discrimination of any kind in our workplace.

Employment offers are contingent upon the successful completion of a background check. BETA Technologies participates in E-Verify.