Data Platform Engineer | Digital Operations
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Job Location:
South Burlington, VT - USA
Monthly Salary:
Not Disclosed
Posted on:
3 days ago
Vacancies:
1 Vacancy
Job Summary
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 Platform Engineer to join our Data and AI Platform team bringing strong hands-on engineering skills and a builders mindset to help design deploy and operate the data and knowledge infrastructure that powers our 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:
- Bachelors 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
$110000 - $130000 a year
Build electric airplanes with us!
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. Youll 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 yesflight lessons are part of the experience along with a range of additional perks that make work here genuinely rewarding.
We encourage all driven candidates to apply even if they do not meet every listed qualification.
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 or 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
BETA Technologies is an electric aerospace company developing vertical take-off and landing (eVTOL) aircraft and supporting charging infrastructure that enables greener, safer and more efficient transportation.
