Data Platform Engineer | Data & Platform
BETA Technologies2 months ago
South Burlington, VT, USAMid Level
H1B sponsor
Base Salary
$105k - $125k/yr
Responsibilities
- Design, build, and operate scalable data platform services and frameworks for enterprise data management.
- Implement data integration solutions connecting information across the product lifecycle from design through manufacturing and field operations.
- Build and maintain data lakes, warehouses, graph databases, data pipelines, and data models for analytics and AI use cases.
- Create and extend enterprise data catalogs documenting data assets, structures, and relationships.
- Develop performant GraphQL and REST API access layers for complex underlying data.
- Deploy, monitor, and manage production data systems on cloud infrastructure for high availability, performance, and reliability.
- Implement data quality and lineage solutions supporting accuracy, traceability, aerospace compliance, analytics, and AI.
- Build and maintain CI/CD pipelines, infrastructure as code, containerized deployments, and automated deployment processes.
- Partner with cross-functional teams on DataOps and data governance practices.
- Contribute through code reviews, knowledge sharing, troubleshooting, and constructive feedback.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related technical field, or equivalent practical experience.
- At least 3 years of experience building and shipping production data or platform infrastructure with ownership of availability, performance, and incident response.
- Strong software engineering fundamentals, including clean code, testing, and maintainable system development.
- Experience provisioning, configuring, and operating cloud-based data services in production, preferably on AWS.
- Experience building or maintaining graph database systems and graph data models, such as Neo4j, Amazon Neptune, or Stardog.
- Experience designing and building APIs, with working knowledge of GraphQL.
- Proficiency with modern data engineering languages and tools, including Python and SQL.
- Experience designing and building pipelines and data models that ingest and transform diverse data sources.
- Experience with CI/CD pipelines, infrastructure as code, and containerized production deployments using tools such as Docker and Kubernetes.
- Strong full-stack troubleshooting skills and the ability to diagnose and resolve infrastructure and application issues.
- Excellent communication skills for translating technical concepts to diverse audiences.
- Preferred experience includes 5 or more years operating production data platforms at scale, semantic technologies, knowledge graphs, ontology design, distributed computing, event-driven or streaming architectures, metadata management, data lineage, observability, regulated industries, aerospace or manufacturing standards, IoT protocols, and time-series data management.
- Preferred familiarity with AI-assisted development tools such as agentic coding assistants.
Benefits
- Competitive total compensation including Restricted Stock Units and Performance Stock Units for full-time team members.
- Onsite healthcare in Vermont plus medical, dental, and vision coverage.
- Short- and long-term disability coverage and paid parental leave.
- Daily lunch provided and flight lessons.
- Additional employee perks and an inclusive equal-opportunity workplace.
Tech Stack
Categories
BackendData Engineering
About BETA Technologies
BETA Technologies designs and builds electric aircraft and a supporting charging network for aviation operators, logistics providers, and government customers. Its ALIA platform includes eVTOL and conventional-takeoff variants, paired with interoperable rapid chargers deployed at airports and vertiports; revenue comes from aircraft sales, service, and infrastructure. Founded in 2017 and headquartered in South Burlington, Vermont, the privately held company has announced deals with UPS and United Therapeutics and R&D contracts with the U.S. Air Force.