{"id":2984448,"url":"https://alion.io/job/beta-technologies-data-platform-engineer-digital-operations","title":"Data Platform Engineer, Digital Operations","company":{"id":176374,"name":"BETA Technologies","domain":"beta.team","url":"https://alion.io/company/beta-technologies","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":95,"open_postings":114,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":196,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":105000,"max":125000,"currency":"USD","period":"year","gross":null,"usd_annual":125000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GraphQL","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"Neo4j","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-09-18T12:06:35Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-27T04:13:28Z","board_verified":true,"closed_at":null,"days_open":38,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":38},"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.\nWe 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.\nHow you will contribute to revolutionizing electric aviation:\nDesign, build, and operate scalable data platform services and frameworks that empower domain teams to manage their data assets within a cohesive enterprise architecture\nImplement data integration solutions that create a digital thread connecting information across the entire product lifecycle from design through manufacturing to field operations\nBuild 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\nCreate 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\nDevelop and expose performant data access layers using technologies such as GraphQL and REST APIs, providing intuitive interfaces to complex underlying data\nDeploy, monitor, and manage production data systems on cloud infrastructure, ensuring high availability, performance, and reliability\nImplement 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\nBuild and maintain CI/CD pipelines, infrastructure as code, and automated deployment processes that keep our data platform agile, reproducible, and production-ready\nPartner with cross-functional teams on DataOps practices and data governance to keep data assets trusted, accessible, and well-managed.\nActively 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\nMinimum Qualifications:\nBachelor's degree in Computer Science, Information Systems, Data Science, or related technical field (or equivalent practical experience)\n3+ years building and shipping data or platform infrastructure in production, with ownership of system availability, performance, and incident response\nStrong software engineering fundamentals including clean code practices, testing, and building maintainable systems\nProvisioned, configured, and operated cloud-based data services in production (preferably on AWS)\nBuilt or maintained systems using graph databases (e.g., Neo4j, Amazon Neptune, Stardog) and designed graph data models\nDesigned and built APIs that other teams or systems depend on, with working knowledge of GraphQL\nProficiency with modern data engineering tools and languages (e.g., Python, SQL)\nDesigned and built data pipelines and data models that ingest and transform data from diverse sources to serve multiple consumers or use cases\nBuilt and maintained CI/CD pipelines, infrastructure as code, and containerized deployments (e.g. Docker, Kubernetes) for production systems\nStrong troubleshooting skills with the ability to diagnose and resolve issues across the full stack from infrastructure through application layers\nExcellent communication skills with the ability to translate technical concepts for diverse audiences\nAbove and Beyond Qualifications:\n5+ years of experience building and operating production data platforms at scale\nExperience with semantic technologies including knowledge graphs, ontology design, and related standards (e.g., RDF, OWL, SPARQL, SHACL, RML/R2RML)\nFamiliarity with AI-assisted development tools such as agentic coding assistants, gained through practical use\nExperience with distributed computing frameworks (e.g., Spark) and/or event-driven and streaming architectures (e.g., Kafka, Kinesis)\nHands-on experience with metadata management platforms and enterprise data catalogs\nImplemented data lineage and data quality solutions at scale\nExperience with monitoring, observability, and alerting for production data systems\nExperience working in regulated industries or with complex data governance frameworks\nFamiliarity with aerospace or manufacturing data standards and regulations\nKnowledge of IoT protocols and time-series data management\nThe 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.\nCompensation\n$105,000—$125,000 USD\n Build electric airplanes with us!\nBETA 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.\nWe encourage all driven candidates to apply, even if they do not meet every listed qualification.\nWe 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.\nEmployment offers are contingent upon the successful completion of a background check. 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