[Remote] Data & AI Senior Engineer - 90405345 - Remote Job Details | Amtrak

Note: The job is a remote job and is open to candidates in USA. Amtrak is a leading transportation company dedicated to connecting businesses and communities across the United States. They are seeking a Data & AI Senior Engineer to lead the design and delivery of complex data and AI solutions that enhance Amtrak's analytics and operational systems while mentoring junior engineers and influencing design decisions across teams.ResponsibilitiesLead the design and evolution of scalable data and AI platform capabilities across Databricks (lakehouse), SAP data environments (e.g., Datasphere/S/4), and virtualization layers (e.g., Denodo) to deliver a unified, governed, self-service ecosystemProvide hands-on technical guidance in coding, API-first integrations, model lifecycle management, pipeline development, and integration patternsArchitect and enforce engineering standards across ingestion, transformation, feature engineering, model deployment, and governance-as-code controls embedded directly into pipelinesMentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellencePartner with architects, product owners, and governance leads to align solutions with Amtrak’s enterprise data strategy and roadmapDesign and implement reusable platform accelerators including APIs, templates, and feature engineering patterns that enable self-service analytics and AI across domainsSkillsBachelor's degree in Computer Science, Data Engineering, or a related technical field; equivalent experience may be considered4–6 years of experience in data engineering, software development, or data architectureAdvanced proficiency in Python and SQL with deep experience in distributed data processing (e.g., Spark) and modern lakehouse architectures (Databricks strongly preferred), including integration of SAP data platforms and virtualization technologies into enterprise-scale solutionsStrong understanding of data quality, observability, and performance optimizationDemonstrated ability to lead teams through technical challenges while remaining hands-on in design and codingExperience working within agile product teams, coordinating across multiple stakeholdersStrong understanding of API-first and event-driven architecture patterns, including secure service-to-service communication and role-based access control (RBAC)Experience embedding data quality validation, schema enforcement, lineage tracking, and policy-as-code controls directly into pipelines and AI workflowsExcellent communication, collaboration, and problem-solving abilitiesExperience building reusable cost effective, feature stores, semantic layers, or internal platform services that enable self-service analytics and AIExperience in a leadership capacity within a scaled agile environment or data platform modernization initiativeFamiliarity with enterprise data governance, metadata management, and security standardsExposure to MLOps, cloud data platforms, and automation tools that accelerate deliveryExperience implementing production-grade MLOps pipelines, including model versioning, CI/CD, monitoring, and governance controls embedded into data and AI workflowsPrior mentorship or technical leadership of multi-functional project teamsBenefitsHealth, dental, and vision plansHealth savings accountsWellness programsFlexible spending accounts401K retirement plan with employer matchLife insuranceShort and long term disability insurancePaid time offBack-up careAdoption assistanceSurrogacy assistanceReimbursement of education expensesPublic Service Loan Forgiveness eligibilityRailroad Retirement sickness and retirement benefitsRail pass privilegesCompany OverviewAmtrak is a provider of intercity passenger rail services across the country, connecting major cities and regions. It was founded in 1971, and is headquartered in Washington, District of Columbia, USA, with a workforce of 10001+ employees. Its website is https://www.amtrak.com/.Company H1B SponsorshipAmtrak has a track record of offering H1B sponsorships, with 12 in 2026, 57 in 2025, 40 in 2024, 50 in 2023, 52 in 2022, 42 in 2021, 34 in 2020. Please note that this does not guarantee sponsorship for this specific role.