Data & AI Senior Engineer - Remote

Data & AI Senior Engineer

Location: Washington, DC, Chicago, IL, Wilmington, DE, Philadelphia, PA Company: Amtrak

Your success is a train ride away! As we move America's workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. Are you ready to join our team? Our values of 'Do the Right Thing, Excel Together and Put Customers First' are at the heart of what matters most to us, and our Core Capabilities, 'Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety & Security' are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future.

Job Summary

Work Environment: Onsite in Philadelphia PA, Washington DC, Wilmington DE or Chicago IL. The Data & AI Senior Engineer advances Amtrak's mission to make trusted, high-quality, and intelligent data broadly accessible for decision-making, automation, and innovation. This role is responsible for leading the design and delivery of complex data and AI solutions that power Amtrak's analytics, operational systems, and digital experiences. Senior Engineers apply deep technical expertise to architect and optimize pipelines, integrations, and data services. They ensure solutions meet performance, security, and governance standards while mentoring junior engineers and influencing design decisions across teams. The Senior Data & AI Engineer acts as both a hands-on developer and a technical leader, helping to scale Amtrak's data and AI capabilities through standardization, reusability, and continuous improvement.

Essential Functions

• Lead 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 ecosystem.
• Provide hands-on technical guidance in coding, API-first integrations, model lifecycle management, pipeline development, and integration patterns.
• Architect and enforce engineering standards across ingestion, transformation, feature engineering, model deployment, and governance-as-code controls embedded directly into pipelines.
• Mentor junior and mid-level engineers, fostering skill development, collaboration, and engineering excellence.
• Partner with architects, product owners, and governance leads to align solutions with Amtrak's enterprise data strategy and roadmap.
• Design and implement reusable platform accelerators including APIs, templates, and feature engineering patterns that enable self-service analytics and AI across domains.

Minimum Qualifications

• Education: Bachelor's degree in Computer Science, Data Engineering, or a related technical field; equivalent experience may be considered.
• Experience: 4–6 years of experience in data engineering, software development, or data architecture.

Required Knowledge, Skills and Abilities

Advanced 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 solutions. Strong understanding of data quality, observability, and performance optimization. Demonstrated ability to lead teams through technical challenges while remaining hands-on in design and coding. Experience working within agile product teams, coordinating across multiple stakeholders. Strong 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 workflows. Excellent communication, collaboration, and problem-solving abilities. Experience building reusable cost effective, feature stores, semantic layers, or internal platform services that enable self-service analytics and AI.

The salary/hourly range is $86,500.00 – $111,996.00. Pay is based on several factors including but not limited to education, work experience, certifications, etc. Depending on an employee's assigned worksite or location, Amtrak may consider a geo-pay differential to be applied to the employee's base salary. Amtrak may offer additional incentive and pay programs to recognize and reward our employees, including a short-term incentive bonus based upon factors such as individual and company performance that is commensurate with the level of the position. In addition to your salary, Amtrak offers a comprehensive benefit package that includes health, dental, and vision plans; health savings accounts; wellness programs; flexible spending accounts; 401K retirement plan with employer match; life insurance; short and long term disability insurance; paid time off; back-up care; adoption assistance; surrogacy assistance; reimbursement of education expenses; Public Service Loan Forgiveness eligibility; Railroad Retirement sickness and retirement benefits; and rail pass privileges.