Amtrak, the national rail operator, also known as The National Railroad Passenger Corporation, is a publicly funded railroad service headquartered in Washington
Data and AI Senior Engineer
Location
United States
Posted
9 days ago
Salary
$86.5K - $112.0K / year
Seniority
Senior
Job Description
Data and AI Senior Engineer
Amtrak
Title: Data & AI Senior Engineer - 90405345 - Remote Location: United States Job Description: Washington, DC, US, 20001 Wilmington, DE, US, 19801 Chicago, IL, US, 60607 Philadelphia, PA, US, 19104 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: Remote 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. PREFERRED QUALIFICATIONS: - Experience in a leadership capacity within a scaled agile environment or data platform modernization initiative. - Familiarity with enterprise data governance, metadata management, and security standards. - Exposure to MLOps, cloud data platforms, and automation tools that accelerate delivery. - Experience implementing production-grade MLOps pipelines, including model versioning, CI/CD, monitoring, and governance controls embedded into data and AI workflows. - Prior mentorship or technical leadership of multi-functional project teams. 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. Learn more about our benefits offerings here. Requisition ID:166067 Work Arrangement:06-Onsite 4/5 Days Click here for more information about work arrangements at Amtrak. Relocation Offered:No Travel Requirements:Up to 25% You power our progress through your performance. We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen. Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. In accordance with DOT regulations (49 CFR § 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. §1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. Note that any education requirement listed above may be deemed satisfied if you have an equivalent combination of education, training and experience. Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
Principal Data Engineer
CitizensCitizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Role Description - Set a clear and comprehensive vision for the credit and debit card servicing experiences, based on market analysis, business needs, and technical feasibility. - Develop, prioritize, and communicate the product backlog to the development team and relevant stakeholders. - Collaborate with UX/UI experts to ensure the creation of intuitive, user-friendly product experiences. - Leverage UML modeling to create structural and behavioral diagrams for applications, facilitating a clear understanding of the product's architecture and functionality. - Implement and manage robust CI/CD processes to streamline the product development and deployment pipeline. - Work closely with domain architects and subject matter experts to ensure efficient project development strategies. - Utilize data analytics to measure development progress and effectiveness against objective key results (OKRs). - Collaborate with Software Test Engineers to identify areas for automation testing and ensure high-quality products through black-box, functional, regression, and user acceptance testing (UAT). - Gather technical requirements for application programming interfaces (APIs), web services, batch jobs, and mobile applications. - Coordinate with external vendors to ensure smooth API integration and management of API request and response parameters. - Ensure that products meet all security and compliance standards. - Implement security best practices and conduct regular security assessments to identify and mitigate potential risks. Qualifications - Master’s degree in Information Technology, Computer Science, or related field and 3 years of experience as Digital Experience Owner, Product Owner, or a closely related position. - In the alternative, employer will accept a Bachelor’s degree in the specified fields and 5 years of the specified progressive, post-baccalaureate experience. - Must have at least 3 years of experience with: - Utilizing Jira, HP Quality Center, TFS - Project Management, and Microsoft Project to efficiently manage tasks, track progress, and ensure successful project execution. - Utilizing Confluence, Google Docs, and Microsoft SharePoint to effectively document project requirements, designs, and architectural diagrams. - Utilizing Figma, Sketch, and Adobe XD to create product experiences and visually represent product architecture and functionality through UML modeling. - Utilizing Splunk, Google Analytics, and Adobe Analytics to gain insights into user behavior and make data-driven decisions to improve product features. - Utilizing Git, GitHub, and Bitbucket to manage code and promote collaboration among developers. - Implementing CI/CD processes using Jenkins and GitLab CI/CD to streamline the product development and deployment pipeline. - Utilizing Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to deploy scalable and reliable products and services. - Utilizing Postman and Swagger (OpenAPI) to effectively design, test, and document APIs. - Utilizing Selenium and TestRail to conduct automated testing for web applications, ensuring efficient and repeatable testing processes. - Utilizing Datadog to identify and address performance issues and bottlenecks in web applications and services. - Utilizing Lucidchart, Draw.io, MS Visio, and Visual Paradigm to create flowcharts, diagrams, and visual representations of processes and systems. - Utilizing Salesforce administration tasks, including user management, security settings, and data access controls, to secure and organize Salesforce environments. - Utilizing Tableau Prep for data preparation, transformation, cleaning, and structuring. - Utilizing change management tools, including ServiceNow and Jira Service Management, to facilitate transitions during product implementations and updates. - Utilizing Tableau and Power BI to conduct financial and business analysis. Benefits - 100% remote work permitted from any US location. - Worksite: One Citizens Bank Way, Johnston, RI 02919 United States, 40 hrs/wk. Company Description For summary of benefits and to apply visit our website at https://jobs.citizensbank.com and apply online (Job ID: 48179) or email resume and cover letter to Recruiting@Citizensbank.com with subject line: 48179. Direct applicants only. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Equal Employment and Opportunity Employer Job Applicant Data Privacy Policy Background Check: Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.
• Du entwickelst, implementierst und optimierst skalierbare Data Pipelines für zuverlässige und sichere Datenflüsse. • Du modellierst und transformierst Daten nach modernen Best Practices, inklusive Versionierung, Historisierung und sauberer Dokumentation. • Du entwickelst und betreibst ETL und ELT Prozesse sowie orchestrierte Datenpipelines. • Du arbeitest mit modernen Cloud Technologien, bevorzugt AWS und unterstützt den Ausbau unserer Data Platform. • Du nutzt Infrastructure as Code, idealerweise mit Pulumi oder Terraform, um unsere Datenplattform stabil und skalierbar weiterzuentwickeln. • Du analysierst und optimierst Datenprozesse im Hinblick auf Performance, Skalierbarkeit, Stabilität und Datenqualität. • Du arbeitest eng mit Data Scientists, Analysten, Produktteams und Entwickler:innen zusammen, um datengetriebene Entscheidungen im Unternehmen zu ermöglichen. • Du bringst dich aktiv in die Weiterentwicklung unserer Data Engineering Standards ein und hilfst dabei, unsere bestehende BI und Data Landschaft zu modernisieren.
Senior MLOps Engineer / Data Scientist
LuxoftLuxoft, a division of DXC Technology, is a digital strategy and software engineering firm offering a range of technology services, including cloud solutions, da
Role Description We are seeking a highly skilled Senior MLOps Engineer / Data Scientist with a strong background in the Retail industry and Order-to-Cash (O2C) domains. The ideal candidate brings extensive development experience, including a deep foundation in programming and automation. In this role, you will bridge the gap between data science and production engineering. You will design, build, and maintain end-to-end Machine Learning pipelines. You will leverage Snowflake ML and Python to deploy scalable models. You will also use Azure DevOps for robust CI/CD automation. Additionally, you will translate complex data into actionable business insights using Power BI. Qualifications - Python Expertise: Minimum of 5+ years of hands-on, professional Python development experience writing clean, production-grade code. - Snowflake Ecosystem: Hands-on experience with Snowflake ML tools (Snowpark, Cortex AI, or Feature Store). - DevOps Tools: Proven experience with Azure DevOps, Git, and automated CI/CD workflows. - BI Tools: Strong knowledge or experience with Power BI, including DAX and data modeling techniques. - Domain Experience: Deep understanding of the Retail industry and functional knowledge of the Order-to-Cash (O2C) process. - Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Requirements - End-to-End MLOps: Design, deploy, and monitor scalable ML pipelines from data ingestion to model deployment and retraining. - Snowflake ML Development: Utilize Snowpark, Snowflake Cortex AI, and Model Registry to build and manage in-data-warehouse machine learning solutions. - Pipeline Automation: Build and maintain CI/CD pipelines using Azure DevOps for seamless, automated model deployment and testing. - Domain Analytics: Apply ML models to optimize the Order-to-Cash (O2C) lifecycle, improving cash application, billing efficiency, and credit risk assessments. - Retail Solutions: Deliver data-driven solutions for retail use cases, including demand forecasting, inventory management, and customer analytics. - Business Intelligence: Create interactive Power BI dashboards and data models to translate complex ML outputs into clear executive insights. Benefits - Must have: 9+ years of Domain Experience in Retail Industry, Demand forecasting, Inventory optimization, Customer analytics, Order-to-Cash (O2C) Billing, Cash application. - Nice to have: Azure Machine Learning, Docker, Kubernetes, MLflow, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Snowflake SQL, ETL/ELT, Data Warehousing, Azure Data Factory, Power Query, Time Series Forecasting, Demand Forecasting, Inventory Management, Customer Analytics, Credit Risk Analytics, REST APIs, PyTest, Agile/Scrum, Statistics, Feature Engineering, Experiment Tracking. Company Description English: C1 Advanced Seniority: Senior
Data Engineer
Lancesoft Inc.LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch. Meet Your Recruiter Aman Bairagi
Role Description Data Analyst - Finance Data Platform - Purpose: Support data validation, data reconciliation, and reports development for the Finance mainframe application modernization and data platform migration to modern GCP-based data platform. - Outcome: Identify data variance between legacy and modern platforms for modern Finance applications and 2 quarter parallel operation. Collaborate with product and business teams to identify root causes for the variances and resolve/document the variance to assist on Go-Live decision. - Core Skill: Hands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform. Qualifications - Senior level (5+ years) hands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform. - Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools. - Good experience with Python/Pyspark coding for data movement and analysis. - Experience with data visualization and reporting tools such as Power BI, Looker, and LookML for dashboard development, KPI reconciliation, semantic layer validation, and data analysis. - Strong experience in data analysis, data validation, source-to-target reconciliation, duplicate detection, reject/error validation, audit/control total validation, and business rule validation. - Ability to analyze mapping documents, reporting requirements, transformation logic, data lineage, and data quality rules. - Experience creating reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation. - Strong communication and collaboration skills with the ability to work closely with engineering, product, finance, business, and legacy system teams. Requirements - Develop queries and dataset required to validate legacy vs modern applications datasets to identify data variances. - Develop reports using end user visualization tools to present the variances and trends between sources. - Document data variances and identified root causes in collaboration with Product Manager/Engineers/Business Teams and get business sign off for known variances. - Build dashboards for data variance trend for the stakeholders and assist on determining tolerance thresholds for Go Live decisions. - 5+ years working in data analytics role. - 1-3 years of experience working in agile team. Benefits - Four options of medical Insurance - Dental and Vision Insurance - 401k Contributions - Critical Illness Insurance - Voluntary Permanent Life Insurance - Accident Insurance - Other Employee Perks