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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data & AI Lead Engineer - (Databricks Professional) - Remote - 90407740 - Washington - **Company:** Amtrak - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $103,700.0 - $134,460.0 - **Contract:** Contract - **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Bioinformatics, Information Systems, Information Engineering, Data Governance, Data Systems, Python (Programming Language), Meta-Data Management, Performance Tuning, Cloud Services, SQL Databases, Systems Integration, Data Strategy, Information Technology, Machine Learning Operations, Data Pipelines, Databricks, Programming Languages - **Published:** August 26, 2026 - **Apply:** https://www.careerjet.com/job/us2e3aa6ac37e139a7cf3c0cebbe9b13c8/eaa ## About the Role * Education: Bachelor's degree in Computer Science, Information Systems, or a related field; equivalent professional experience may be accepted. * Experience: 6-8 years of experience in data engineering, AI systems development, or related technical roles with increasing leadership responsibility. * Licenses/Certifications: None required., * 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. * Prior mentorship or technical leadership of multi-functional project teams. Required Knowledge, Skills and Abilities: * Advanced proficiency in SQL, programming languages (e.g., Python, Scala, or Java), and Databricks. * Proven experience leading the delivery of complex data pipelines, integrations, or AI 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. * Excellent communication, collaboration, and problem-solving abilities. ## Description The Data & AI Lead Engineer serves as a hands-on technical leader responsible for designing, implementing, and overseeing the delivery of enterprise data and AI solutions that power Amtrak's digital transformation. This role combines deep technical expertise with project leadership, ensuring that data systems and AI capabilities are built to be scalable, reliable, secure, and aligned with governance standards. Leads operate across multiple product or platform teams, guiding design decisions, mentoring engineers, and managing the execution of complex initiatives. They balance delivery and innovation driving improvements in platform efficiency, engineering maturity, and the overall quality of Amtrak's data and AI ecosystem. Essential Functions: * Lead the design, development, and deployment of enterprise-scale data and AI solutions from concept through production. * Provide hands-on technical guidance in coding, pipeline development, model deployment, and integration patterns. * Plan and coordinate engineering deliverables, ensuring adherence to technical standards, governance, and security policies. * 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., 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., Databricks Data Engineer - Remote, Washington, DC Duration: 3 months Seeking for a skilled Databricks Data Engineer to develop and maintain data solutions using the Databricks … + 2 months ago ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Big Business, Big Barriers? 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