

Sr Data Information Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Information Engineer in Washington, DC, on a contract basis. It requires 15+ years of experience in data modeling and architecture, preferably in transportation, with skills in NoSQL, database tuning, and API management.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 28, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Washington, DC
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π§ - Skills detailed
#API (Application Programming Interface) #Data Integrity #Security #NoSQL #Database Management #Data Architecture #Databases #Database Tuning #Data Modeling #Leadership
Role description
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Role -Sr Data Information Engineer
Location - Washington, DC- HYbrid
Contract
Job Description
Our client, a major transportation organization based in Washington, DC, is seeking a Senior Data Information Engineer to lead the design and implementation of data architecture across its Transportation Operations ecosystem. This highly strategic role requires expertise in data modeling, architecture standards, and enterprise information design. The ideal candidate will bring over 15 years of experience working with relational, NoSQL, and streaming data technologies in large-scale environments. Prior experience in the rail or transportation domain is strongly preferred. This role plays a critical part in aligning data models with enterprise standards, optimizing system performance, and ensuring security and integrity across the data landscape.
Key Responsibilities:
β’ Lead the overall design of information architecture and data models for Transportation Operations systems
β’ Define and maintain standard data, event, and API contracts within the ecosystem
β’ Collaborate with business clients, analysts, architects, and engineering teams to align solutions with enterprise architecture
β’ Guide the selection and use of appropriate data and information technologies
β’ Perform advanced modeling for databases, events, and APIs
β’ Optimize query performance and conduct advanced database tuning
β’ Ensure data integrity across a distributed system portfolio
β’ Conduct architecture reviews and recommend enhancements
β’ Provide technical leadership and mentorship on data technologies
β’ Support and troubleshoot data-related issues across the organization
β’ Stay abreast of emerging data technologies and evaluate their applicability
β’ Define and implement database management, security, and maintenance standards
β’ Align architecture with Amtrak Enterprise Information Management (EIM) standards