Data Engineer

• Build advanced technology solutions and implement data engineering activities
• Develop and deploy pipelines and platforms that organize disparate data
• Work with analysts, data engineers, developers, and data consumers in a fast-paced, agile environment
• Support the assessment, design, development, and maintenance of scalable client platforms
• Develop scripts and programs to convert various data types into usable formats
• Support project teams to scale, monitor, and operate data platforms
• Use data to support mission-driven projects including fraud detection, cancer research, and national intelligence

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions
• Influence teams of developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns for code quality, maintainability, and reusability
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards including encryption and fine-grained access control to support privacy compliance

• Lead architectural design for large-scale hyperscale cloud data center and colocation projects from early concept through construction administration and closeout
• Collaborate with internal engineering disciplines, construction teams, and external stakeholders to develop coordinated and integrated design solutions
• Develop and review drawings, specifications, and technical documentation for compliance with codes, standards, and client design guidelines
• Coordinate with consultants, contractors, and permitting authorities to support project delivery and regulatory compliance
• Serve as architectural subject matter expert for hyperscale and colocation clients
• Ensure operational efficiency, scalability, and reliability in facility design
• Mentor and guide junior architects and designers
• Maintain and apply knowledge of industry best practices and data center design trends
• Support business development, proposal writing, and conceptual architectural designs for new pursuits
• Work with global AECOM teams on high-profile data center projects
• Participate in occasional, scheduled travel for client meetings, key project milestones, onsite collaboration sessions, or other business-critical activities

Senior Architect, Licensed Building Architect, Data Centers

• Lead architectural design for large-scale hyperscale cloud data center and colocation projects from early concept through construction administration and closeout
• Collaborate with internal engineering disciplines, construction teams, and external stakeholders to develop coordinated and integrated design solutions
• Develop and review drawings, specifications, and technical documentation
• Ensure compliance with codes, standards, and client design guidelines
• Coordinate with consultants, contractors, and permitting authorities to support project delivery and regulatory compliance
• Serve as the architectural subject matter expert for hyperscale and colocation clients
• Ensure operational efficiency, scalability, and reliability in facility design
• Mentor and guide junior architects and designers
• Maintain and apply knowledge of industry best practices and data center design trends
• Support business development, proposal writing, and conceptual architectural designs for new pursuits
• Attend occasional client meetings, key project milestones, onsite collaboration sessions, or other business-critical activities

Senior Architect, Licensed Building Architect – Data Centers

• Lead architectural design for large-scale hyperscale cloud data center and colocation projects from early concept through construction administration and closeout
• Collaborate with internal engineering disciplines, construction teams, and external stakeholders on coordinated and integrated design solutions
• Develop and review drawings, specifications, and technical documentation
• Ensure compliance with codes, standards, and client design guidelines
• Coordinate with consultants, contractors, and permitting authorities
• Serve as the architectural subject matter expert for hyperscale and colocation clients
• Ensure operational efficiency, scalability, and reliability in facility design
• Mentor and guide junior architects and designers
• Apply industry best practices and data center design trends
• Support business development, proposal writing, and conceptual architectural designs for new pursuits
• Travel occasionally for client meetings, key project milestones, onsite collaboration sessions, or other business-critical activities
• Work with global AECOM teams on high-profile data center projects

• Lead architectural design for large-scale hyperscale cloud data center and colocation projects from early concept through construction administration and closeout
• Collaborate with internal engineering disciplines, construction teams, and external stakeholders on coordinated design solutions
• Develop and review drawings, specifications, and technical documentation
• Ensure compliance with codes, standards, and client design guidelines
• Coordinate with consultants, contractors, and permitting authorities
• Serve as architectural subject matter expert for hyperscale and colocation clients
• Ensure operational efficiency, scalability, and reliability in facility design
• Mentor and guide junior architects and designers
• Maintain and apply industry best practices and data center design trends
• Support business development, proposal writing, and conceptual architectural designs for new pursuits
• Work with global AECOM teams on high-profile data center projects
• Attend occasional client meetings, project milestones, onsite collaboration sessions, and other business-critical activities

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence a team of developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, Databricks, and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns for code quality, maintainability, and reuse
• Represent the data engineering team and communicate technical concepts and data outcomes to stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards, including encryption and fine-grained access control, to support privacy compliance

Data Engineer 4 – Manager, IC

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions
• Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake
• Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data community members
• Collaborate with product managers and software engineers to deliver cloud-first data solutions
• Independently design, build, and deliver cloud data solutions and applications
• Architect and enforce data engineering design patterns for code quality, maintainability, and reusability
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Implement data security standards including encryption and fine-grained access control

• Develop, configure, and maintain application components including intake forms, role-based dashboards, workflow routing, notifications, and audit logging
• Design, build, and maintain relational and list-based data structures supporting workflow routing, threshold logic, versioning, and historical reporting
• Build and maintain data pipelines for ingesting, validating, transforming, and loading data from Excel, CSV, form submissions, and upstream enterprise systems
• Write, optimize, and troubleshoot SQL queries and stored logic for application functionality, reporting, and data quality checks
• Develop and support REST API integrations and JSON data exchanges
• Build reporting views, dashboards, and automated document or summary outputs for request status, SLA compliance, and enterprise performance metrics
• Translate business epics, user stories, and acceptance criteria into working functionality
• Participate in backlog refinement, estimation, sprint planning, and daily stand-ups
• Perform data validation, maintain test data, support unit and regression testing, and assist with defect triage and resolution
• Use Git-based version control and participate in peer code reviews, branching, merge practices, deployment, and release activities
• Produce and maintain technical documentation, including data dictionaries, schema and configuration documentation, and runbooks
• Support compliance with federal security, privacy, records management, and Section 508 accessibility requirements
• Collaborate with business analysts, product owners, testers, and client subject matter experts
• Communicate progress, risks, and blockers to the technical lead and project manager
• Stay current with relevant development, data engineering, and platform capabilities

• Collaborate across Agile teams to design, develop, test, implement, and support full-stack technical solutions
• Influence developers, data analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems
• Use Python and Spark, relational and NoSQL databases, Databricks, Snowflake, and cloud-based data warehousing platforms
• Build and deploy proprietary AI-powered risk-management solutions with the GRC team and company partners
• Design, build, and deliver scalable cloud data solutions and applications independently
• Architect and enforce reusable data engineering design patterns across platforms and pipelines
• Communicate technical concepts and data outcomes to internal and external stakeholders
• Design and build scalable, resilient, and operationally efficient data pipelines and platforms
• Mentor peers and junior engineers while contributing hands-on technical expertise
• Lead large-scale data initiatives end to end, making architectural decisions and evaluating platform choices such as Snowflake versus Databricks

Data Engineer jobs in Virginia

Data Engineer

Data Engineer

Senior Architect, Licensed Building Architect, Data Centers

Senior Architect, Licensed Building Architect – Data Centers

Senior Architect, Licensed Building Architect, Data Centers

Senior Architect, Licensed Building Architect – Data Centers

Data Engineer 4 – Manager, IC

Data Engineer

Data Engineer

Senior Data Engineer – Risk Tech