Note: The job is a remote job and is open to candidates in USA. ECS is seeking an experienced Senior Data Engineer to support a federal Data Analytics and Business Intelligence platform for the Department of Homeland Security. The role guides cross-functional teams, delivers data pipeline and architecture solutions, deploys models, drives process automation, and supports technical innovation and customer needs.
Responsibilities
- Complete development efforts across data pipeline to store, manage, store, and provision to data consumers
- Partner with data scientists, data architects, and federal stakeholders to deploy models in production
- Write code to ensure the performance and reliability of data extraction and processing
- Support continuous process automation for data ingest
- Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
- Work with program management and engineers to implement and document complex and evolving requirements
- Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
- Ability to vet new and novel technologies in the big data space and make recommendations and articulate risk involved with each solution
- Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists
- Support Business Development efforts through maturing strategic solution ideas and aligning them with customer needs
- Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization
- Ability to work hands on with developers to deliver solutions and provide customer support and solutioning
- Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
- Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions
- Experience working in Agile environment leveraging advanced design and engineering best practices
- Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management
Skills
- Must be a US Citizen
- Must be able to obtain Public Trust Clearance
- 10+ years of IT experience including experience in design, analysis, and implementation of large-scale, complex data architectures
- Proficiency in manipulating data (Python, R, SQL, SAS)
- Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent data challenges faced by the organization
- Ability to work hands on with developers to deliver solutions and provide customer support and solutioning
- Strong ability to communicate technical solutions with multiple stakeholders at different leadership levels to build relationships, provide guidance, and explain business value of technical solutions
- Experience mentoring data engineers, establishing best practices, providing code review, and helping team to understand business value of solutions
- Experience working in Agile environment leveraging advanced design and engineering best practices
- Building solutions that make use of data to improve business insights, help with operational decisions, and support performance management
- Knowledge of Data Management and Data Architecture concepts, Data Warehousing and Big Data tools, Data Analytics and applicable knowledge of Data Science concepts and tools
- Experience working and deploying AWS Cloud native data and AI technologies
Benefits
- Remote work
Company Overview