Sr. Data Engineer

ecsfederal; Virginia (MN); Hybrid; USD 150,000 - 160,000; Full time

Job summary

Everforth ECS seeks a Senior Data Engineer to work remotely on a high-visibility DHS OCIO data platform. You will guide a cross-functional team of data scientists, engineers, and staff to deliver data solutions that empower federal customers.

The role emphasizes lean-agile practices, model deployment, and scalable data architectures across cloud-native environments. You will mentor engineers, evaluate new big data technologies, and collaborate with stakeholders to deliver reliable data

Qualifications

• 10+ years of IT experience in design, analysis, and implementation of large-scale data architectures.
• US citizenship and ability to obtain Public Trust Clearance.
• Experience in data management, data warehousing, and big data tooling.
• Experience with AWS cloud-native data and AI technologies.
• Experience mentoring engineers and working in Agile environments.
• Ability to communicate complex technical solutions to multiple stakeholders.

Responsibilities

• Complete development across data pipelines and data provisioning.
• Collaborate with data scientists, data architects, and stakeholders to deploy models.
• Write code for data extraction and processing performance.
• Automate data ingest processes.
• Lead lean-agile projects with API-first design and CI practices.
• Document requirements with program management and engineers.
• Mentor team and promote best practices.
• Evaluate new big data technologies and assess risks.
• Collaborate across cross-functional teams.

Skills

Python

R

SQL

SAS

Data manipulation

AWS

Data architecture

Lean-Agile

Communication

Tools

AWS

CI/CD

Git

Job description

Everforth ECS is seeking a Sr. Data Engineer to workremotely.

Everforth ECS is seeking an experienced Sr. Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing data solutions that empower our federal customers. In this role, you will be guiding a cross-functional team (composed of data scientists, data engineers, developers, and functional staff) to support our Department of Homeland Security (DHS) Office of the Chief Information Officer (OCIO) customer. The project being supported is extremely high priority and has a lot of visibility from senior Federal leadership.

The Sr.Data Engineerwillbe a key member of our team. They will provide critical support in product discovery using their data expertise to merge technical, business, and customer needs into achievableobjectivesand driving the completion of thoseobjectives.As anexpert in delivering technical projects, the Engineerwillidentifychallengesand improvementstoprocess, organizational practices,technical innovation, and culture;thenleadcrossfunctional teammembersto solution and deliverimprovements.

Job responsibilities include:

• 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.

Salary: $150,000 - $160,000

General Description of Benefits

• 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.
• Support Business Development effortsthrough maturingstrategic solution ideas andaligning them with customer needs.
• 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 ofdata to improve business insights,help withoperational decisions, andsupportperformance 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.