Senior Data Engineer

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

Job summary

EverforthECS is seeking a Sr. Data Engineer to join our remote team supporting DHS. You will design and implement data architectures, pipelines, and analytics solutions that empower decision making across government stakeholders.

The ideal candidate has 10+ years IT experience, strong Python/SQL skills, and proven ability to lead cross-functional efforts in an Agile environment using AWS cloud native technologies.

Qualifications

• 10+ years of IT experience with large-scale data architectures.
• Proficiency in Python and SQL for data processing and analytics.
• Experience deploying AWS cloud-native data solutions and AI technologies.

Responsibilities

• Lead the development of data pipelines to store, manage, and provision data.
• Collaborate with data scientists and federal stakeholders to deploy enhancements.
• Write code ensuring performance and reliability of data extraction and processing.
• Advocate lean‑agile practices and maintain CI/CD with automated testing.
• Communicate technical solutions to leadership and cross‑functional teams.

Skills

Python

SQL

AWS Cloud

Job description

EverforthECS is seeking aSr. Data Engineer to workremotely.

EverforthECS 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.

The Sr. Data Engineer will be a key member of our team. They will provide critical support in product development using their expertise to merge technical, business, and customer needs into achievable objectives and driving the completion of those objectives. As an expert in delivering technical projects, the Engineer will identify challenges and improvements to process and technical innovation. The Engineer will improve a production system by hardening the pipeline, improving event detection and root cause analysis, mature an AI agent analyst, and lead cross‑functional team members to deliver those improvements.

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 enhancements into production.
• Write code to ensure the performance and reliability of data extraction and processing.
• Support continuous process automation for data ingest including new sources and upstream data format changes.
• Achieve technical excellence by advocating for and adhering to lean‑agile engineering principles and practices such as 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 AI agent space, 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

Qualifications

• 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 efforts through maturing strategic solution ideas and aligning them with customer needs.
• Proficiencyin manipulating data (Python, SQL).
• Ability to develop a roadmap that links the deployment of architectural capabilities within the organization to address inherent 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 working inAgileenvironmentleveragingadvanced design and engineering best practices.
• Building solutions that make use of data to improve business insights, help with operational decisions.
• 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 AWSCloudnative data and AI technologies.