Senior Data Engineer

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

Job summary

Everforth ECS is seeking a Sr. Data Engineer to support a DHS-focused data analytics and BI platform.

This remote role guides a cross-functional team of data scientists, data engineers, developers, and staff to deliver scalable data pipelines and reliable data provisioning for federal customers. Requirements include 10+ years IT experience, US citizenship, ability to obtain Public Trust Clearance, and strong Python/SQL skills.

Qualifications

• 10+ years of IT experience including design, analysis, and implementation of large-scale data architectures.
• US citizenship and ability to obtain Public Trust Clearance.
• Proficiency in Python and SQL.
• Experience with AWS Cloud native data and AI technologies.
• Familiarity with data warehousing, big data tools, and data analytics.

Responsibilities

• Complete development across data pipeline design, storage, and provisioning.
• Partner with data scientists, data architects, and stakeholders to deploy enhancements.
• Write code ensuring performance and reliability of data extraction and processing.
• Support automation for data ingest and upstream data format changes.
• Promote lean-agile engineering practices and document complex requirements.
• Collaborate with cross-functional teams to deliver improvements.
• Lead efforts to vet new technologies and assess risks.
• Mentor team and ensure customer-focused solutions.

Skills

Data pipeline design

Cross-functional leadership

Agile methodologies

Stakeholder communication

Tools

Python

SQL

AWS

Data Warehousing

Big Data

Job description

Everforth ECS is seeking a Sr. Data Engineer to work remotely. 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. 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

• 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.

• Proficiency in 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 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.

• 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.