Sr. Data Engineer

Posted Yesterday
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Homeland, VA, USA
In-Office
150K-160K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Security • Software
The Role
Lead design, build, and maintain large-scale data pipelines and automation to provision data to consumers. Partner with data scientists and architects to deploy models, ensure performance and reliability of ETL, and champion agile best practices. Mentor engineers, vet big-data technologies, document evolving requirements, and collaborate cross-functionally to deliver secure cloud-native data solutions for a federal customer.
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Job Summary & Responsibilities

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 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 Engineer will be 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 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, organizational practices, technical innovation, and culture; then lead cross functional team members to solution and deliver 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 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 

Preferred 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. 
  • 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.


Skills Required

  • Must be a US Citizen.
  • Must be able to obtain Public Trust Clearance.
  • 10+ years of IT experience including design, analysis, and implementation of large-scale, complex data architectures.
  • Proficiency in manipulating data with Python, R, SQL, SAS.
  • Experience working and deploying AWS cloud-native data and AI technologies.
  • Experience mentoring data engineers, establishing best practices, and providing code review.
  • Experience working in an Agile environment using advanced design and engineering best practices.
  • Knowledge of Data Management and Data Architecture concepts, data warehousing, big data tools, and data analytics/data science concepts.
  • Ability to communicate technical solutions to stakeholders and explain business value.
  • Ability to work hands-on with developers to deliver solutions and provide customer support and solutioning.
  • Support business development by maturing strategic solution ideas and aligning them with customer needs.

ECS Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ECS and has not been reviewed or approved by ECS.

  • Healthcare Strength ECS advertises multiple national-network medical plan options with HSA eligibility alongside dental and vision coverage. Coverage generally begins quickly and is paired with company-paid short- and long-term disability, adding stability to the health package.
  • Retirement Support A 401(k) with Safe Harbor and immediate vesting on employer contributions is emphasized, with an employer match available. Access to an employee stock purchase plan via the parent company provides an additional savings avenue.
  • Parental & Family Support Paid parental leave up to 30 days, adoption assistance, and other family-oriented leaves are highlighted. Feedback suggests these offerings add meaningful value beyond base pay for many roles.

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The Company
HQ: Elkhorn, NE
2,129 Employees
Year Founded: 1993

What We Do

ECS, a segment of ASGN (NYSE: ASGN), delivers advanced solutions and services in cloud, cybersecurity, artificial intelligence (AI), machine learning (ML), application and IT modernization, and science and engineering. The company solves critical, complex challenges for customers across the U.S. public sector, defense, intelligence and commercial industries. ECS maintains partnerships with leading cloud, cybersecurity, and AI/ML providers and holds specialized certifications in their technologies. Headquartered in Fairfax, Virginia, ECS has more than 3,400 employees throughout the U.S. and has been recognized as a Top Workplace by The Washington Post for the last five years.

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