Data Engineer

Posted 21 Days Ago
2 Locations
In-Office
110K-165K Annually
Mid level
Artificial Intelligence • Cloud • Information Technology • Security • Software
The Role
Develop and maintain ETL/data pipelines and perform complex data analysis to support AI/ML development across multiple classification levels. Document workflows, coordinate data requirements with stakeholders, optimize and automate data delivery, and troubleshoot technical challenges.
Summary Generated by Built In
Job Summary & Responsibilities

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite with the potential for up to 5 days onsite primarily at our Springfield, VA customer SCIF site, and/or at our Fairfax, VA company office. 

 

Everforth ECS seeks a Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team environment. This role will report to a project lead and will focus on developing and maintaining data pipelines, as well as performing data analysis, to support Artificial Intelligence development across multiple classification levels and environments. 

 

Position Responsibilities: 

  • Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts. 
  • Work in person at the required office and, as needed, classified locations with team members and customer stakeholders. 
  • Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork. 
  • Develop and document data workflows, assisting stakeholders with data management tasks, procedures, and best practices across multiple environments and classification levels. 
  • Extract, transform, and load data to prepare for ingest into Machine Learning (ML) development environments. 
  • Coordinate with the Program Manager and Data Team to determine data requirements and to serve as the project data advocate. 
  • Independently identify, document, and address technical challenges. 
  • Identify, design, and implement internal process improvements including optimizing data delivery and automating manual processes. 
  • Complete complex data analysis, catering results to the customer in a holistic and easy-to-understand way. 

 

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.

 

Salary Range: $110,000 - $165,000

General Description of Benefits 

 

Preferred Qualifications
  • Must be a US Citizen 
  • Ability to obtain a TS/SCI Clearance W/ Poly
  • Bachelor's Degree in Data Engineering, Data Science, Information Management, Computer Science, Engineering, or an equivalent field 
  • 2-8+ years of working experience in one of the related areas: Data Engineering, Computer Engineering, Computer Science, or Data Science 
  • Demonstrated advanced proficiency with Python, Pyspark, and/or SQL 
  • Demonstrated advanced proficiency with parsing data in different formats for ML applications 
  • Demonstrated advanced experience with text parsing 
  • Demonstrated advanced proficiency of database principles and technology 
  • Demonstrated advanced data processing and data transformation skills with the ability to build, optimize, and automate data pipelines 
  • Demonstrated ability to perform root cause analysis on external and internal processes to identify opportunities for improvement and answer questions 
  • Excellent communication skills, analytical skills, and problem-solving abilities 

Skills Required

  • Must be a US Citizen
  • Ability to obtain a TS/SCI Clearance
  • Bachelor's Degree in Data Engineering, Data Science, Information Management, Computer Science, Engineering, or equivalent
  • 2-8+ years of experience in Data Engineering, Computer Engineering, Computer Science, or Data Science
  • Advanced proficiency with Python, PySpark, and/or SQL
  • Advanced proficiency with parsing data in different formats for ML applications
  • Advanced experience with text parsing
  • Advanced proficiency of database principles and technology
  • Advanced data processing and data transformation skills; ability to build, optimize, and automate data pipelines
  • Ability to perform root cause analysis on external and internal processes
  • Excellent communication, analytical, and problem-solving skills

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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