Data Engineer

FAIRFAX, VA, US • Posted 2 days ago • Updated 1 hour ago
Full Time
On-site
USD $145,000.00 - 160,000.00 per year
Fitment

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Job Details

Skills

  • Data Flow
  • Scripting
  • Apache Kafka
  • Mapping
  • Tier 2
  • Technical Writing
  • Microsoft SharePoint
  • Analytical Skill
  • Decision-making
  • Usability
  • Computer Science
  • Software Development
  • Extract
  • Transform
  • Load
  • Cloud Computing
  • Microsoft Azure
  • Google Cloud Platform
  • Google Cloud
  • Python
  • Orchestration
  • Apache Airflow
  • Apache Spark
  • Amazon Web Services
  • Communication
  • Security Clearance
  • Data Engineering
  • Analytics
  • Data Lake
  • Design Patterns
  • Data Quality
  • Management
  • DevSecOps
  • Agile
  • SAFE
  • Version Control
  • Collaboration
  • GitLab
  • GitHub
  • Confluence
  • Data Visualization
  • Dashboard
  • Reporting
  • Tableau
  • Microsoft Power BI
  • Databricks
  • SQL
  • Grafana
  • Semantics
  • Interfaces
  • Meta-data Management
  • API
  • Workflow
  • SAP BASIS
  • Law
  • Artificial Intelligence
  • Cyber Security
  • Partnership
  • Innovation
  • Accountability

Summary

Job Description

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite at our Fairfax, VA corporate office and/or our Ashburn, VA customer site.

Please Note: This position is contingent upon contract award.

The Data Engineer supports the construction and day-to-day operation of Customs and Border Protection (CBP) data pipelines, contributing to the platform's mission of delivering reliable, analytics-ready data to operators and mission partners.

Job Responsibilities:
  • Configures structured data flows using Apache Airflow, AWS Glue jobs, Spark scripts, and Kafka topics under guidance from senior engineering personnel.
  • Performs data preparation tasks including schema mapping, format conversions, metadata tagging, and movement into bronze, silver, and gold medallion tiers.
  • Executes baseline quality checks using profiling tools, validation rules, and drift-monitoring alerts to detect abnormalities within lake environments.
  • Applies approved security, IAM, and data-handling patterns under guidance from senior engineers and cybersecurity personnel to support cybersecurity requirements for operational data handling.
  • Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures.
  • Updates technical documentation, workflow diagrams, and pipeline inventories within SharePoint, Confluence, and GitLab repositories.
  • Tracks performance indicators including data freshness, pipeline run duration, and feature availability, contributing analytical inputs for engineering decision-making.
  • Coordinates with developers, platform engineers, and data operations specialists to support routine updates, backlog work, and deployment activities.
  • Contributes to operational readiness by executing repeatable engineering tasks that maintain pipeline continuity, strengthen data usability, and support enterprise analytics across mission communities.
  • Travel outside the Northern Virginia area is expected to be 15% or less.
  • Performs other duties as assigned.
Salary Range: $145,000-160,000

General Description of Benefits

Required Skills

  • ; Must be able to obtain and maintain a Public Trust determination.
  • Bachelor's degree in a STEM field - data engineering or computer science preferred.
  • 3+ years of experience in data engineering, software development, or a closely related technical discipline, with foundational exposure to data pipeline construction, ETL workflows, or cloud-based data platforms such as AWS, Microsoft Azure, or Google Cloud Platform (Google Cloud Platform).
  • Working knowledge of Python and/or SQL, with familiarity with at least one data orchestration or processing tool such as Apache Airflow, Apache Spark, or AWS Glue.
  • Strong teaming and communication skills will be required for this position.


Desired Skills

  • Active SECRET security clearance.
  • Prior internship, academic project, or professional experience supporting data engineering or analytics work in a federal, defense, or intelligence community environment.
  • Exposure to medallion architecture data lake design patterns, data quality monitoring techniques, or metadata and lineage management practices.
  • Familiarity with DevSecOps practices, Agile or SAFe development methodologies, or version control and collaboration tools such as GitLab, GitHub, or Confluence.
  • Experience with data visualization or dashboard reporting tools such as Tableau, Power BI, Databricks SQL, or Grafana.
  • Experience with or strong interest in designing semantic data interfaces, metadata layers, or API-based data products that enable automated workflows, AI assistants, and emerging agentic AI capabilities.
#EverforthECS1

ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

Everforth ECS is the federal segment of Everforth , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies.

Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow.

We value:
  • Attracting and developing top talent and high-performing teams
  • Fostering a culture that is engaging, accountable, and mission-driven

Meet the challenge. Make a difference with Everforth ECS!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10112MAN
  • Position Id: 4556
  • Posted 2 days ago
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