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Data Analyst ETL SpecialistRed Arch Solutions • Reston, Virginia, United States
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Data Analyst ETL Specialist

Red Arch Solutions
  • US
    Reston, Virginia, United States
  • US
    Reston, Virginia, United States
Jetzt Bewerben

Über

Red Arch Solutions is a proven and effective small business IT integrator and consultant, recognized as a leading IT provider to the Federal Government, primarily focused within the Intelligence Community. We provide our customers with state-of-the-art tactical and strategic intelligence, systems, and software engineering solutions, solving some of the most pressing and unique intelligence community challenges related to national security. Our employees are exceptionally skilled professionals. We recruit individuals who are dedicated to collecting, analyzing, and disseminating critical information to national leaders. Our engineers design, develop, and deploy mission critical solutions to support our war fighters. We are also an official AWS Partner and are pleased to now offer Cloud Solutions Architecture and Engineering using Amazon Web Services.
Position Overview The Data Analyst / ETL Specialist will serve as a core member of the Data Onboarding Team supporting the Client’s Zero Trust (ZT) Data Environment initiative. This individual will be responsible for identifying, registering, and onboarding discrete datasets into the ZT environment, developing data onboarding workflows, and building reporting capabilities to track adoption of ZT services. The role requires close collaboration with data stewards, governance teams, and ZT Core Services personnel in a dynamic, mission-focused environment.
Key Responsibilities
Support the identification of discrete datasets for registration into the ZT Ecosystem, prioritizing resources in accordance with government-directed priority order
Assist Data Stewards in preparing and submitting dataset registrations; ensure data is accurately characterized using the 5 Ws framework (Who, What, When, Where, Why)
Develop and document a comprehensive Data Onboarding Process covering all required steps from dataset identification through ingestion into the ZT Ecosystem (e.g., Visio-type diagram and accompanying SOP)
Gather and incorporate stakeholder feedback from data governance teams and ZT Core Services during onboarding process development
Develop reporting requirements in coordination with stakeholders to support visibility into ZT service adoption across the client organization and external audiences
Build and maintain a reporting capability specifically covering data onboarding and ingestion metrics
Maintain all task documentation and artifacts in GitLab in accordance with the ZT Program's GitLab standards
Support monthly status briefs and quarterly Program Management Reviews (PMRs) as required
Perform ETL operations including data extraction, transformation, cleaning, and loading to support onboarding activities
Develop visualizations and dashboards to communicate data trends and onboarding progress to senior stakeholders and decision makers
Required Qualifications
16 years of experience. Experience developing requirements based on needs obtained from users. Experience building scripts to manipulate data for ingestion into databases.
Minimum 5 years of experience in data analysis, data science, or a related field
Demonstrated proficiency in Python for data manipulation, automation, and ETL processes
Experience with data visualization tools such as Tableau, Splunk, Oracle DV, or Qlik
Strong background in ETL pipeline development and data mining
Familiarity with Agile project management environments (JIRA, Confluence, or similar)
Experience working with and briefing senior-level stakeholders and decision makers
Strong analytical and written communication skills; ability to translate complex data processes into clear, consumable documentation
Experience developing SOPs, process flows, or similar documentation artifacts
Active TS/SCI with Polygraph
Preferred Qualifications
Experience supporting federal government or intelligence community programs
Familiarity with Zero Trust architecture concepts, particularly as they relate to data governance and access control
Experience with AWS services (SageMaker, Comprehend, S3) or cloud-based data environments
Knowledge of data governance frameworks and metadata management practices
Experience with Natural Language Processing (NLP) for automated data tagging or classification
Familiarity with GitLab for documentation and version control
Experience using ServiceNow or Databricks in a data management context
Machine learning background with classification/regression experience
Education
Bachelor's degree in a relevant field preferred (Computer Science, Data Science, Information Systems, Analytics, or related discipline) (4 years of experience and be used in lieu of a BS degree)
Master's degree preferred; equivalent professional experience may be considered in place of an advanced degree (6 years of experience can be used in lieu of a MS degree)
Core Competencies
Ability to operate with limited supervision in a fast-paced, mission-driven environment
Strong stakeholder engagement skills with experience facilitating cross-team collaboration
Proactive, detail-oriented approach to documentation and process development
Demonstrated ability to respond to high-priority tasks on short notice with high-quality deliverables
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  • Reston, Virginia, United States

Sprachkenntnisse

  • English
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