Data Engineer (Power BI)

CACI International
$75,200 - $158,100Remote

About The Position

The Office of the Deputy Assistant Secretary of War – Science & Technology Foundations (STF) Team is seeking a skilled Mid-Level Data Engineer to support the creation and sustainment of business intelligence tool. The tools you create will provide critical information on S&T program health to the War Research Enterprise leadership. This role allows you to work remotely; however, the client requires that you live in the Washington, D.C. Metro Area.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Minimum of five (5) years of experience in database and dashboard development.
  • Strong experience with databases, data processing frameworks, and orchestration tools.
  • Proficiency in API integration and data ingestion from various sources.
  • Experience with data modeling, ETL processes, and data pipeline development.
  • Expert proficiency in PowerBI
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively with cross-functional teams.

Responsibilities

  • Research, recommend, and implement the optimal combination of technologies for the infrastructure dashboard data platform (e.g., databases, processing frameworks, orchestration tools).
  • Set up necessary data storage solutions with a focus on long-term scalability.
  • Connect live data via API or other appropriate mechanisms from multi-domain sources.
  • Collaborate with domain experts to understand Research, Development, Test & Evaluation (RDT&E) data being ingested.
  • Ensure modeling controls for data abnormalities and structural differences.
  • Build a robust data pipeline for loading and transforming data into a model appropriate for STF use, considering both short- and long-term data goals.
  • Create and enforce data governance policies, including data quality standards, data lineage tracking, and metadata management.
  • Communicate these policies to data analysts and stakeholders.
  • Monitor and optimize database and/or data model performance and security.
  • Conduct periodic testing of pipeline health and data validity.
  • Work with data stakeholders and the data analyst team to ensure the background data and architecture meet the needs of requested visualizations and analyses.
  • Create and maintain detailed documentation for data architecture, data models, pipeline jobs, and all related processes.

Benefits

  • flexible time off benefit
  • robust learning resources
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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