Data Engineer - Active Secret Clearance

Significance, Inc.Arlington, VA
2d$95,000 - $110,000Hybrid

About The Position

Significance is a woman-owned consulting firm serving the federal government. We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun! Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last seven years. Significance is seeking a Secret-cleared Data Engineer to support our program with the US Army. This work is to be performed on a hybrid basis with onsite support required in the Pentagon/Arlington VA area. As a Data Engineer, you will be responsible for: -Comparative analytics (parametric and non-parametric) -Campaign analysis and course of action recommendations -Decision support tools and dashboards -Data wrangling and management -Understanding software and AI/ML capabilities and limitations -Converting data/information to knowledge

Requirements

  • Active Secret security clearance
  • Bachelors Degree in related field
  • 3-5 years of relevant experience.
  • Programming experience in R or Python with a specific emphasis on data analysis frameworks (Pandas, NumPy, Tidyverse).
  • Programming experience in data visualization frameworks (Shiny, Streamlit, Dash, Plotly, ggplot2) and SQL databases (Postgres, Oracle).
  • Familiarity with coding in (Python, R, VS Code, Microsoft Suite (Power BI, Power Apps, VBA), SQL
  • Data analytic skills (Simulations, Basic descriptive statistics, and Visualizations)
  • Personal skills (Ability to brief senior leaders, Ability to learn on the job and seek out unique opportunities to broaden themselves and the unit).

Responsibilities

  • Comparative analytics (parametric and non-parametric)
  • Campaign analysis and course of action recommendations
  • Decision support tools and dashboards
  • Data wrangling and management
  • Understanding software and AI/ML capabilities and limitations
  • Converting data/information to knowledge
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