Data Engineer SME

The Swift GroupHerndon, VA
100d$49,996 - $290,004

About The Position

The Swift Group is a privately held, mission-driven and employee-focused services and solutions company headquartered in Reston, VA. Our capabilities include Software Development, Engineering & IT, Data Science, Cyber Enablement, Logistics, and Training. Founded in 2019, Swift supports Civilian, Defense, and Intelligence Community customers across the country and around the globe. We are looking for a Subject Matter Expert-level Data Engineer to join our dynamic team in Herndon, VA to design data models, build data warehouses and data lakes, automate data pipelines, and work with datasets of all sizes.

Requirements

  • Bachelor’s or Master’s degree.
  • Minimum of sixteen (16) years of relevant engineering experience.
  • Experience integrating diverse data streams.
  • Experience with data transfer tools (Ex: NiFi, Cribl, etc.).
  • Experience establishing data standards and acting as custodian of IT and service delivery data sets and streams.
  • Experience in analyzing complex networks and systems.
  • Experience in analyzing log data from various network components and operating systems.
  • Knowledge of complex environments involving shared networks and multiple security enclaves.
  • Ability to manage and troubleshoot data feeds.
  • Splunk familiarization.
  • Python experience.
  • US citizenship and an active TS/SCI with Polygraph security clearance required.

Responsibilities

  • Optimize overall data/information flow by reducing redundancy and enabling accessibility within security boundaries.
  • Apply data extraction, transformation and loading (ETL) techniques to connect large data sets from a variety of sources.
  • Create data collection frameworks for structured and unstructured data.
  • Create cyber and operational analytic tools for consumers that assist them in building and optimizing downstream products inclusive of constructing dataset procedures that can help with data mining, modeling, and production.
  • Use and develop standards, tools, processes and governance for capturing, modeling, storing, and delivering data for the enterprise.

Benefits

  • Comprehensive healthcare benefits.
  • Wellness benefits.
  • Financial benefits.
  • Retirement benefits.
  • Education benefits.
  • Time off benefits.
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