Systems Engineer

Job Description

Reinventing Geospatial (RGi) is a leading expert in geospatial solutions for Defense, Intelligence, and Federal clients. We enhance situational awareness for soldiers and analysts by integrating software development with geospatial intelligence. Our projects range from data collection to advanced deep learning, leveraging tools like Python, Java, and ArcGIS.

We don't just fill roles we build teams of high performers and leaders who make an immediate impact. At our core, we're driven by innovation and powered by people who work at the intersection of passion and performance. Here, you'll collaborate with bold thinkers, leverage cutting edge technology, and tackle meaningful challenges from day one.

Our culture is defined and anchored by three pillars:

• Energy : We bring passion, purpose, and urgency to our work.
• Edge : We take initiative, embrace growth, and step outside our comfort zone.
• Execution : We get things done smartly, decisively, and with real results.

Active Top Secret clearance with an ability to obtain SCI access and willingness to obtain CI Polygraph. US Citizenship Required.

• Administer Databricks environments, overseeing workspace configuration, user roles, cluster optimization, and issue resolution.
• Support and maintain AWS infrastructure (EC2, S3, RDS, IAM, Cloud Watch, Lambda) to ensure secure, scalable, and reliable operations.
• Collaborate with data scientists, developers, and mission analysts to translate technical requirements into effective engineering solutions.
• Implement and manage Infrastructure-as-Code (IaC) using Cloud Formation and Terraform for consistent, automated deployments.
• Contribute to Agile processes, including sprint planning, standups, and retrospectives.
• Assist with system integration, security hardening, and operational readiness to meet compliance and mission objectives.
• Develop and maintain comprehensive system documentation aligned with customer standards.

• Education:
  
  Bachelor’s in Computer Science, Information Systems, Engineering, or related field with 6+ years experience.
• Databricks Expertise:
  Proven, hands‑on experience administering and supporting Databricks in enterprise or mission‑critical environments.
• Cloud Infrastructure:
  Skilled in managing AWS services including EC2, RDS, S3, IAM, and networking components.
• Automation:
  Experienced in developing and testing automation scripts to streamline cloud and data operations.
• Documentation:
  Strong ability to create and maintain technical documentation, work instructions, and configuration records.
• Data Manipulation:
  Proficient in Microsoft Excel for data transformation, analysis, and visualization.
• Presentation Development:
  Experienced in building PowerPoint presentations, integrating visuals, graphs, and analytical insights.
• Security & Compliance:
  Familiar with classified cloud environment standards and compliance best practices.
• Certification:
  Must hold or be willing to obtain Security+ CE (or equivalent) within six months for privileged user access.
• Agile
  
  Experience:
  
  Background in Agile / Scrum environments using tools such as Jira and Confluence.
• Professional
  
  Skills:
  
  Strong analytical and problem‑solving abilities, high attention to detail, and capable of working independently or within collaborative, fast‑paced teams.

• Experience supporting DoD or IC customers.
• Familiarity with the IC customer mission systems and data handling standards.
• Knowledge of containerization (e.g., Docker, ECS, EKS).
• Experience with Python (Pandas, Boto3, PySpark, MLOps), Java or Scala in a data engineering context.
• AWS certification (e.g., AWS Solutions Architect Associate or Professional).
• Familiarity with scripting languages such as Bash and Bash Scripting.
• Experience with Databricks, Jupyter Notebook, Microsoft Power Query and Power Pivot.
• Strong proficiency in SQL, including advanced performance tuning, query plan analysis, and indexing strategies.
• Experience with transforming data and join/merge with other data sets sharing a common key.
• Software Architectures:
  Client-Server, Microservices, Model-View-Controller.
• Cloud…